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Manish Gupta 0001

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affiliation: Microsoft India R&D, Hyderabad, India
affiliation (former): International Institute of Information Technology, Hyderabad, India
affiliation (PhD 2013): University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
affiliation (former): Yahoo! Bangalore

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Books and Theses

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2014
[b2]
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Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han:
Outlier Detection for Temporal Data. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00777-4
2013
[b1]
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Manish Gupta:
Outlier detection for information networks. University of Illinois Urbana-Champaign, USA, 2013

Journal Articles

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2023
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Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Manish Gupta, Puneet Agrawal:
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes. Data Min. Knowl. Discov. 37(6): 2306-2329 (2023)
2022
[j10]
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Manish Gupta, Puneet Agrawal:
Compression of Deep Learning Models for Text: A Survey. ACM Trans. Knowl. Discov. Data 16(4): 61:1-61:55 (2022)
2021
[j9]
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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)
2019
[j8]
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Pattisapu Nikhil Priyatam, Manish Gupta, Ponnurangam Kumaraguru, Vasudeva Varma:
A distant supervision based approach to medical persona classification. J. Biomed. Informatics 94 (2019)
2018
[j7]
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Ankan Mullick, Pawan Goyal, Niloy Ganguly, Manish Gupta:
Harnessing Twitter for Answering Opinion List Queries. IEEE Trans. Comput. Soc. Syst. 5(4): 1083-1095 (2018)
2017
[j6]
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Priya Radhakrishnan, Ganesh Jawahar, Manish Gupta, Vasudeva Varma:
SNEIT: Salient Named Entity Identification in Tweets. Computación y Sistemas 21(4) (2017)
2015
[j5]
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Manish Gupta, Michael Bendersky:
Information Retrieval with Verbose Queries. Found. Trends Inf. Retr. 9(3-4): 91-208 (2015)
2014
[j4]
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Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han:
Outlier Detection for Temporal Data: A Survey. IEEE Trans. Knowl. Data Eng. 26(9): 2250-2267 (2014)
[j3]
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Yizhou Sun, Jie Tang, Jiawei Han, Cheng Chen, Manish Gupta:
Co-Evolution of Multi-Typed Objects in Dynamic Star Networks. IEEE Trans. Knowl. Data Eng. 26(12): 2942-2955 (2014)
2011
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Manish Gupta, Jiawei Han:
Heterogeneous network-based trust analysis: a survey. SIGKDD Explor. 13(1): 54-71 (2011)
2010
[j1]
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Manish Gupta, Rui Li, Zhijun Yin, Jiawei Han:
Survey on social tagging techniques. SIGKDD Explor. 12(1): 58-72 (2010)

Conference and Workshop Papers

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2024
[c128]
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Prajwal Gatti, Kshitij Parikh, Dhriti Prasanna Paul, Manish Gupta, Anand Mishra:
Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions. AAAI 2024: 1869-1877
[c127]
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Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar:
DQAC: Detoxifying Query Auto-completion with Adapters. PAKDD (6) 2024: 108-120
[c126]
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Rahul Mehta, Bhavyajeet Singh, Vasudeva Varma, Manish Gupta:
CircuitVQA: A Visual Question Answering Dataset for Electrical Circuit Images. ECML/PKDD (1) 2024: 440-460
[c125]
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Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar:
DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion. SIGIR 2024: 608-618
[c124]
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Daivik Sojitra, Raghav Jain, Sriparna Saha, Adam Jatowt, Manish Gupta:
Timeline Summarization in the Era of LLMs. SIGIR 2024: 2657-2661
2023
[c123]
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Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju S. Bapi:
How does the brain process syntactic structure while listening? ACL (Findings) 2023: 6624-6647
[c122]
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Shrey Gupta, Pratyush Priyadarshi, Manish Gupta:
Hateful Comment Detection and Hate Target Type Prediction for Video Comments. CIKM 2023: 3923-3927
[c121]
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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
[c120]
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Sahil Manoj Bhatt, Sahaj Agarwal, Omkar Gurjar, Manish Gupta, Manish Shrivastava:
TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain. ECIR (1) 2023: 150-166
[c119]
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Manish Gupta, Meghana Joshi, Puneet Agrawal:
Deep Learning Methods for Query Auto Completion. ECIR (3) 2023: 341-348
[c118]
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Bishal Santra, Sakya Basak, Abhinandan De, Manish Gupta, Pawan Goyal:
Frugal Prompting for Dialog Models. EMNLP (Findings) 2023: 4383-4407
[c117]
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Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta:
On Robustness of Finetuned Transformer-based NLP Models. EMNLP (Findings) 2023: 7180-7195
[c116]
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Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi:
Neural Architecture of Speech. ICASSP 2023: 1-5
[c115]
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Abhirama Subramanyam Penamakuri, Manish Gupta, Mithun Das Gupta, Anand Mishra:
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering. IJCAI 2023: 1312-1321
[c114]
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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
[c113]
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Subba Reddy Oota, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Raju S. Bapi:
Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? INTERSPEECH 2023: 5167-5171
[c112]
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Subba Reddy Oota, Manish Gupta, Mariya Toneva:
Joint processing of linguistic properties in brains and language models. NeurIPS 2023
[c111]
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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
[c110]
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Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Minghsun Liu, Manish Gupta:
WSNet: Towards An Effective Method for Wound Image Segmentation. WACV 2023: 3233-3242
[c109]
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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
2022
[c108]
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Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju Surampudi Bapi, Mariya Toneva:
Deep Learning for Brain Encoding and Decoding. CogSci 2022
[c107]
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Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi:
Multi-view and Cross-view Brain Decoding. COLING 2022: 105-115
[c106]
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Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
Visio-Linguistic Brain Encoding. COLING 2022: 116-133
[c105]
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Sahil Chelaramani, Ankush Chatterjee, Sonam Damani, Kedhar Nath Narahari, Meghana Joshi, Manish Gupta, Puneet Agrawal:
Query-Document Topic Mismatch Detection. DASFAA (3) 2022: 413-424
[c104]
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Arnav Kapoor, Manish Gupta:
Identifying Relevant Sentences for Travel Blogs from Wikipedia Articles. DASFAA (3) 2022: 532-536
[c103]
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Prajwal Gatti, Anand Mishra, Manish Gupta, Mithun Das Gupta:
VisToT: Vision-Augmented Table-to-Text Generation. EMNLP 2022: 9936-9949
[c102]
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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
[c101]
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Venkata M. V. Gunturi, Rakesh Rajeev, Vipul Bondre, Aaditya Barnwal, Samir Jain, Ashank Anshuman, Manish Gupta:
A Case Study on Periodic Spatio- Temporal Hotspot Detection in Azure Traffic Data. ICDM (Workshops) 2022: 1037-1044
[c100]
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Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal:
Representation Learning for Conversational Data using Discourse Mutual Information Maximization. NAACL-HLT 2022: 1718-1734
[c99]
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Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi:
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? NAACL-HLT 2022: 3220-3237
[c98]
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Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma:
Fact Aware Multi-task Learning for Text Coherence Modeling. PAKDD (2) 2022: 340-353
[c97]
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Sarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty:
Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. WSDM 2022: 1629-1631
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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
[c95]
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Arnav Kapoor, Dipanwita Guhathakurta, Mehul Mathur, Rupanshu Yadav, Manish Gupta, Ponnurangam Kumaraguru:
TweetBoost: Influence of Social Media on NFT Valuation. WWW (Companion Volume) 2022: 621-629
2021
[c94]
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Tanmay Sachan, Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma:
SCATE: shared cross attention transformer encoders for multimodal fake news detection. ASONAM 2021: 399-406
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Yash Agrawal, Vivek Anand, Manish Gupta, S. Arunachalam, Vasudeva Varma:
Goal-Directed Extractive Summarization of Financial Reports. CIKM 2021: 2817-2821
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Manoj K. Agarwal, Animesh Baranawal, Yogesh Simmhan, Manish Gupta:
Event Related Data Collection from Microblog Streams. DEXA (2) 2021: 319-331
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Rajarshee Mitra, Rhea Jain, Aditya Srikanth Veerubhotla, Manish Gupta:
Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing. KDD 2021: 3414-3422
[c90]
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Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma:
T^3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter. PAKDD (1) 2021: 686-700
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Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Jeffrey Galitz, Minghsun Liu, Manish Gupta:
HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients. WACV 2021: 2462-2471
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Sahil Chelaramani, Manish Gupta, Vipul Agarwal, Prashant Gupta, Ranya Habash:
Multi-Task Knowledge Distillation for Eye Disease Prediction. WACV 2021: 3982-3992
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Mohit Chandra, Dheeraj Reddy Pailla, Himanshu Bhatia, AadilMehdi J. Sanchawala, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru:
"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning. WebSci 2021: 148-157
2020
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Rajarshee Mitra, Manish Gupta, Sandipan Dandapat:
Transformer Models for Recommending Related Questions in Web Search. CIKM 2020: 2153-2156
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Manish Gupta, Vasudeva Varma, Sonam Damani, Kedhar Nath Narahari:
Compression of Deep Learning Models for NLP. CIKM 2020: 3507-3508
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Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Gupta, Vasudeva Varma:
Predicting Clickbait Strength in Online Social Media. COLING 2020: 4835-4846
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Mohit Chandra, Ashwin Pathak, Eesha Dutta, Paryul Jain, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru:
AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts. COLING 2020: 6277-6283
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Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma:
Summaformers @ LaySumm 20, LongSumm 20. SDP@EMNLP 2020: 336-343
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Manish Gupta, Chetna Das, Arnab Roy, Prashant Gupta, G. Radhakrishna Pillai, Kamlakar Patole:
Region of Interest Identification for Cervical Cancer Images. ISBI 2020: 1293-1296
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Sonam Damani, Kedhar Nath Narahari, Ankush Chatterjee, Manish Gupta, Puneet Agrawal:
Optimized Transformer Models for FAQ Answering. PAKDD (1) 2020: 235-248
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Ankush Chatterjee, Manish Gupta, Puneet Agrawal:
FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages. WSDM 2020: 829-832
2019
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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
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Sahil Chelaramani, Manish Gupta, Vipul Agarwal, Prashant Gupta, Ranya Habash:
Multi-task Learning for Fine-Grained Eye Disease Prediction. ACPR (2) 2019: 734-749
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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
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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
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Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru, Manish Gupta, Shaan Chopra:
Elites Tweet? Characterizing the Twitter Verified User Network. ICDE Workshops 2019: 278-285
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Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. IJCNN 2019: 1-8
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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
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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
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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
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Indraneil Paul, Abhinav Khattar, Shaan Chopra, Ponnurangam Kumaraguru, Manish Gupta:
What sets Verified Users apart?: Insights, Analysis and Prediction of Verified Users on Twitter. WebSci 2019: 215-224
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Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
clstk: The Cross-Lingual Summarization Tool-Kit. WSDM 2019: 766-769
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Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma:
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. WWW 2019: 49-59
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Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, Vasudeva Varma:
MVAE: Multimodal Variational Autoencoder for Fake News Detection. WWW 2019: 2915-2921
2018
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Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. AAAI 2018: 5473-5480
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Madhav Nimishakavi, Manish Gupta, Partha P. Talukdar:
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation. ACL (1) 2018: 1575-1584
[c63]
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Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. CIKM Workshops 2018
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Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar:
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. CIKM 2018: 307-316
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Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta:
HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. CIKM 2018: 1619-1622
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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
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Supriya Pandhre, Himangi Mittal, Manish Gupta, Vineeth N. Balasubramanian:
STwalk: learning trajectory representations in temporal graphs. COMAD/CODS 2018: 210-219
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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
[c57]
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Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
Translation Quality Estimation for Indian Languages. EAMT 2018: 179-188
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Raksha Sanjay Jalan, Manish Gupta, Vasudeva Varma:
Medical Forum Question Classification Using Deep Learning. ECIR 2018: 45-58
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Dhruv Khattar, Vaibhav Kumar, Manish Gupta, Vasudeva Varma:
Neural Content-Collaborative Filtering for News Recommendation. NewsIR@ECIR 2018: 45-50
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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
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Pinkesh Badjatiya, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
Attention-Based Neural Text Segmentation. ECIR 2018: 180-193
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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
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Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
A Workbench for Rapid Generation of Cross-Lingual Summaries. LREC 2018
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Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction. PAKDD (3) 2018: 231-243
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Srishti Gupta, Dhruv Kuchhal, Payas Gupta, Mustaque Ahamad, Manish Gupta, Ponnurangam Kumaraguru:
Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks. WebSci 2018: 67-76
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Ayushi Dalmia, Ganesh J, Manish Gupta:
Towards Interpretation of Node Embeddings. WWW (Companion Volume) 2018: 945-952
2017
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Ganesh J, Manish Gupta, Vasudeva Varma:
Interpretation of Semantic Tweet Representations. ASONAM 2017: 95-102
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Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Simultaneous Inference of User Representations and Trust. ASONAM 2017: 175-178
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Pattisapu Nikhil Priyatam, Manish Gupta, Ponnurangam Kumaraguru, Vasudeva Varma:
Medical Persona Classification in Social Media. ASONAM 2017: 377-384
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Ankan Mullick, Pawan Goyal, Niloy Ganguly, Manish Gupta:
Extracting Social Lists from Twitter. ASONAM 2017: 391-394
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Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Hybrid MemNet for Extractive Summarization. CIKM 2017: 2303-2306
[c42]
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Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Neural Architecture for News Recommendation. CLEF (Working Notes) 2017
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Ganesh J, Manish Gupta, Vasudeva Varma:
Improving Tweet Representations Using Temporal and User Context. ECIR 2017: 575-581
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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
[c39]
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Raghuram Vadapalli, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
SSAS: Semantic Similarity for Abstractive Summarization. IJCNLP(2) 2017: 198-203
[c38]
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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
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Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Learning for Hate Speech Detection in Tweets. WWW (Companion Volume) 2017: 759-760
2016
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Ayushi Dalmia, Manish Gupta, Vasudeva Varma:
Query-Based Evolutionary Graph Cuboid Outlier Detection. ICDM Workshops 2016: 85-92
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Manish Gupta, Prashant Gupta, Pravin K. Vaddavalli, Asra Fatima:
Predicting Post-operative Visual Acuity for LASIK Surgeries. PAKDD (1) 2016: 489-501
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Ganesh J, Manish Gupta, Vasudeva Varma:
Doc2Sent2Vec: A Novel Two-Phase Approach for Learning Document Representation. SIGIR 2016: 809-812
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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
2015
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Ayushi Dalmia, Manish Gupta, Vasudeva Varma:
Query-based Graph Cuboid Outlier Detection. ASONAM 2015: 705-712
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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
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Manish Gupta:
CricketLinking: Linking Event Mentions from Cricket Match Reports to Ball Entities in Commentaries. SIGIR 2015: 1033-1034
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Manish Gupta, Michael Bendersky:
Information Retrieval with Verbose Queries. SIGIR 2015: 1121-1124
2014
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Sandeep Panem, Manish Gupta, Vasudeva Varma:
Structured Information Extraction from Natural Disaster Events on Twitter. Web-KRM@CIKM 2014: 1-8
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Romil Bansal, Sandeep Panem, Manish Gupta, Vasudeva Varma:
EDIUM: Improving Entity Disambiguation via User Modeling. ECIR 2014: 418-423
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Sandeep Panem, Romil Bansal, Manish Gupta, Vasudeva Varma:
Entity Tracking in Real-Time Using Sub-topic Detection on Twitter. ECIR 2014: 528-533
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Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han:
Top-K interesting subgraph discovery in information networks. ICDE 2014: 820-831
[c24]
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Romil Bansal, Sandeep Panem, Priya Radhakrishnan, Manish Gupta, Vasudeva Varma:
Linking Entities in #Microposts. #MSM 2014: 71-72
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Manish Gupta, Arun Mallya, Subhro Roy, Jason H. D. Cho, Jiawei Han:
Local Learning for Mining Outlier Subgraphs from Network Datasets. SDM 2014: 73-81
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Priya Radhakrishnan, Romil Bansal, Manish Gupta, Vasudeva Varma:
Exploiting Wikipedia inlinks for linking entities in queries. ERD@SIGIR 2014: 101-104
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Priya Radhakrishnan, Manish Gupta, Vasudeva Varma:
Modeling the evolution of product entities. SIGIR 2014: 923-926
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Manish Gupta, Piyush Bansal, Vasudeva Varma:
CharBoxes: a system for automatic discovery of character infoboxes from books. SIGIR 2014: 1255-1256
[c19]
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K. Santosh, Aditya Joshi, Manish Gupta, Vasudeva Varma:
Exploiting Wikipedia Categorization for Predicting Age and Gender of Blog Authors. UMAP Workshops 2014
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Manish Gupta, Rui Li, Kevin Chen-Chuan Chang:
Towards a social media analytics platform: event detection and user profiling for twitter. WWW (Companion Volume) 2014: 193-194
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Manish Gupta, Prashant Borole, Praful Hebbar, Rupesh Kumar Mehta, Niranjan Nayak:
Cross market modeling for query-entity matching. WWW (Companion Volume) 2014: 285-286
2013
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Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han:
On detecting association-based clique outliers in heterogeneous information networks. ASONAM 2013: 108-115
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Manish Gupta, Jing Gao, Jiawei Han:
Community Distribution Outlier Detection in Heterogeneous Information Networks. ECML/PKDD (1) 2013: 557-573
2012
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Manish Gupta, Jing Gao, ChengXiang Zhai, Jiawei Han:
Predicting future popularity trend of events in microblogging platforms. ASIST 2012: 1-10
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Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han:
Integrating community matching and outlier detection for mining evolutionary community outliers. KDD 2012: 859-867
[c12]
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Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han:
Community Trend Outlier Detection Using Soft Temporal Pattern Mining. ECML/PKDD (2) 2012: 692-708
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Manish Gupta, Peixiang Zhao, Jiawei Han:
Evaluating Event Credibility on Twitter. SDM 2012: 153-164
2011
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Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizhou Sun:
Evolutionary Clustering and Analysis of Bibliographic Networks. ASONAM 2011: 63-70
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Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, Jiawei Han:
Co-author Relationship Prediction in Heterogeneous Bibliographic Networks. ASONAM 2011: 121-128
[c8]
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Dong Wang, Tarek F. Abdelzaher, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Manish Gupta, Jiawei Han, Omid Fatemieh, Hieu Khac Le, Charu C. Aggarwal:
On Bayesian interpretation of fact-finding in information networks. FUSION 2011: 1-8
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Hieu Khac Le, Jeff Pasternack, Hossein Ahmadi, Manish Gupta, Yizhou Sun, Tarek F. Abdelzaher, Jiawei Han, Dan Roth, Boleslaw K. Szymanski, Sibel Adali:
Apollo: Towards factfinding in participatory sensing. IPSN 2011: 129-130
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Manish Gupta, Charu C. Aggarwal, Jiawei Han:
Finding Top-k Shortest Path Distance Changes in an Evolutionary Network. SSTD 2011: 130-148
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Manish Gupta, Yizhou Sun, Jiawei Han:
Trust analysis with clustering. WWW (Companion Volume) 2011: 53-54
2010
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Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han:
A Unified Framework for Link Recommendation Using Random Walks. ASONAM 2010: 152-159
[c3]
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Parikshit Sondhi, Manish Gupta, ChengXiang Zhai, Julia Hockenmaier:
Shallow Information Extraction from Medical Forum Data. COLING (Posters) 2010: 1158-1166
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Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, Bo Zhao:
Community evolution detection in dynamic heterogeneous information networks. MLG@KDD 2010: 137-146
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Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han:
LINKREC: a unified framework for link recommendation with user attributes and graph structure. WWW 2010: 1211-1212

Parts in Books or Collections

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2011
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Manish Gupta, Rui Li, Zhijun Yin, Jiawei Han:
An Overview of Social Tagging and Applications. Social Network Data Analytics 2011: 447-497

Editorship

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2021
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Jayant R. Haritsa, Shourya Roy, Manish Gupta, Sharad Mehrotra, Balaji Vasan Srinivasan, Yogesh Simmhan:
CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, Virtual Event, Bangalore, India, January 2-4, 2021. ACM 2021, ISBN 978-1-4503-8817-7 [contents]
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Manish Gupta, Ganesh Ramakrishnan:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2021 Workshops, WSPA, MLMEIN, SDPRA, DARAI, and AI4EPT, Delhi, India, May 11, 2021 Proceedings. Lecture Notes in Computer Science 12705, Springer 2021, ISBN 978-3-030-75014-5 [contents]
2017
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Partha Pratim Chakraborty, Manish Gupta, Lipika Dey, Shourya Roy:
Proceedings of the 10th Annual ACM India Compute Conference, Compute 2017, Bhopal, India, November 16-18, 2017. ACM 2017 [contents]

Informal and Other Publications

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2024
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Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek:
USDC: A Dataset of User Stance and Dogmatism in Long Conversations. CoRR abs/2406.16833 (2024)
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Yaswanth Narsupalli, Abhranil Chandra, Sreevatsa Muppirala, Manish Gupta, Pawan Goyal:
Review-Feedback-Reason (ReFeR): A Novel Framework for NLG Evaluation and Reasoning. CoRR abs/2407.12877 (2024)
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Akhilesh Aravapalli, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi, Manish Gupta:
IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? CoRR abs/2410.02611 (2024)
2023
[i42]
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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)
[i41]
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Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi:
Syntactic Structure Processing in the Brain while Listening. CoRR abs/2302.08589 (2023)
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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)
[i39]
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Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta:
On Robustness of Finetuned Transformer-based NLP Models. CoRR abs/2305.14453 (2023)
[i38]
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Bishal Santra, Sakya Basak, Abhinandan De, Manish Gupta, Pawan Goyal:
Frugal Prompting for Dialog Models. CoRR abs/2305.14919 (2023)
[i37]
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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)
[i36]
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Abhirama Subramanyam Penamakuri, Manish Gupta, Mithun Das Gupta, Anand Mishra:
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering. CoRR abs/2306.16713 (2023)
[i35]
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Subba Reddy Oota, Manish Gupta, Raju S. Bapi, Gaël Jobard, Frédéric Alexandre, Xavier Hinaut:
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). CoRR abs/2307.10246 (2023)
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Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Manish Gupta, Puneet Agrawal:
Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes. CoRR abs/2307.15455 (2023)
[i33]
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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
[i32]
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Arnav Kapoor, Dipanwita Guhathakurta, Mehul Mathur, Rupanshu Yadav, Manish Gupta, Ponnurangam Kumaraguru:
TweetBoost: Influence of Social Media on NFT Valuation. CoRR abs/2201.08373 (2022)
[i31]
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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)
[i30]
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Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
Visio-Linguistic Brain Encoding. CoRR abs/2204.08261 (2022)
[i29]
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Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi:
Cross-view Brain Decoding. CoRR abs/2204.09564 (2022)
[i28]
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Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi:
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? CoRR abs/2205.01404 (2022)
[i27]
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Bishal Santra, Ravi Ghadia, Arpit Dwivedi, Manish Gupta, Pawan Goyal:
CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models. CoRR abs/2205.10558 (2022)
[i26]
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  - journals/corr/abs-2209-11252
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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)
[i25]
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Subba Reddy Oota, Manish Gupta, Mariya Toneva:
Joint processing of linguistic properties in brains and language models. CoRR abs/2212.08094 (2022)
2021
[i24]
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Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma:
Summaformers @ LaySumm 20, LongSumm 20. CoRR abs/2101.03553 (2021)
[i23]
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Mohit Chandra, Dheeraj Reddy Pailla, Himanshu Bhatia, AadilMehdi J. Sanchawala, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru:
"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning. CoRR abs/2104.05947 (2021)
[i22]
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Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma:
Transformer Models for Text Coherence Assessment. CoRR abs/2109.02176 (2021)
[i21]
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Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal:
Representation Learning for Conversational Data using Discourse Mutual Information Maximization. CoRR abs/2112.05787 (2021)
2020
[i20]
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  - journals/corr/abs-2001-05495
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Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma:
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. CoRR abs/2001.05495 (2020)
[i19]
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  - journals/corr/abs-2008-05221
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Manish Gupta, Puneet Agrawal:
Compression of Deep Learning Models for Text: A Survey. CoRR abs/2008.05221 (2020)
[i18]
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Mohit Chandra, Ashwin Pathak, Eesha Dutta, Paryul Jain, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru:
AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts. CoRR abs/2010.00038 (2020)
2019
[i17]
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Indraneil Paul, Abhinav Khattar, Shaan Chopra, Ponnurangam Kumaraguru, Manish Gupta:
What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter. CoRR abs/1903.04879 (2019)
[i16]
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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)
[i15]
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Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. CoRR abs/1912.11688 (2019)
[i14]
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Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Hybrid MemNet for Extractive Summarization. CoRR abs/1912.11701 (2019)
2018
[i13]
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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)
[i12]
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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)
[i11]
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Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar:
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information. CoRR abs/1802.06371 (2018)
[i10]
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Srishti Gupta, Dhruv Kuchhal, Payas Gupta, Mustaque Ahamad, Manish Gupta, Ponnurangam Kumaraguru:
Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks. CoRR abs/1804.00451 (2018)
[i9]
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  - journals/corr/abs-1808-09935
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Pinkesh Badjatiya, Litton J. Kurisinkel, Manish Gupta, Vasudeva Varma:
Attention-based Neural Text Segmentation. CoRR abs/1808.09935 (2018)
[i8]
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Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru, Manish Gupta, Shaan Chopra:
Elites Tweet? Characterizing the Twitter Verified User Network. CoRR abs/1812.09710 (2018)
2017
[i7]
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Ganesh J, Manish Gupta, Vasudeva Varma:
Interpretation of Semantic Tweet Representations. CoRR abs/1704.00898 (2017)
[i6]
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Pinkesh Badjatiya, Shashank Gupta, Manish Gupta, Vasudeva Varma:
Deep Learning for Hate Speech Detection in Tweets. CoRR abs/1706.00188 (2017)
[i5]
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Shashank Gupta, Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Simultaneous Inference of User Representations and Trust. CoRR abs/1706.00923 (2017)
[i4]
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Supriya Pandhre, Himangi Mittal, Manish Gupta, Vineeth N. Balasubramanian:
STWalk: Learning Trajectory Representations in Temporal Graphs. CoRR abs/1711.04150 (2017)
2016
[i3]
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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)
[i2]
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Ganesh J, Manish Gupta, Vasudeva Varma:
Improving Tweet Representations using Temporal and User Context. CoRR abs/1612.06062 (2016)
[i1]
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Supriya Pandhre, Manish Gupta, Vineeth N. Balasubramanian:
Community-based Outlier Detection for Edge-attributed Graphs. CoRR abs/1612.09435 (2016)

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