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ORCIDVasudeva Varma
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- affiliation: International Institute of Information Technology Hyderabad, India
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2020 – today
- 2025
[j24]Nitin Ramrakhiyani
, Vasudeva Varma, Girish Keshav Palshikar, Sachin Pawar:
Gauging, enriching and applying geography knowledge in Pre-trained Language Models. Inf. Process. Manag. 62(1): 103892 (2025)- 2024
- [j23]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Multi-task learning neural framework for categorizing sexism. Comput. Speech Lang. 83: 101535 (2024) - [c240]Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma:
Can LLMs Generate Architectural Design Decisions? - An Exploratory Empirical Study. ICSA 2024: 79-89 - [c239]Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma:
Leveraging Generative AI for Architecture Knowledge Management. ICSA-C 2024: 163-166 - [c238]Gokul Thota, Vasudeva Varma:
Generating Entity Embeddings for Populating Wikipedia Knowledge Graph by Notability Detection. NLDB (2) 2024: 10-23 - [c237]Rahul Mehta, Bhavyajeet Singh, Vasudeva Varma, Manish Gupta:
CircuitVQA: A Visual Question Answering Dataset for Electrical Circuit Images. ECML/PKDD (1) 2024: 440-460 - [c236]Rahul Mehta, Andrew Hoblitzell, Jack O'Keefe, Hyeju Jang, Vasudeva Varma:
Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models. SemEval@NAACL 2024: 342-348 - [c235]Harshit Gupta, Manav Chaudhary, Shivansh Subramanian, Tathagata Raha, Vasudeva Varma:
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers. SemEval@NAACL 2024: 1758-1766 - [c234]Gokul Thota, Vasudeva Varma:
A Category-agnostic Graph Attention-based Approach for Determining Notability of Articles for Wikipedia. WWW (Companion Volume) 2024: 911-914 - [i50]Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma:
Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study. CoRR abs/2403.01709 (2024) - [i49]Rahul Mehta, Andrew Hoblitzell, Jack O'Keefe, Hyeju Jang, Vasudeva Varma:
MetaCheckGPT - A Multi-task Hallucination Detector Using LLM Uncertainty and Meta-models. CoRR abs/2404.06948 (2024) - [i48]Manav Chaudhary, Harshit Gupta, Vasudeva Varma:
BrainStorm @ iREL at SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets. CoRR abs/2405.11192 (2024) - [i47]Harshit Gupta, Manav Chaudhary, Tathagata Raha, Shivansh Subramanian, Vasudeva Varma:
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers. CoRR abs/2405.16129 (2024) - 2023
- [c233]Bhavyajeet Singh, Aditya Hari, Rahul Mehta, Tushar Abhishek, Manish Gupta, Vasudeva Varma:
XFLT: Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text. ECAI 2023: 2162-2169 - [c232]Nitin Ramrakhiyani, Vasudeva Varma, Girish Keshav Palshikar:
Extracting Orientation Relations between Geo-Political Entities from their Wikipedia Text. GeoExT@ECIR 2023: 44-50 - [c231]Praveen Garimella, Vasudeva Varma:
Learning through Wikipedia and Generative AI Technologies. EDM 2023 - [c230]Nitin Ramrakhiyani, Vasudeva Varma, Girish K. Palshikar, Sachin Pawar:
Zero-shot Probing of Pretrained Language Models for Geography Knowledge. Eval4NLP 2023: 49-61 - [c229]Savita Bhat, Vasudeva Varma:
Large Language Models As Annotators: A Preliminary Evaluation For Annotating Low-Resource Language Content. Eval4NLP 2023: 100-107 - [c228]Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. INLG 2023: 15-27 - [c227]Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma:
Neural Models for Factual Inconsistency Classification with Explanations. ECML/PKDD (3) 2023: 410-427 - [c226]Savita Bhat, Vasudeva Varma, Niranjan Pedanekar:
Generative Models For Indic Languages: Evaluating Content Generation Capabilities. RANLP 2023: 187-195 - [c225]Rahul Mehta, Vasudeva Varma:
LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa. SemEval@ACL 2023: 453-456 - [c224]Nirmal Manoj, Sagar Joshi, Ankita Maity, Vasudeva Varma:
iREL at SemEval-2023 Task 10: Multi-level Training for Explainable Detection of Online Sexism. SemEval@ACL 2023: 1691-1696 - [c223]Anubhav Sharma, Sagar Joshi, Tushar Abhishek, Radhika Mamidi, Vasudeva Varma:
Billy-Batson at SemEval-2023 Task 5: An Information Condensation based System for Clickbait Spoiling. SemEval@ACL 2023: 1878-1889 - [c222]Vijayasaradhi Indurthi, Vasudeva Varma:
Francis Wilde at SemEval-2023 Task 5: Clickbait Spoiler Type Identification with Transformers. SemEval@ACL 2023: 1890-1893 - [c221]Bhavyajeet Singh, Ankita Maity, Pavan Kandru, Aditya Hari, Vasudeva Varma:
iREL at SemEval-2023 Task 9: Improving understanding of multilingual Tweets using Translation-Based Augmentation and Domain Adapted Pre-Trained Models. SemEval@ACL 2023: 2052-2057 - [c220]Pavan Kandru, Bhavyajeet Singh, Ankita Maity, Kancharla Aditya Hari, Vasudeva Varma:
Tenzin-Gyatso at SemEval-2023 Task 4: Identifying Human Values behind Arguments Using DeBERTa. SemEval@ACL 2023: 2062-2066 - [c219]Ankita Maity, Pavan Kandru, Bhavyajeet Singh, Kancharla Aditya Hari, Vasudeva Varma:
IREL at SemEval-2023 Task 11: User Conditioned Modelling for Toxicity Detection in Subjective Tasks. SemEval@ACL 2023: 2133-2136 - [c218]Dhaval Taunk, Lakshya Khanna, Siri Venkata Pavan Kumar Kandru, Vasudeva Varma, Charu Sharma, Makarand Tapaswi:
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering. WWW (Companion Volume) 2023: 1138-1144 - [c217]Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma:
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. WWW 2023: 1703-1713 - [i46]Sayar Ghosh Roy, Anshul Padhi, Risubh Jain, Manish Gupta, Vasudeva Varma:
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents. CoRR abs/2301.00152 (2023) - [i45]Sagar Joshi, Sumanth Balaji, Aparna Garimella, Vasudeva Varma:
Graph-based Keyword Planning for Legal Clause Generation from Topics. CoRR abs/2301.06901 (2023) - [i44]Sagar Joshi, Sumanth Balaji, Jerrin Thomas, Aparna Garimella, Vasudeva Varma:
Investigating Strategies for Clause Recommendation. CoRR abs/2301.10716 (2023) - [i43]Bhavyajeet Singh, Pavan Kandru, Anubhav Sharma, Vasudeva Varma:
Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages. CoRR abs/2302.04790 (2023) - [i42]Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma:
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. CoRR abs/2303.12308 (2023) - [i41]Dhaval Taunk, Lakshya Khanna, Pavan Kandru, Vasudeva Varma, Charu Sharma, Makarand Tapaswi:
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering. CoRR abs/2303.12320 (2023) - [i40]Dhaval Taunk, Vasudeva Varma:
Summarizing Indian Languages using Multilingual Transformers based Models. CoRR abs/2303.16657 (2023) - [i39]Rahul Mehta, Vasudeva Varma:
LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER using XLM-RoBERTa. CoRR abs/2305.03300 (2023) - [i38]Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma:
Neural models for Factual Inconsistency Classification with Explanations. CoRR abs/2306.08872 (2023) - [i37]Ankita Maity, Anubhav Sharma, Rudra Dhar, Tushar Abhishek, Manish Gupta, Vasudeva Varma:
Multilingual Bias Detection and Mitigation for Indian Languages. CoRR abs/2312.15181 (2023) - 2022
- [c216]Sagar Joshi, Sumanth Balaji, Aparna Garimella, Vasudeva Varma:
Graph-based Keyword Planning for Legal Clause Generation from Topics. NLLP@EMNLP 2022: 276-286 - [c215]Dhaval Taunk, Sagar Joshi, Vasudeva Varma:
Profiling irony and stereotype spreaders on Twitter based on term frequency in tweets. CLEF (Working Notes) 2022: 2682-2686 - [c214]Sagar Joshi, Sumanth Balaji, Aditya Hari, Abhijeeth Singam, Vasudeva Varma:
Efficacy of Pretrained Architectures for Code Comment Usefulness Prediction. FIRE (Working Notes) 2022: 29-33 - [c213]Sumanth Balaji, Sagar Joshi, Aditya Hari, Abhijeeth Singam, Vasudeva Varma:
COVID-19 vaccine stance classification from tweets. FIRE (Working Notes) 2022: 320-324 - [c212]Dhaval Taunk, Vasudeva Varma:
Summarizing Indian Languages using Multilingual Transformers based Models. FIRE (Working Notes) 2022: 435-442 - [c211]Sayar Ghosh Roy, Anshul Padhi, Risubh Jain, Manish Gupta, Vasudeva Varma:
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents. HT 2022: 11-20 - [c210]Bhavyajeet Singh, Siri Venkata Pavan Kumar Kandru, Anubhav Sharma, Vasudeva Varma:
Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages. ICON 2022: 11-18 - [c209]Sagar Joshi, Sumanth Balaji, Jerrin Thomas, Aparna Garimella, Vasudeva Varma:
Investigating Strategies for Clause Recommendation. JURIX 2022: 73-82 - [c208]Sravani Boinepelli, Tathagata Raha, Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Leveraging Mental Health Forums for User-level Depression Detection on Social Media. LREC 2022: 5418-5427 - [c207]Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma:
Fact Aware Multi-task Learning for Text Coherence Modeling. PAKDD (2) 2022: 340-353 - [c206]Tathagata Raha, Sagar Joshi, Vasudeva Varma:
IIITH at SemEval-2022 Task 5: A comparative study of deep learning models for identifying misogynous memes. SemEval@NAACL 2022: 673-678 - [c205]Sagar Joshi, Dhaval Taunk, Vasudeva Varma:
IIIT-MLNS at SemEval-2022 Task 8: Siamese Architecture for Modeling Multilingual News Similarity. SemEval@NAACL 2022: 1145-1150 - [c204]Varsha Reddy, Harika Abburi, Niyati Chhaya, Tamara Mitrovska, Vasudeva Varma:
'You Are Big, S/he Is Small' Detecting Body Shaming in Online User Content. SocInfo 2022: 389-397 - [c203]Himanshu Maheshwari, Vasudeva Varma:
An Ensemble Approach to Detect Emotions at an Essay Level. WASSA@ACL 2022: 276-279 - [c202]Akshat Gahoi, Jayant Duneja, Anshul Padhi, Shivam Mangale, Saransh Rajput, Tanvi Kamble, Dipti Misra Sharma, Vasudeva Varma:
Gui at MixMT 2022 : English-Hinglish : An MT Approach for Translation of Code Mixed Data. WMT 2022: 1126-1130 - [c201]Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. WWW (Companion Volume) 2022: 171-175 - [i36]Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. CoRR abs/2202.00291 (2022) - [i35]Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. CoRR abs/2209.11252 (2022) - [i34]Akshat Gahoi, Jayant Duneja, Anshul Padhi, Shivam Mangale, Saransh Rajput, Tanvi Kamble, Dipti Misra Sharma, Vasudeva Varma:
Gui at MixMT 2022 : English-Hinglish: An MT approach for translation of code mixed data. CoRR abs/2210.12215 (2022) - 2021
- [j22]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Fine-Grained Multi-label Sexism Classification Using a Semi-Supervised Multi-level Neural Approach. Data Sci. Eng. 6(4): 359-379 (2021) - [j21]Pulkit Parikh, Harika Abburi, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Categorizing Sexism and Misogyny through Neural Approaches. ACM Trans. Web 15(4): 17:1-17:31 (2021) - [c200]Tathagata Raha, Sayar Ghosh Roy, Ujwal Narayan, Zubair Abid, Vasudeva Varma:
Task Adaptive Pretraining of Transformers for Hostility Detection. CONSTRAINT@AAAI 2021: 236-243 - [c199]Tanmay Sachan, Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma:
SCATE: shared cross attention transformer encoders for multimodal fake news detection. ASONAM 2021: 399-406 - [c198]Yash Agrawal, Vivek Anand, Manish Gupta, S. Arunachalam, Vasudeva Varma:
Goal-Directed Extractive Summarization of Financial Reports. CIKM 2021: 2817-2821 - [c197]Swayatta Daw, Shivprasad Sagare, Tushar Abhishek, Vikram Pudi, Vasudeva Varma:
Cross-lingual Alignment of Knowledge Graph Triples with Sentences. ICON 2021: 629-637 - [c196]Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma:
T3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter. PAKDD (1) 2021: 686-700 - [c195]Ramkishore Saravanan, Nikhil Pinnaparaju, Vasudeva Varma:
Addressing Issues in Training Neural Extractive Summarisation Models. PReMI 2021: 280-288 - [c194]Tathagata Raha, Ishan Sanjeev Upadhyay, Radhika Mamidi, Vasudeva Varma:
IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining. SemEval@ACL/IJCNLP 2021: 1221-1225 - [c193]Harika Abburi, Shradha Sehgal, Himanshu Maheshwari, Vasudeva Varma:
Knowledge-based Neural Framework for Sexism Detection and Classification. IberLEF@SEPLN 2021: 402-414 - [c192]Yash Agrawal, Vivek Anand, S. Arunachalam, Vasudeva Varma:
Hierarchical Model for Goal Guided Summarization of Annual Financial Reports. WWW (Companion Volume) 2021: 247-254 - [i33]Sayar Ghosh Roy, Ujwal Narayan, Tathagata Raha, Zubair Abid, Vasudeva Varma:
Leveraging Multilingual Transformers for Hate Speech Detection. CoRR abs/2101.03207 (2021) - [i32]Tathagata Raha, Sayar Ghosh Roy, Ujwal Narayan, Zubair Abid, Vasudeva Varma:
Task Adaptive Pretraining of Transformers for Hostility Detection. CoRR abs/2101.03382 (2021) - [i31]Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma:
Summaformers @ LaySumm 20, LongSumm 20. CoRR abs/2101.03553 (2021) - [i30]Tathagata Raha, Vijayasaradhi Indurthi, Aayush Upadhyaya, Jeevesh Kataria, Pramud Bommakanti, Vikram Keswani, Vasudeva Varma:
Identifying COVID-19 Fake News in Social Media. CoRR abs/2101.11954 (2021) - [i29]Sachin Pawar, Ravina More, Girish K. Palshikar, Pushpak Bhattacharyya, Vasudeva Varma:
Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text. CoRR abs/2103.06078 (2021) - [i28]Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma:
Transformer Models for Text Coherence Assessment. CoRR abs/2109.02176 (2021) - 2020
- [j20]Nikhil Pattisapu, Vivek Anand, Sangameshwar Patil, Girish Keshav Palshikar, Vasudeva Varma:
Distant supervision for medical concept normalization. J. Biomed. Informatics 109: 103522 (2020) - [c191]Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma:
Adapting Language Models for Non-Parallel Author-Stylized Rewriting. AAAI 2020: 9008-9015 - [c190]Swapnil Hingmire, Nitin Ramrakhiyani, Avinash Kumar Singh, Sangameshwar Patil, Girish Keshav Palshikar, Pushpak Bhattacharyya, Vasudeva Varma:
Extracting Message Sequence Charts from Hindi Narrative Text. NUSE@ACL 2020: 87-96 - [c189]Manish Gupta, Vasudeva Varma, Sonam Damani, Kedhar Nath Narahari:
Compression of Deep Learning Models for NLP. CIKM 2020: 3507-3508 - [c188]Nikhil Pinnaparaju, Vijayasaradhi Indurthi, Vasudeva Varma:
Identifying Fake News Spreaders in Social Media. CLEF (Working Notes) 2020 - [c187]Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Gupta, Vasudeva Varma:
Predicting Clickbait Strength in Online Social Media. COLING 2020: 4835-4846 - [c186]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Semi-supervised Multi-task Learning for Multi-label Fine-grained Sexism Classification. COLING 2020: 5810-5820 - [c185]Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma:
Summaformers @ LaySumm 20, LongSumm 20. SDP@EMNLP 2020: 336-343 - [c184]Sayar Ghosh Roy, Ujwal Narayan, Tathagata Raha, Zubair Abid, Vasudeva Varma:
Leveraging Multilingual Transformers for Hate Speech Detection. FIRE (Working Notes) 2020: 128-138 - [c183]Kripabandhu Ghosh, Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya, Vasudeva Varma:
Retrieval of Prior Court Cases Using Witness Testimonies. JURIX 2020: 43-51 - [c182]Sravani Boinepelli, Manish Shrivastava, Vasudeva Varma:
SIS@IIITH at SemEval-2020 Task 8: An Overview of Simple Text Classification Methods for Meme Analysis. SemEval@COLING 2020: 1190-1194 - [c181]Nikhil Pattisapu, Nishant Prabhu, Smriti Bhati, Vasudeva Varma:
Leveraging Social Media for Medical Text Simplification. SIGIR 2020: 851-860 - [c180]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Fine-grained Multi-label Sexism Classification Using Semi-supervised Learning. WISE (2) 2020: 531-547 - [c179]Alok Debnath, Nikhil Pinnaparaju, Manish Shrivastava, Vasudeva Varma, Isabelle Augenstein:
Semantic Textual Similarity of Sentences with Emojis. WWW (Companion Volume) 2020: 426-430 - [i27]Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma:
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. CoRR abs/2001.05495 (2020)
2010 – 2019
- 2019
- [j19]Supratik Chakraborty, Vasudeva Varma:
Highlights of software R&D in India. Commun. ACM 62(11): 88-91 (2019) - [j18]Pattisapu Nikhil Priyatam, Manish Gupta, Ponnurangam Kumaraguru, Vasudeva Varma:
A distant supervision based approach to medical persona classification. J. Biomed. Informatics 94 (2019) - [c178]Bakhtiyar Syed, Vijayasaradhi Indurthi, Kulin Shah, Manish Gupta, Vasudeva Varma:
Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer. AffCon@AAAI 2019: 120-128 - [c177]Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Gupta, Manish Shrivastava, Vasudeva Varma:
Inductive Transfer Learning for Detection of Well-Formed Natural Language Search Queries. ECIR (2) 2019: 45-52 - [c176]Nitin Ramrakhiyani, Girish K. Palshikar, Vasudeva Varma:
A Simple Neural Approach to Spatial Role Labelling. ECIR (2) 2019: 102-108 - [c175]Litton J. Kurisinkel, Yue Zhang, Vasudeva Varma:
Domain Adaptive Neural Sentence Compression by Tree Cutting. ECIR (1) 2019: 475-488 - [c174]Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Multi-label Categorization of Accounts of Sexism using a Neural Framework. EMNLP/IJCNLP (1) 2019: 1642-1652 - [c173]Girish Keshav Palshikar, Nitin Ramrakhiyani, Sangameshwar Patil, Sachin Pawar, Swapnil Hingmire, Vasudeva Varma, Pushpak Bhattacharyya:
Extraction of Message Sequence Charts from Software Use-Case Descriptions. NAACL-HLT (2) 2019: 130-137 - [c172]Nikhil Pattisapu, Sangameshwar Patil, Girish K. Palshikar, Vasudeva Varma:
Medical Concept Normalization by Encoding Target Knowledge. ML4H@NeurIPS 2019: 246-259 - [c171]Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Nikhil Chakravartula, Manish Gupta, Vasudeva Varma:
FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter. SemEval@NAACL-HLT 2019: 70-74 - [c170]Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Manish Gupta, Vasudeva Varma:
Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings. SemEval@NAACL-HLT 2019: 611-616 - [c169]Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Shrivastava, Manish Gupta, Vasudeva Varma:
Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums. SemEval@NAACL-HLT 2019: 1160-1164 - [c168]Bakhtiyar Syed, Vijayasaradhi Indurthi, Balaji Vasan Srinivasan, Vasudeva Varma:
Helium @ CL-SciSumm-19 : Transfer learning for effective scientific research comprehension. BIRNDL@SIGIR 2019: 214-223 - [c167]Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
clstk: The Cross-Lingual Summarization Tool-Kit. WSDM 2019: 766-769 - [c166]Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma:
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. WWW 2019: 49-59 - [c165]Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, Vasudeva Varma:
MVAE: Multimodal Variational Autoencoder for Fake News Detection. WWW 2019: 2915-2921 - [i26]Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma:
Adapting Language Models for Non-Parallel Author-Stylized Rewriting. CoRR abs/1909.09962 (2019) - [i25]Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Multi-label Categorization of Accounts of Sexism using a Neural Framework. CoRR abs/1910.04602 (2019) - [i24]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. CoRR abs/1912.11688 (2019) - [i23]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Hybrid MemNet for Extractive Summarization. CoRR abs/1912.11701 (2019) - 2018
- [j17]Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar, Vasudeva Varma:
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction. BMC Bioinform. 19-S(8): 212:1-212:7 (2018) - [c164]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. AAAI 2018: 5473-5480 - [c163]Sangameshwar Patil, Sachin Pawar, Swapnil Hingmire, Girish Keshav Palshikar, Vasudeva Varma, Pushpak Bhattacharyya:
Identification of Alias Links among Participants in Narratives. ACL (2) 2018: 63-68 - [c162]Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. CIKM Workshops 2018 - [c161]Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta:
HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. CIKM 2018: 1619-1622 - [c160]Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu, Balaji Vasan Srinivasan, Vasudeva Varma:
Sci-Blogger: A Step Towards Automated Science Journalism. CIKM 2018: 1787-1790 - [c159]Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta:
Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation. CIKM 2018: 1855-1858 - [c158]Yash Kumar Lal, Dhruv Khattar, Vaibhav Kumar, Abhimanshu Mishra, Vasudeva Varma:
Check It Out : Politics and Neural Networks. CLEF (Working Notes) 2018 - [c157]Vijayasaradhi Indurthi, Subba Reddy Oota, Manish Gupta, Vasudeva Varma:
Believe it or not!: identifying bizarre news in online news media. COMAD/CODS 2018: 257-264 - [c156]Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
Translation Quality Estimation for Indian Languages. EAMT 2018: 179-188 - [c155]Raksha Sanjay Jalan, Manish Gupta, Vasudeva Varma:
Medical Forum Question Classification Using Deep Learning. ECIR 2018: 45-58 - [c154]Dhruv Khattar, Vaibhav Kumar, Manish Gupta, Vasudeva Varma:
Neural Content-Collaborative Filtering for News Recommendation. NewsIR@ECIR 2018: 45-50 - [c153]Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar:
Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. ECIR 2018: 59-71 - [c152]Pinkesh Badjatiya, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
Attention-Based Neural Text Segmentation. ECIR 2018: 180-193 - [c151]Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar:
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. ECIR 2018: 556-562 - [c150]Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu, Balaji Vasan Srinivasan, Vasudeva Varma:
When science journalism meets artificial intelligence : An interactive demonstration. EMNLP (Demonstration) 2018: 163-168 - [c149]Lalit Mohan Sanagavarapu, Sourav Sarangi, Y. Raghu Reddy, Vasudeva Varma:
Fine Grained Approach for Domain Specific Seed URL Extraction. HICSS 2018: 1-8 - [c148]Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
A Workbench for Rapid Generation of Cross-Lingual Summaries. LREC 2018 - [c147]Priya Radhakrishnan, Partha P. Talukdar, Vasudeva Varma:
ELDEN: Improved Entity Linking Using Densified Knowledge Graphs. NAACL-HLT 2018: 1844-1853 - [c146]Pruthwik Mishra, Litton J. Kurisinkel, Dipti Misra Sharma, Vasudeva Varma:
EquGener: A Reasoning Network for Word Problem Solving by Generating Arithmetic Equations. PACLIC 2018 - [c145]Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction. PAKDD (3) 2018: 231-243 - [c144]Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma:
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. SIGIR 2018: 1225-1228 - [e2]Y. Raghu Reddy, Vasudeva Varma, Jane Cleland-Huang, Umesh Bellur, Shubashsis Sengupta, Naveen Sharma, Ramesh Loganathan, Richa Sharma, Santonu Sarkar:
Proceedings of the 11th Innovations in Software Engineering Conference, ISEC 2018, Hyderabad, India, February 09 - 11, 2018. ACM 2018 [contents] - [i22]Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar:
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets. CoRR abs/1802.05121 (2018) - [i21]Shashank Gupta, Manish Gupta, Vasudeva Varma, Sachin Pawar, Nitin Ramrakhiyani, Girish K. Palshikar:
Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets. CoRR abs/1802.05130 (2018) - [i20]Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar, Yash Kumar Lal, Abhimanshu Mishra, Manish Shrivastava, Vasudeva Varma:
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection. CoRR abs/1808.00957 (2018) - [i19]Pinkesh Badjatiya, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
Attention-based Neural Text Segmentation. CoRR abs/1808.09935 (2018) - 2017
- [j16]Priya Radhakrishnan, Ganesh Jawahar, Manish Gupta, Vasudeva Varma:
SNEIT: Salient Named Entity Identification in Tweets. Computación y Sistemas 21(4) (2017) - [j15]Naveen Kulkarni, Vasudeva Varma:
Perils of opportunistically reusing software module. Softw. Pract. Exp. 47(7): 971-984 (2017) - [j14]Naveen Kulkarni, Vasudeva Varma:
Supporting comprehension of unfamiliar programs by modeling cues. Softw. Qual. J. 25(1): 307-340 (2017) - [c143]Ganesh J, Manish Gupta, Vasudeva Varma:
Interpretation of Semantic Tweet Representations. ASONAM 2017: 95-102 - [c142]Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Simultaneous Inference of User Representations and Trust. ASONAM 2017: 175-178 - [c141]Pattisapu Nikhil Priyatam, Manish Gupta, Ponnurangam Kumaraguru, Vasudeva Varma:
Medical Persona Classification in Social Media. ASONAM 2017: 377-384 - [c140]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Hybrid MemNet for Extractive Summarization. CIKM 2017: 2303-2306 - [c139]Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Neural Architecture for News Recommendation. CLEF (Working Notes) 2017 - [c138]Pulkit Goel, Kumar Rishabh, Vasudeva Varma:
An Alternate Load Distribution Scheme in DHTs. CloudCom 2017: 218-222 - [c137]Ganesh J, Manish Gupta, Vasudeva Varma:
Improving Tweet Representations Using Temporal and User Context. ECIR 2017: 575-581 - [c136]Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma:
Leveraging Moderate User Data for News Recommendation. ICDM Workshops 2017: 757-760 - [c135]Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma:
Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. ICDM Workshops 2017: 761-764 - [c134]Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
User Profiling Based Deep Neural Network for Temporal News Recommendation. ICDM Workshops 2017: 765-772 - [c133]Vasudeva Varma:
Keynote Lecture 3: Towards Abstractive Summarization. ICON 2017: 417 - [c132]Raghuram Vadapalli, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
SSAS: Semantic Similarity for Abstractive Summarization. IJCNLP(2) 2017: 198-203 - [c131]Litton J. Kurisinkel, Yue Zhang, Vasudeva Varma:
Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization. IJCNLP(1) 2017: 812-821 - [c130]Shashank Gupta, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma, Umang Gupta:
Enhancing Categorization of Computer Science Research Papers using Knowledge Bases. KG4IR@SIGIR 2017: 38-42 - [c129]Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Learning for Hate Speech Detection in Tweets. WWW (Companion Volume) 2017: 759-760 - [c128]Shashank Gupta, Vasudeva Varma:
Scientific Article Recommendation by using Distributed Representations of Text and Graph. WWW (Companion Volume) 2017: 1267-1268 - [i18]Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya, Nitin Ramrakhiyani, Shashank Gupta, Vasudeva Varma:
TCS Research at TAC 2017: Joint Extraction of Entities and Relations from Drug Labels using an Ensemble of Neural Networks. TAC 2017 - [i17]Ganesh J, Manish Gupta, Vasudeva Varma:
Interpretation of Semantic Tweet Representations. CoRR abs/1704.00898 (2017) - [i16]Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Learning for Hate Speech Detection in Tweets. CoRR abs/1706.00188 (2017) - [i15]Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Simultaneous Inference of User Representations and Trust. CoRR abs/1706.00923 (2017) - [i14]Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar, Vasudeva Varma:
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction. CoRR abs/1709.01687 (2017) - 2016
- [j13]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
A graph-based unsupervised N-gram filtration technique for automatic keyphrase extraction. Int. J. Data Min. Model. Manag. 8(2): 124-143 (2016) - [j12]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
Unsupervised deep semantic and logical analysis for identification of solution posts from community answers. Int. J. Inf. Decis. Sci. 8(2): 153-178 (2016) - [c127]Aditya Joshi, Ameya Prabhu, Manish Shrivastava, Vasudeva Varma:
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text. COLING 2016: 2482-2491 - [c126]Raksha Sanjay Jalan, Pattisapu Nikhil Priyatam, Vasudeva Varma:
Consumer Health Information System. FIRE (Working Notes) 2016: 217-220 - [c125]Ayushi Dalmia, Manish Gupta, Vasudeva Varma:
Query-Based Evolutionary Graph Cuboid Outlier Detection. ICDM Workshops 2016: 85-92 - [c124]Satarupa Guha, Tanmoy Chakraborty, Samik Datta, Mohit Kumar, Vasudeva Varma:
TweetGrep: Weakly Supervised Joint Retrieval and Sentiment Analysis of Topical Tweets. ICWSM 2016: 161-170 - [c123]Litton J. Kurisinkel, Pruthwik Mishra, Vigneshwaran Muralidaran, Vasudeva Varma, Dipti Misra Sharma:
Non-decreasing Sub-modular Function for Comprehensible Summarization. SRW@HLT-NAACL 2016: 94-101 - [c122]Ganesh J, Manish Gupta, Vasudeva Varma:
Doc2Sent2Vec: A Novel Two-Phase Approach for Learning Document Representation. SIGIR 2016: 809-812 - [c121]Ganesh J, Soumyajit Ganguly, Manish Gupta, Vasudeva Varma, Vikram Pudi:
Author2Vec: Learning Author Representations by Combining Content and Link Information. WWW (Companion Volume) 2016: 49-50 - [i13]Ameya Prabhu, Aditya Joshi, Manish Shrivastava, Vasudeva Varma:
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text. CoRR abs/1611.00472 (2016) - [i12]Ganesh J, Manish Gupta, Vasudeva Varma:
Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks. CoRR abs/1611.04887 (2016) - [i11]Ganesh J, Manish Gupta, Vasudeva Varma:
Improving Tweet Representations using Temporal and User Context. CoRR abs/1612.06062 (2016) - 2015
- [j11]Kula Kekeba Tune, Vasudeva Varma:
Building CLIA for Resource-Scarce African Languages: A Case Study on Oromo - English CLIR. Int. J. Inf. Retr. Res. 5(1): 48-67 (2015) - [j10]Litton J. Kurisinkel, Vigneshwaran Muralidaran, Vasudeva Varma, Dipti Misra Sharma:
Readable and Coherent MultiDocument Summarization. Res. Comput. Sci. 90: 295-311 (2015) - [j9]Pattisapu Nikhil Priyatam, Ajay Dubey, Krish Perumal, Dharmesh Kakadia, Vasudeva Varma:
Measuring Diversity of a Domain-Specific Crawl. Res. Comput. Sci. 90: 313-321 (2015) - [c120]Kirti Garg, Ashish Sureka, Vasudeva Varma:
A Case Study on Teaching Software Engineering Concepts using a Case-Based Learning Environment. QuASoQ/WAWSE/CMCE@APSEC 2015: 71-78 - [c119]Ayushi Dalmia, Manish Gupta, Vasudeva Varma:
Query-based Graph Cuboid Outlier Detection. ASONAM 2015: 705-712 - [c118]Lakshminarayan Srinivasan, Vasudeva Varma:
Adaptive Load-Balancing for Consistent Hashing in Heterogeneous Clusters. CCGRID 2015: 1135-1138 - [c117]Piyush Bansal, Romil Bansal, Vasudeva Varma:
Towards Deep Semantic Analysis of Hashtags. ECIR 2015: 453-464 - [c116]Kirti Garg, Vasudeva Varma:
Systemic Requirements of a Software Engineering Learning Environment. ISEC 2015: 147-155 - [c115]Anuhya Vajapeyajula, Priya Radhakrishnan, Vasudeva Varma:
Survey of Social Commerce Research. MIKE 2015: 493-503 - [c114]Ayushi Dalmia, Manish Gupta, Vasudeva Varma:
IIIT-H at SemEval 2015: Twitter Sentiment Analysis - The Good, the Bad and the Neutral! SemEval@NAACL-HLT 2015: 520-526 - [c113]Satarupa Guha, Aditya Joshi, Vasudeva Varma:
Sentibase: Sentiment Analysis in Twitter on a Budget. SemEval@NAACL-HLT 2015: 590-594 - [c112]Satarupa Guha, Aditya Joshi, Vasudeva Varma:
SIEL: Aspect Based Sentiment Analysis in Reviews. SemEval@NAACL-HLT 2015: 759-766 - [c111]Piyush Bansal, Somay Jain, Vasudeva Varma:
Towards Semantic Retrieval of Hashtags in Microblogs. WWW (Companion Volume) 2015: 7-8 - [i10]Piyush Bansal, Romil Bansal, Vasudeva Varma:
Towards Deep Semantic Analysis Of Hashtags. CoRR abs/1501.03210 (2015) - 2014
- [j8]Kushal S. Dave, Vasudeva Varma:
Computational Advertising: Techniques for Targeting Relevant Ads. Found. Trends Inf. Retr. 8(4-5): 263-418 (2014) - [c110]Sandeep Panem, Manish Gupta, Vasudeva Varma:
Structured Information Extraction from Natural Disaster Events on Twitter. Web-KRM@CIKM 2014: 1-8 - [c109]Romil Bansal, Sandeep Panem, Manish Gupta, Vasudeva Varma:
EDIUM: Improving Entity Disambiguation via User Modeling. ECIR 2014: 418-423 - [c108]Sandeep Panem, Romil Bansal, Manish Gupta, Vasudeva Varma:
Entity Tracking in Real-Time Using Sub-topic Detection on Twitter. ECIR 2014: 528-533 - [c107]Lakshminarayan Srinivasan, Vasudeva Varma:
Cost Based Approach to Block Placement for Distributed File Systems. FiCloud 2014: 132-138 - [c106]Devadath V. V, Litton J. Kurisinkel, Dipti Misra Sharma, Vasudeva Varma:
A Sandhi Splitter for Malayalam. ICON 2014: 156-161 - [c105]Naveen Kulkarni, Vasudeva Varma:
Supporting comprehension of unfamiliar programs by modeling an expert's perception. RAISE 2014: 19-24 - [c104]Ajay Dubey, Parth Gupta, Vasudeva Varma, Paolo Rosso:
Enrichment of Bilingual Dictionary through News Stream Data. LREC 2014: 3761-3765 - [c103]Romil Bansal, Sandeep Panem, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma:
Linking Entities in #Microposts. #MSM 2014: 71-72 - [c102]Priya Radhakrishnan, Romil Bansal, Manish Gupta, Vasudeva Varma:
Exploiting Wikipedia inlinks for linking entities in queries. ERD@SIGIR 2014: 101-104 - [c101]Priya Radhakrishnan, Manish Gupta, Vasudeva Varma:
Modeling the evolution of product entities. SIGIR 2014: 923-926 - [c100]Manish Gupta, Piyush Bansal, Vasudeva Varma:
CharBoxes: a system for automatic discovery of character infoboxes from books. SIGIR 2014: 1255-1256 - [c99]K. Santosh, Aditya Joshi, Manish Gupta, Vasudeva Varma:
Exploiting Wikipedia Categorization for Predicting Age and Gender of Blog Authors. UMAP Workshops 2014 - [c98]Pattisapu Nikhil Priyatam, Ajay Dubey, Krish Perumal, Sai Praneeth, Dharmesh Kakadia, Vasudeva Varma:
Seed selection for domain-specific search. WWW (Companion Volume) 2014: 923-928 - [i9]Radheshyam Nanduri, Dharmesh Kakadia, Vasudeva Varma:
Energy and SLA aware VM Scheduling. CoRR abs/1411.6114 (2014) - 2013
- [j7]Ajay Dubey, Vasudeva Varma:
Generación de diccionarios bilingües usando las propiedades estructurales. Computación y Sistemas 17(2) (2013) - [j6]Pattisapu Nikhil Priyatam, Srinivasan Iyengar, Krish Perumal, Vasudeva Varma:
Don't Use a Lot When Little Will Do: Genre Identification Using URLs. Res. Comput. Sci. 70: 233-243 (2013) - [c97]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
A Knowledge Induced Graph-Theoretical Model for Extract and Abstract Single Document Summarization. CICLing (2) 2013: 408-423 - [c96]Priya Radhakrishnan, Vasudeva Varma:
Extracting semantic knowledge from Wikipedia category names. AKBC@CIKM 2013: 109-114 - [c95]Aditya Pavan, Aditya Mogadala, Vasudeva Varma:
Author Profiling using LDA and Maximum Entropy Notebook for PAN at CLEF 2013. CLEF (Working Notes) 2013 - [c94]K. Santosh, Romil Bansal, Mihir Shekhar, Vasudeva Varma:
Author Profiling: Predicting Age and Gender from Blogs Notebook for PAN at CLEF 2013. CLEF (Working Notes) 2013 - [c93]Dharmesh Kakadia, Vasudeva Varma:
Network Virtualization Platform for Hybrid Cloud. CloudCom (2) 2013: 69-74 - [c92]Ankit Patil, Kushal S. Dave, Vasudeva Varma:
Leveraging Latent Concepts for Retrieving Relevant Ads for Short Text. ECIR 2013: 780-783 - [c91]Arpit Sood, Thanvir P. Mohamed, Vasudeva Varma:
Topic-Focused Summarization of Chat Conversations. ECIR 2013: 800-803 - [c90]Vinay Pande, Tanmoy Mukherjee, Vasudeva Varma:
Summarizing Answers for Community Question Answer Services. GSCL 2013: 151-161 - [c89]Sarvesh Ranade, Jayant Gupta, Vasudeva Varma, Radhika Mamidi:
Online debate summarization using topic directed sentiment analysis. WISDOM 2013: 7:1-7:6 - [c88]Dharmesh Kakadia, Nandish Kopri, Vasudeva Varma:
Network-aware virtual machine consolidation for large data centers. NDM@SC 2013: 6:1-6:8 - [c87]Harshit Jain, Aditya Mogadala, Vasudeva Varma:
sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data. SemEval@NAACL-HLT 2013: 525-529 - [c86]Vinay Pande, Tanmoy Mukherjee, Vasudeva Varma:
Domain Specific Facts Extraction Using Weakly Supervised Active Learning Approach. Web Intelligence 2013: 246-251 - [c85]Kushal S. Dave, Vishal Vaingankar, Sumanth Kolar, Vasudeva Varma:
Timespent based models for predicting user retention. WWW 2013: 331-342 - 2012
- [j5]Nitesh Maheshwari, Radheshyam Nanduri, Vasudeva Varma:
Dynamic energy efficient data placement and cluster reconfiguration algorithm for MapReduce framework. Future Gener. Comput. Syst. 28(1): 119-127 (2012) - [c84]Vundavalli Srinivasarao, Vasudeva Varma:
Web Image Annotation Using an Effective Term Weighting. CICLing (2) 2012: 286-296 - [c83]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
Using Graph Based Mapping of Co-occurring Words and Closeness Centrality Score for Summarization Evaluation. CICLing (2) 2012: 353-365 - [c82]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
Using Wikipedia Anchor Text and Weighted Clustering Coefficient to Enhance the Traditional Multi-document Summarization. CICLing (2) 2012: 390-401 - [c81]Aditya Mogadala, Vasudeva Varma:
Twitter user behavior understanding with mood transition prediction. DUBMMSM 2012: 31-34 - [c80]Kushal Shailesh Dave, Vasudeva Varma:
Identifying Microblogs for Targeted Contextual Advertising. ICWSM 2012 - [c79]Akshat Bakliwal, Piyush Arora, Vasudeva Varma:
Hindi Subjective Lexicon: A Lexical Resource for Hindi Adjective Polarity Classification. LREC 2012: 1189-1196 - [c78]Aditya Mogadala, Vasudeva Varma:
Language Independent Sentence-Level Subjectivity Analysis with Feature Selection. PACLIC 2012: 171-180 - [c77]Akshat Bakliwal, Piyush Arora, Senthil Madhappan, Nikhil Kapre, Mukesh Singh, Vasudeva Varma:
Mining Sentiments from Tweets. WASSA@ACL 2012: 11-18 - [e1]Sanjeev K. Aggarwal, T. V. Prabhakar, Vasudeva Varma, Srinivas Padmanabhuni:
Proceeding of the 5th Annual India Software Engineering Conference, ISEC 2012, Kanpur, India, February 22-25, 2012. ACM 2012, ISBN 978-1-4503-1142-7 [contents] - [i8]Vasudeva Varma, Bhaskar Ghosh, Mohan Soundararajan, Deepti Aggarwal, Priya Radhakrishnan:
IIIT Hyderabad at TAC 2012. TAC 2012 - 2011
- [j4]Kiran Sarvabhotla, Prasad Pingali, Vasudeva Varma:
Sentiment classification: a lexical similarity based approach for extracting subjectivity in documents. Inf. Retr. 14(3): 337-353 (2011) - [c76]Rohit G. Bharadwaj, Vasudeva Varma:
Language-Independent Context Aware Query Translation using Wikipedia. BUCC@ACL 2011: 145-150 - [c75]Vundavalli Srinivasarao, Prasad Pingali, Vasudeva Varma:
Effective Term Weighting in ALT Text Prediction for Web Image Retrieval. APWeb 2011: 237-244 - [c74]G. S. K. Santosh, N. Kiran Kumar, Vasudeva Varma:
Ranking Multilingual Documents Using Minimal Language Dependent Resources. CICLing (2) 2011: 212-220 - [c73]Manisha Verma, Vasudeva Varma:
Patent search using IPC classification vectors. PaIR@CIKM 2011: 9-12 - [c72]Prashant Ullegaddi, Vasudeva Varma:
Learning to rank categories for web queries. CIKM 2011: 2065-2068 - [c71]N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma:
A Language-Independent Approach to Identify the Named Entities in Under-Resourced Languages and Clustering Multilingual Documents. CLEF 2011: 74-82 - [c70]Manisha Verma, Vasudeva Varma:
Exploring Keyphrase Extraction and IPC Classification Vectors for Prior Art Search. CLEF (Notebook Papers/Labs/Workshop) 2011 - [c69]Radheshyam Nanduri, Nitesh Maheshwari, A. Reddyraja, Vasudeva Varma:
Job Aware Scheduling Algorithm for MapReduce Framework. CloudCom 2011: 724-729 - [c68]Rambhoopal Kothwal, Vasudeva Varma:
Cross Lingual Text Reuse Detection Based on Keyphrase Extraction and Similarity Measures. FIRE 2011: 71-78 - [c67]Aditya Mogadala, Rambhoopal Kothwal, Vasudeva Varma:
Language Modeling Approach to Retrieval for SMS and FAQ Matching. FIRE 2011: 119-130 - [c66]Manisha Verma, Vasudeva Varma:
Applying key phrase extraction to aid invalidity search. ICAIL 2011: 249-255 - [c65]Kushal Shailesh Dave, Rushi Bhatt, Vasudeva Varma:
Modelling Action Cascades in Social Networks. ICWSM 2011 - [c64]Sudheer Kovelamudi, Sethu Ramalingam, Arpit Sood, Vasudeva Varma:
Domain Independent Model for Product Attribute Extraction from User Reviews using Wikipedia. IJCNLP 2011: 1408-1412 - [c63]N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma:
Multilingual Document Clustering Using Wikipedia as External Knowledge. IRFC 2011: 108-117 - [c62]N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma:
Effectively Mining Wikipedia for Clustering Multilingual Documents. NLDB 2011: 254-257 - [c61]Sudip Datta, Vasudeva Varma:
Tossing coins to trim long queries. SIGIR 2011: 1255-1256 - [c60]Rohit G. Bharadwaj, Vasudeva Varma:
Language independent identification of parallel sentences using Wikipedia. WWW (Companion Volume) 2011: 11-12 - [i7]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
Using Unsupervised System with least linguistic features for TAC-AESOP Task. TAC 2011 - [i6]George Giannakopoulos, Mahmoud El-Haj, Benoît Favre, Marina Litvak, Josef Steinberger, Vasudeva Varma:
TAC2011 MultiLing Pilot Overview. TAC 2011 - [i5]Vasudeva Varma, Sudheer Kovelamudi, Arpit Sood, Jayant Gupta, Harshit Jain, Pattisapu Nikhil Priyatam, Aditya Mogadala, Srikanth Reddy Vaddepally:
IIIT Hyderabad in Summarization and Knowledge Base Population at TAC 2011. TAC 2011 - 2010
- [j3]Kranthi Reddy B., Karuna Kumar, Sai Krishna, Prasad Pingali, Vasudeva Varma:
Linking Named Entities to a Structured Knowledge Base. Int. J. Comput. Linguistics Appl. 1(1-2): 121-136 (2010) - [j2]Kiran Sarvabhotla, Prasad Pingali, Vasudeva Varma:
Supervised Learning Approaches for Rating Customer Reviews. J. Intell. Syst. 19(1): 79-94 (2010) - [c59]Amit Sangroya, Kirti Garg, Vasudeva Varma:
SAGE: An Approach to Evaluate the Impact of SOA Governance Policies. AINA Workshops 2010: 539-544 - [c58]Gokavarapu Srinivas, Niket Tandon, Vasudeva Varma:
A weighted tag similarity measure based on a collaborative weight model. SMUC@CIKM 2010: 79-86 - [c57]Kushal S. Dave, Vasudeva Varma:
Pattern based keyword extraction for contextual advertising. CIKM 2010: 1885-1888 - [c56]Nithin Kumar, Vasudeva Varma:
Generating Simulated Relevance Feedback: A Prognostic Search approach. COLING (Posters) 2010: 597-604 - [c55]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
Evaluating Information Coverage in Machine Generated Summary and Variable Length Documents. COMAD 2010: 163 - [c54]Niraj Kumar, Venkata Vinay Babu Vemula, Kannan Srinathan, Vasudeva Varma:
Exploiting N-gram Importance and Wikipedia based Additional Knowledge for Improvements in GAAC based Document Clustering. KDIR 2010: 182-187 - [c53]Nihar Sharma, Vasudeva Varma:
Query Processing for Enterprise Search with Wikipedia Link Structure. KDIR 2010: 243-248 - [c52]Amit Sangroya, Saurabh Kumar, Jaideep Dhok, Vasudeva Varma:
Towards Analyzing Data Security Risks in Cloud Computing Environments. ICISTM 2010: 255-265 - [c51]Jaideep Dhok, Nitesh Maheshwari, Vasudeva Varma:
Learning based opportunistic admission control algorithm for MapReduce as a service. ISEC 2010: 153-160 - [c50]Sree Harsha Yella, Vasudeva Varma, Kishore Prahallad:
Prominence based scoring of speech segments for automatic speech-to-speech summarization. INTERSPEECH 2010: 1297-1300 - [c49]Akshey Jawa, Sudip Datta, Sujeeth Nanda, Vishal Garg, Vasudeva Varma, Suresh Chande, Murali Krishna Punaganti Venkata:
SMEO: A Platform for Smart Classrooms with Enhanced Information Access and Operations Automation. NEW2AN 2010: 123-134 - [c48]Kushal S. Dave, Vasudeva Varma:
Learning the click-through rate for rare/new ads from similar ads. SIGIR 2010: 897-898 - [c47]Sree Harsha Yella, Vasudeva Varma, Kishore Prahallad:
Significance of anchor speaker segments for constructing extractive audio summaries of broadcast news. SLT 2010: 13-18 - [c46]Sai Krishna, Prasad Pingali, Vasudeva Varma:
An information retrieval approach to spelling suggestion. WWW 2010: 1135-1136 - [i4]Niraj Kumar, Kannan Srinathan, Vasudeva Varma:
An Effective Approach for AESOP and Guided Summarization Task. TAC 2010 - [i3]Vasudeva Varma, Praveen Bysani, Kranthi Reddy B., Vijay Bharath Reddy, Sudheer Kovelamudi, Srikanth Reddy Vaddepally, Radheshyam Nanduri, N. Kiran Kumar, Santhosh Gsk, Prasad Pingali:
IIIT Hyderabad in Guided Summarization and Knowledge Base Population. TAC 2010
2000 – 2009
- 2009
- [c45]Rahul Katragadda, Vasudeva Varma:
Query-Focused Summaries or Query-Biased Summaries? ACL/IJCNLP (2) 2009: 105-108 - [c44]Praneeth Shishtla, Surya Ganesh Veeravalli, Sethuramalingam Subramaniam, Vasudeva Varma:
A Language-Independent Transliteration Schema Using Character Aligned Models at NEWS 2009. NEWS@IJCNLP 2009: 40-43 - [c43]Chandan Kumar, Prasad Pingali, Vasudeva Varma:
Estimating Risk of Picking a Sentence for Document Summarization. CICLing 2009: 571-581 - [c42]Rohit G. Bharadwaj, Surya Ganesh, Vasudeva Varma:
A Naïve Approach for Monolingual Question Answering. CLEF (Working Notes) 2009 - [c41]Kirti Garg, Vasudeva Varma:
Case Studies as Assessment Tools in Software Engineering Classrooms. CSEE&T 2009: 8-11 - [c40]Gil Taran, Vasudeva Varma, Kirti Garg:
Multimedia Case Studies in Software Engineering: A Look at MDM CAP: A Case Authoring Platform for Education and Training. CSEE&T 2009: 296-297 - [c39]Vasudeva Varma, Jocelyn Armarego, Pankaj Jalote:
Foreword. CSEE&T 2009 - [c38]Santosh Raju, Prasad Pingali, Vasudeva Varma:
An Unsupervised Approach to Product Attribute Extraction. ECIR 2009: 796-800 - [c37]V. B. Sowmya, Vasudeva Varma:
Transliteration Based Text Input Methods for Telugu. ICCPOL 2009: 122-132 - [c36]Vasudeva Varma, Prasad Pingali, Nihar Sharma:
Role Based Personalization in Enterprise Search. IICAI 2009: 1415-1428 - [c35]Kiran Sarvabhotla, Kranthi Reddy B., Vasudeva Varma:
Classification based approach for Summarizing Opinions in Blog Posts. IICAI 2009: 1429-1437 - [c34]Santosh Raju, Praneeth Shishtla, Vasudeva Varma:
A Graph Clustering Approach to Product Attribute Extraction. IICAI 2009: 1438-1447 - [c33]Kirti Garg, Vasudeva Varma:
An effective learning environment for teaching problem solving in software architecture. ISEC 2009: 139-140 - [c32]Alain Plantec, Vincent Ribaud, Vasudeva Varma:
Building a semantic virtual museum: from Wiki to semantic Wiki using named entity recognition. OOPSLA Companion 2009: 769-770 - [c31]Surya Ganesh Veeravalli, Vasudeva Varma:
Passage Retrieval Using Answer Type Profiles in Question Answering. PACLIC 2009: 559-568 - [c30]Surya Ganesh, Vasudeva Varma:
Exploiting the Use of Prior Probabilities for Passage Retrieval in Question Answering. RANLP 2009: 99-102 - [c29]Surya Ganesh, Vasudeva Varma:
Exploiting Structure and Content of Wikipedia for Query Expansion in the Context. RANLP 2009: 103-106 - [c28]Chandan Kumar, Prasad Pingali, Vasudeva Varma:
A light-weight summarizer based on language model with relative entropy. SAC 2009: 1752-1753 - [c27]Sethuramalingam Subramaniam, Anil Kumar Singh, Pradeep Dasigi, Vasudeva Varma:
Experiments in CLIR using fuzzy string search based on surface similarity. SIGIR 2009: 682-683 - [c26]Prashant Ullegaddi, Sudip Datta, Vinay Pande, Kushal S. Dave, Vasudeva Varma:
IIIT Hyderabad at Million Query Track TREC 2009. TREC 2009 - [i2]Vasudeva Varma, Vijay Bharath Reddy, Sudheer Kovelamudi, Praveen Bysani, Santhosh Gsk, N. Kiran Kumar, Kranthi Reddy B., Karuna Kumar, Nitin Maganti:
IIIT Hyderabad at TAC 2009. TAC 2009 - 2008
- [c25]Kirti Garg, Vasudeva Varma:
Software Engineering Education in India: Issues and Challenges. CSEE&T 2008: 110-117 - [c24]Chandan Kumar, Prasad Pingali, Vasudeva Varma:
Generating Personalized Summaries Using Publicly Available Web Documents. Web Intelligence/IAT Workshops 2008: 103-106 - [c23]Prasad Pingali, Surya Ganesh, Sree Harsha Yella, Vasudeva Varma:
Statistical Transliteration for Cross Language Information Retrieval using HMM alignment model and CRF. IJCNLP 2008: 42-47 - [c22]Praneeth Shishtla, Prasad Pingali, Vasudeva Varma:
A Character n-gram Based Approach for Improved Recall in Indian Language NER. IJCNLP 2008: 67-74 - [c21]Prasad Pingali, Vasudeva Varma:
Hindi and Telugu to English CLIR using Query Expansion. IJCNLP 2008: 68 - [c20]Praneeth Shishtla, Karthik Gali, Prasad Pingali, Vasudeva Varma:
Experiments in Telugu NER: A Conditional Random Field Approach. IJCNLP 2008: 105-110 - [c19]U. Rohini, Vamshi Ambati, Vasudeva Varma:
Statistical Machine Translation Models for Personalized Search. IJCNLP 2008: 521-528 - [c18]Kirti Garg, Vasudeva Varma:
People issues relating to software engineering education and training in India. ISEC 2008: 121-128 - [c17]Bhudeb Chakravarti, Vasudeva Varma:
Enabling reuse of citizen centric government processes through service oriented architecture. ISEC 2008: 135-136 - [i1]Vasudeva Varma, Prasad Pingali, Rahul Katragadda, Sai Krishna, Surya Ganesh, Kiran Sarvabhotla, Harish Garapati, Hareen Gopisetty, Vijay Bharath Reddy, Kranthi Reddy B., Praveen Bysani, Rohit G. Bharadwaj:
IIIT Hyderabad at TAC 2008. TAC 2008 - 2007
- [j1]Prasad Pingali, Vasudeva Varma:
Multi-lingual Indexing Support for CLIR using Language Modeling. IEEE Data Eng. Bull. 30(1): 70-85 (2007) - [c16]Prasad Pingali, Kula Kekeba Tune, Vasudeva Varma:
Improving Recall for Hindi, Telugu, Oromo to English CLIR. CLEF 2007: 103-110 - [c15]Prasad Pingali, Vasudeva Varma:
IIIT Hyderabad at CLEF 2007 - Adhoc Indian Language CLIR Task. CLEF (Working Notes) 2007 - [c14]Kula Kekeba Tune, Vasudeva Varma:
Oromo-English Information Retrieval Experiments at CLEF 2007. CLEF (Working Notes) 2007 - [c13]Kirti Garg, Vasudeva Varma:
A Study of the Effectiveness of Case Study Approach in Software Engineering Education. CSEE&T 2007: 309-316 - [c12]U. Rohini, Vasudeva Varma:
A Novel Approach for Re-Ranking of Search Results Using Collaborative Filtering. ICCTA 2007: 491-496 - [c11]Jagadeesh Jagarlamudi, Prasad Pingali, Vasudeva Varma:
Capturing Sentence Prior for Query-Based Multi-Document Summarization. RIAO 2007: 798-809 - [c10]Ranbeer Makin, Nikita Pandey, Prasad Pingali, Vasudeva Varma:
Approximate String Matching Techniques for Effective CLIR Among Indian Languages. WILF 2007: 430-437 - [p1]Vasudeva Varma:
Use of Ontologies for Organizational Knowledge Management and Knowledge Management Systems. Ontologies 2007: 21-47 - 2006
- [c9]Kirti Garg, Vasudeva Varma, K. N. Giridhar, Abhishek K. Mishra:
Security: Bridging the Academia-Industry Gap Using a Case Study. APSEC 2006: 485-492 - [c8]Prasad Pingali, Kula Kekeba Tune, Vasudeva Varma:
Hindi, Telugu, Oromo, English CLIR Evaluation. CLEF 2006: 35-42 - [c7]Prasad Pingali, Vasudeva Varma:
Hindi and Telugu to English Cross Language Information Retrieval at CLEF 2006. CLEF (Working Notes) 2006 - [c6]Kula Kekeba Tune, Vasudeva Varma:
Oromo-English Information Retrieval Experiments at CLEF 2006. CLEF (Working Notes) 2006 - [c5]Prasad Pingali, Jagadeesh Jagarlamudi, Vasudeva Varma:
WebKhoj: Indian language IR from multiple character encodings. WWW 2006: 801-809 - 2005
- [c4]J. Jagadeesh, Vasudeva Varma:
Single Document Summarization Using Natural Language Processing. IICAI 2005: 741-748 - [c3]Prasad Pingali, J. Jagadeesh, Vasudeva Varma, Bipin Indurkhya:
Exploring Creative Concepts in the Nearest Neighborhood using Lexical Ontologies. IICAI 2005: 2092-2100 - [c2]Vasudeva Varma, Kirti Garg:
Case Studies: The Potential Teaching Instruments for Software Engineering Education. QSIC 2005: 279-286 - 2002
- [c1]Vasudeva Varma:
Building Large Scale Ontology Networks. Language Engineering Conference 2002: 121
Coauthor Index
[c237] [c233] [c228] [c227] [c217] [i46] [i42] [i38] [i37] [c211] [c207] [c201] [i36] [i35] [j21] [c199] [c198] [c196] [i31] [i28] [c189] [c187] [c185] [i27] [j18] [c178] [c177] [c174] [c171] [c170] [c169] [c167] [c166] [c165] [i25] [i24] [i23] [c164] [c162] [c161] [c159] [c157] [c156] [c155] [c154] [c153] [c152] [c151] [c148] [c145] [i22] [i21] [i19] [j16] [c143] [c142] [c141] [c140] [c139] [c137] [c134] [c132] [c130] [c129] [i17] [i16] [i15] [c125] [c122] [c121] [i12] [i11] [c119] [c114] [c110] [c109] [c108] [c103] [c102] [c101] [c100] [c99]
Girish Keshav Palshikar
aka: Girish K. Palshikar
aka: Girish K. Palshikar
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