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ORCIDManish Shrivastava 0001
Person information
- affiliation: International Institute of Information Technology, Hyderabad, India
Other persons with the same name
- Manish Shrivastava 0002 — Ambedkar University (A Central University), Lucknow, India
- Manish Shrivastava 0003
![[0000-0002-1346-968X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1346-968X")
— Department of Computer Science and Engineering, School of Studies (Engineering & Technology), Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh, India - Manish Shrivastava 0004 — PDPM Indian Institute of Information Technology, Design and Manufacturing Jabalpur, India
- Manish Shrivastava 0005 — Lakshmi Narain College of Technology, Department of IT, Bhopal, India
- Manish Shrivastava 0006 — Vivekananda Global University, Jaipur, India
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2020 – today
- 2024
[i49]Hiranmai Sri Adibhatla, Pavan Baswani, Manish Shrivastava:
Fine-grained Contract NER using instruction based model. CoRR abs/2401.13545 (2024)- [i48]Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Abinew Ali Ayele, Pavan Baswani, Meriem Beloucif, Chris Biemann, Sofia Bourhim, Christine de Kock, Genet Shanko Dekebo, Oumaima Hourrane, Gopichand Kanumolu, Lokesh Madasu, Samuel Rutunda, Manish Shrivastava, Thamar Solorio, Nirmal Surange, Hailegnaw Getaneh Tilaye, Krishnapriya Vishnubhotla, Genta Indra Winata, Seid Muhie Yimam, Saif M. Mohammad:
SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 14 Languages. CoRR abs/2402.08638 (2024) - [i47]Harshit Sandilya, Peehu Raj, Jainit Sushil Bafna, Srija Mukhopadhyay, Shivansh Sharma, Ellwil Sharma, Arastu Sharma, Neeta Trivedi, Manish Shrivastava, Rajesh Kumar:
Can LLMs Compute with Reasons? CoRR abs/2402.12080 (2024) - [i46]Patanjali Bhamidipati, Advaith Malladi, Manish Shrivastava, Radhika Mamidi:
Zero-Shot Multi-task Hallucination Detection. CoRR abs/2403.12244 (2024) - [i45]Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Meriem Beloucif, Christine de Kock, Oumaima Hourrane, Manish Shrivastava, Thamar Solorio, Nirmal Surange, Krishnapriya Vishnubhotla, Seid Muhie Yimam, Saif M. Mohammad:
SemEval Task 1: Semantic Textual Relatedness for African and Asian Languages. CoRR abs/2403.18933 (2024) - 2023
- [j3]Alok Debanth, Manish Shrivastava:
A Computational Algebraic Analysis of Hindi Syntax. J. Log. Lang. Inf. 32(5): 759-776 (2023) - [c137]Mehrad Moradshahi, Tianhao Shen, Kalika Bali, Monojit Choudhury, Gaël de Chalendar, Anmol Goel, Sungkyun Kim, Prashant Kodali, Ponnurangam Kumaraguru, Nasredine Semmar, Sina J. Semnani, Jiwon Seo, Vivek Seshadri, Manish Shrivastava, Michael Sun, Aditya Yadavalli, Chaobin You, Deyi Xiong, Monica S. Lam:
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents. ACL (Findings) 2023: 2773-2794 - [c136]Manish Singh, Manish Shrivastava:
BRR-QA: Boosting Ranking and Reading in Open-Domain Question Answering. COMAD/CODS 2023: 62-69 - [c135]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 - [c134]Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow:
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India. EMNLP (Findings) 2023: 11606-11628 - [c133]Pavan Baswani, Ananya Mukherjee, Manish Shrivastava:
LTRC_IIITH's 2023 Submission for Prompting Large Language Models as Explainable Metrics Task. Eval4NLP 2023: 156-163 - [c132]Mounika Kanakanti, Shantanu Singh, Manish Shrivastava:
MultiFacet: A Multi-Tasking Framework for Speech-to-Sign Language Generation. ICMI Companion 2023: 205-213 - [c131]Shubhangi Dutta, Manish Shrivastava, Prabhakar Bhimalapuram:
The WEAVE 2.0 Corpus: Role Labelled Synthetic Chemical Procedures from Patents with Chemical Named Entities. PACLIC 2023: 80-88 - [c130]Lokesh Madasu, Gopichand Kanumolu, Nirmal Surange, Manish Shrivastava:
Mukhyansh: A Headline Generation Dataset for Indic Languages. PACLIC 2023: 620-634 - [c129]Hiranmai Sri Adibhatla, Pavan Baswani, Manish Shrivastava:
Fine-grained Contract NER using instruction based mode. PACLIC 2023: 889-902 - [c128]Sumukh S, Abhinav Appidi Reddy, Manish Shrivastava:
Event Annotation and Detection in Kannada-English Code-Mixed Social Media Data. RANLP 2023: 1007-1014 - [c127]Pavan Baswani, Hiranmai Sri Adibhatla, Manish Shrivastava:
LTRC at SemEval-2023 Task 6: Experiments with Ensemble Embeddings. SemEval@ACL 2023: 841-846 - [c126]Debashish Roy, Manish Shrivastava:
Attention at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS). SemEval@ACL 2023: 1972-1977 - [c125]Bhaskara Hanuma Vedula, Prashant Kodali, Manish Shrivastava, Ponnurangam Kumaraguru:
PrecogIIITH@WASSA2023: Emotion Detection for Urdu-English Code-mixed Text. WASSA@ACL 2023: 601-605 - [c124]Ananya Mukherjee, Manish Shrivastava:
IIIT HYD's Submission for WMT23 Test-suite Task. WMT 2023: 246-251 - [c123]Ananya Mukherjee, Manish Shrivastava:
MEE4 and XLsim : IIIT HYD's Submissions' for WMT23 Metrics Shared Task. WMT 2023: 800-805 - [i44]Ashok Urlana, Sahil Manoj Bhatt, Nirmal Surange, Manish Shrivastava:
Indian Language Summarization using Pretrained Sequence-to-Sequence Models. CoRR abs/2303.14461 (2023) - [i43]Debashish Roy, Manish Shrivastava:
Attention at SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS). CoRR abs/2304.04610 (2023) - [i42]Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow:
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India. CoRR abs/2305.08828 (2023) - [i41]Mehrad Moradshahi, Tianhao Shen, Kalika Bali, Monojit Choudhury, Gaël de Chalendar, Anmol Goel, Sungkyun Kim, Prashant Kodali, Ponnurangam Kumaraguru, Nasredine Semmar, Sina J. Semnani, Jiwon Seo, Vivek Seshadri, Manish Shrivastava, Michael Sun, Aditya Yadavalli, Chaobin You, Deyi Xiong, Monica S. Lam:
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents. CoRR abs/2306.17674 (2023) - [i40]Lokesh Madasu, Gopichand Kanumolu, Nirmal Surange, Manish Shrivastava:
Mukhyansh: A Headline Generation Dataset for Indic Languages. CoRR abs/2311.17743 (2023) - [i39]Gopichand Kanumolu, Lokesh Madasu, Pavan Baswani, Ananya Mukherjee, Manish Shrivastava:
Unsupervised Approach to Evaluate Sentence-Level Fluency: Do We Really Need Reference? CoRR abs/2312.01500 (2023) - 2022
- [j2]Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Kumar Singh, Vivek Srikumar:
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. Trans. Assoc. Comput. Linguistics 10: 659-679 (2022) - [c122]Roopal Vaid, Kartikey Pant, Manish Shrivastava:
Towards Fine-grained Classification of Climate Change related Social Media Text. ACL (student) 2022: 434-443 - [c121]Prashant Kodali, Anmol Goel, Monojit Choudhury, Manish Shrivastava, Ponnurangam Kumaraguru:
SyMCoM - Syntactic Measure of Code Mixing A Study Of English-Hindi Code-Mixing. ACL (Findings) 2022: 472-480 - [c120]Hiranmai Sri Adibhatla, Manish Shrivastava:
LTRC @ Causal News Corpus 2022: Extracting and Identifying Causal Elements using Adapters. CASE@EMNLP 2022: 50-55 - [c119]Sumukh S, Manish Shrivastava:
"Kanglish alli names!" Named Entity Recognition for Kannada-English Code-Mixed Social Media Data. W-NUT@COLING 2022: 154-161 - [c118]Ashok Urlana, Nirmal Surange, Manish Shrivastava:
LTRC @MuP 2022: Multi-Perspective Scientific Document Summarization Using Pre-trained Generation Models. SDP@COLING 2022: 279-284 - [c117]Poojitha Nandigam, Nikhil Rayaprolu, Manish Shrivastava:
Diverse Multi-Answer Retrieval with Determinantal Point Processes. COLING 2022: 2220-2225 - [c116]Sriharsh Bhyravajjula, Ujwal Narayan, Manish Shrivastava:
MARCUS: An Event-Centric NLP Pipeline that generates Character Arcs from Narratives. Text2Story@ECIR 2022: 67-74 - [c115]Puneet Mathur, Gautam Kunapuli, Riyaz Bhat, Manish Shrivastava, Dinesh Manocha, Maneesh Singh:
DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection. EMNLP 2022: 809-824 - [c114]Aashna Jena, Vivek Gupta, Manish Shrivastava, Julian Martin Eisenschlos:
Leveraging Data Recasting to Enhance Tabular Reasoning. EMNLP (Findings) 2022: 4483-4496 - [c113]Ashok Urlana, Sahil Manoj Bhatt, Nirmal Surange, Manish Shrivastava:
Indian Language Summarization using Pretrained Sequence-to-Sequence Models. FIRE (Working Notes) 2022: 393-402 - [c112]Poojitha Nandigam, Abhinav Appidi Reddy, Manish Shrivastava:
Named Entity Recognition for Code-Mixed Kannada-English Social Media Data. ICON 2022: 43-49 - [c111]Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava:
Generalised Spherical Text Embedding. ICON 2022: 80-85 - [c110]Hiranmai Sri Adibhatla, Manish Shrivastava:
SConE: Contextual Relevance based Significant CompoNent Extraction from Contracts. ICON 2022: 161-171 - [c109]Ashok Urlana, Nirmal Surange, Pawan Baswani, Priyanka Ravva, Manish Shrivastava:
TeSum: Human-Generated Abstractive Summarization Corpus for Telugu. LREC 2022: 5712-5722 - [c108]Prashant Kodali, Akshala Bhatnagar, Naman Ahuja, Manish Shrivastava, Ponnurangam Kumaraguru:
HashSet - A Dataset For Hashtag Segmentation. LREC 2022: 7215-7219 - [c107]Chaitanya Agarwal, Vivek Gupta, Anoop Kunchukuttan, Manish Shrivastava:
Bilingual Tabular Inference: A Case Study on Indic Languages. NAACL-HLT 2022: 4018-4037 - [c106]Sahil Manoj Bhatt, Manish Shrivastava:
Tesla at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Transformer-based Models with Data Augmentation. SemEval@NAACL 2022: 394-399 - [c105]Ananya Mukherjee, Manish Shrivastava:
Unsupervised Embedding-based Metric for MT Evaluation with Improved Human Correlation. WMT 2022: 558-563 - [c104]Ananya Mukherjee, Manish Shrivastava:
REUSE: REference-free UnSupervised Quality Estimation Metric. WMT 2022: 564-568 - [i38]Prashant Kodali, Akshala Bhatnagar, Naman Ahuja, Manish Shrivastava, Ponnurangam Kumaraguru:
HashSet - A Dataset For Hashtag Segmentation. CoRR abs/2201.06741 (2022) - [i37]Prashant Kodali, Tanmay Sachan, Akshay Goindani, Anmol Goel, Naman Ahuja, Manish Shrivastava, Ponnurangam Kumaraguru:
PreCogIIITH at HinglishEval : Leveraging Code-Mixing Metrics & Language Model Embeddings To Estimate Code-Mix Quality. CoRR abs/2206.07988 (2022) - [i36]Aashna Jena, Vivek Gupta, Manish Shrivastava, Julian Martin Eisenschlos:
Leveraging Data Recasting to Enhance Tabular Reasoning. CoRR abs/2211.12641 (2022) - [i35]Poojitha Nandigam, Nikhil Rayaprolu, Manish Shrivastava:
Diverse Multi-Answer Retrieval with Determinantal Point Processes. CoRR abs/2211.16029 (2022) - [i34]Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava:
Generalised Spherical Text Embedding. CoRR abs/2211.16801 (2022) - 2021
- [c103]Devansh Gautam, Kshitij Gupta, Manish Shrivastava:
Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed Data. CALCS@NAACL 2021: 15-25 - [c102]Devansh Gautam, Prashant Kodali, Kshitij Gupta, Anmol Goel, Manish Shrivastava, Ponnurangam Kumaraguru:
CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences. CALCS@NAACL 2021: 47-55 - [c101]Manish Singh, Manish Shrivastava:
Fusion of Intrinsic & Extrinsic Sentential Traits for Text Coherence Assessment. COMAD/CODS 2021: 253-256 - [c100]Aditya Kadam, Anmol Goel, Jivitesh Jain, Jushaan Singh Kalra, Mallika Subramanian, Manvith Reddy, Prashant Kodali, T. H. Arjun, Manish Shrivastava, Ponnurangam Kumaraguru:
Battling Hateful Content in Indic Languages HASOC'21. FIRE (Working Notes) 2021: 161-172 - [c99]Akshay Goindani, Manish Shrivastava:
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation. RANLP 2021: 454-462 - [c98]Devansh Gautam, Kshitij Gupta, Manish Shrivastava:
Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer Learning. SemEval@ACL/IJCNLP 2021: 1262-1270 - [c97]Konigari Rachna, Saurabh Ramola, Vijay Vardhan Alluri, Manish Shrivastava:
Topic Shift Detection for Mixed Initiative Response. SIGDIAL 2021: 161-166 - [c96]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 - [c95]Saumitra Yadav, Manish Shrivastava:
A3-108 Machine Translation System for Similar Language Translation Shared Task 2021. WMT@EMNLP 2021: 304-306 - [i33]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) - [i32]Devansh Gautam, Kshitij Gupta, Manish Shrivastava:
Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer Learning. CoRR abs/2106.00248 (2021) - [i31]Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Singh, Vivek Srikumar:
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. CoRR abs/2108.00578 (2021) - [i30]Akshay Goindani, Manish Shrivastava:
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation. CoRR abs/2108.01377 (2021) - [i29]Aditya Kadam, Anmol Goel, Jivitesh Jain, Jushaan Singh Kalra, Mallika Subramanian, Manvith Reddy, Prashant Kodali, T. H. Arjun, Manish Shrivastava, Ponnurangam Kumaraguru:
Battling Hateful Content in Indic Languages HASOC '21. CoRR abs/2110.12780 (2021) - 2020
- [c94]Chanakya Malireddy, Tirth Maniar, Manish Shrivastava:
SCAR: Sentence Compression using Autoencoders for Reconstruction. ACL (student) 2020: 88-94 - [c93]Sneha Nallani, Manish Shrivastava, Dipti Misra Sharma:
A Simple and Effective Dependency Parser for Telugu. ACL (student) 2020: 143-149 - [c92]Arjit Srivastava, Avijit Vajpayee, Syed Sarfaraz Akhtar, Naman Jain, Vinay Singh, Manish Shrivastava:
A Multi-Dimensional View of Aggression when voicing Opinion. TRAC@LREC 2020: 13-20 - [c91]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 - [c90]Appidi Abhinav Reddy, Vamshi Krishna Srirangam, Darsi Suhas, Manish Shrivastava:
Creation of Corpus and analysis in Code-Mixed Kannada-English Twitter data for Emotion Prediction. COLING 2020: 6703-6709 - [c89]Priyanka Ravva, Ashok Urlana, Manish Shrivastava:
AVADHAN: System for Open-Domain Telugu Question Answering. COMAD/CODS 2020: 234-238 - [c88]Payal Khullar, Arghya Bhattacharya, Manish Shrivastava:
Finding The Right One and Resolving it. CoNLL 2020: 132-141 - [c87]Ananya Mukherjee, Hema Ala, Manish Shrivastava, Dipti Misra Sharma:
MEE : An Automatic Metric for Evaluation Using Embeddings for Machine Translation. DSAA 2020: 292-299 - [c86]Muthusamy Chelliah, Manish Shrivastava, Jaidam Ram Tej:
Principle-to-Program: Neural Methods for Similar Question Retrieval in Online Communities. ECIR (2) 2020: 663-668 - [c85]Ravindra Nittala, Manish Shrivastava:
The WEAVE Corpus: Annotating Synthetic Chemical Procedures in Patents with Chemical Named Entities. ICON 2020: 1-9 - [c84]Appidi Abhinav Reddy, Vamshi Krishna Srirangam, Darsi Suhas, Manish Shrivastava:
Creation of Corpus and Analysis in Code-Mixed Kannada-English Social Media Data for POS Tagging. ICON 2020: 101-107 - [c83]Chaitanya Sai Alaparthi, Manish Shrivastava:
Improving Passage Re-Ranking with Word N-Gram Aware Coattention Encoder. ICON 2020: 161-169 - [c82]Vaishali Pal, Fabien Guillot, Manish Shrivastava, Jean-Michel Renders, Laurent Besacier:
Modeling ASR Ambiguity for Neural Dialogue State Tracking. INTERSPEECH 2020: 1545-1549 - [c81]Aayush Surana, Yash Goyal, Manish Shrivastava, Suvi Saarikallio, Vinoo Alluri:
Tag2Risk: Harnessing Social Music Tags for Characterizing Depression Risk. ISMIR 2020: 384-391 - [c80]Payal Khullar, Kushal Majmundar, Manish Shrivastava:
NoEl: An Annotated Corpus for Noun Ellipsis in English. LREC 2020: 34-43 - [c79]Siddharth Bhat, Alok Debnath, Souvik Banerjee, Manish Shrivastava:
Word Embeddings as Tuples of Feature Probabilities. RepL4NLP@ACL 2020: 24-33 - [c78]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 - [c77]Anirudh Dahiya, Manish Shrivastava, Dipti Misra Sharma:
Cross-Lingual Transfer for Hindi Discourse Relation Identification. TDS 2020: 240-247 - [c76]Vaishali Pal, Manish Shrivastava, Laurent Besacier:
ConfNet2Seq - Full Length Answer Generation from Spoken Questions. TDS 2020: 524-531 - [c75]Saumitra Yadav, Manish Shrivastava:
A3-108 Machine Translation System for Similar Language Translation Shared Task 2020. WMT@EMNLP 2020: 451-455 - [c74]Alok Debnath, Nikhil Pinnaparaju, Manish Shrivastava, Vasudeva Varma, Isabelle Augenstein:
Semantic Textual Similarity of Sentences with Emojis. WWW (Companion Volume) 2020: 426-430 - [i28]Vaishali Pal, Manish Shrivastava, Laurent Besacier:
ConfNet2Seq: Full Length Answer Generation from Spoken Questions. CoRR abs/2006.05163 (2020) - [i27]Aayush Surana, Yash Goyal, Manish Shrivastava, Suvi Saarikallio, Vinoo Alluri:
Tag2Risk: Harnessing Social Music Tags for Characterizing Depression Risk. CoRR abs/2007.13159 (2020) - [i26]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)
2010 – 2019
- 2019
- [c73]Vamshi Krishna Srirangam, Appidi Abhinav Reddy, Vinay Singh, Manish Shrivastava:
Corpus Creation and Analysis for Named Entity Recognition in Telugu-English Code-Mixed Social Media Data. ACL (2) 2019: 183-189 - [c72]Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava, Philipp Koehn:
De-Mixing Sentiment from Code-Mixed Text. ACL (2) 2019: 371-377 - [c71]Vinayak Athavale, Aayush Naik, Rajas Vanjape, Manish Shrivastava:
Predicting Algorithm Classes for Programming Word Problems. W-NUT@EMNLP 2019: 84-93 - [c70]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 - [c69]Anirudh Dahiya, Neeraj Battan, Manish Shrivastava, Dipti Misra Sharma:
Curriculum Learning Strategies for Hindi-English Code-Mixed Sentiment Analysis. IJCAI 2019: 177-189 - [c68]Alok Debnath, Manish Shrivastava:
A Pregroup Representation of Word Order Alternation Using Hindi Syntax. NAACL-HLT (Student Research Workshop) 2019: 125-135 - [c67]Payal Khullar, Allen Antony, Manish Shrivastava:
Using Syntax to Resolve NPE in English. RANLP 2019: 534-540 - [c66]Krishna Rohit Sakala Venkata, Manish Shrivastava:
Using Argumentative Semantic Feature for Summarization. ICSC 2019: 456-461 - [c65]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 - [c64]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 - [c63]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 - [i25]Vinayak Athavale, Aayush Naik, Rajas Vanjape, Manish Shrivastava:
Predicting Algorithm Classes for Programming Word Problems. CoRR abs/1903.00830 (2019) - [i24]Anirudh Dahiya, Neeraj Battan, Manish Shrivastava, Dipti Misra Sharma:
Curriculum Learning Strategies for Hindi-English Codemixed Sentiment Analysis. CoRR abs/1906.07382 (2019) - [i23]Ratish Puduppully, Yue Zhang, Manish Shrivastava:
Transition-Based Deep Input Linearization. CoRR abs/1911.02808 (2019) - 2018
- [j1]Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava:
Gender Prediction in English-Hindi Code-Mixed Social Media Content: Corpus and Baseline System. Computación y Sistemas 22(4) (2018) - [c62]Nikhilesh Bhatnagar, Manish Shrivastava, Radhika Mamidi:
Exploring Chunk Based Templates for Generating a subset of English Text. ACL (3) 2018: 120-126 - [c61]Payal Khullar, Konigari Rachna, Mukul Hase, Manish Shrivastava:
Automatic Question Generation using Relative Pronouns and Adverbs. ACL (3) 2018: 153-158 - [c60]Vinay Singh, Aman Varshney, Syed Sarfaraz Akhtar, Deepanshu Vijay, Manish Shrivastava:
Aggression Detection on Social Media Text Using Deep Neural Networks. ALW 2018: 43-50 - [c59]Vishal Gupta, Manoj Kumar Chinnakotla, Manish Shrivastava:
Transliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base. CodeSwitch@ACL 2018: 39-50 - [c58]Aditya Bohra, Deepanshu Vijay, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava:
A Dataset of Hindi-English Code-Mixed Social Media Text for Hate Speech Detection. PEOPLES@NAACL-HTL 2018: 36-41 - [c57]Vinay Singh, Deepanshu Vijay, Syed Sarfaraz Akhtar, Manish Shrivastava:
Named Entity Recognition for Hindi-English Code-Mixed Social Media Text. NEWS@ACL 2018: 27-35 - [c56]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Sentiment Analysis of Code-Mixed Languages Leveraging Resource Rich Languages. CICLing (2) 2018: 104-114 - [c55]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Emotions Are Universal: Learning Sentiment Based Representations of Resource-Poor Languages Using Siamese Networks. CICLing (2) 2018: 115-128 - [c54]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Contrastive Learning of Emoji-Based Representations for Resource-Poor Languages. CICLing (2) 2018: 129-141 - [c53]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Neural Network Architecture for Credibility Assessment of Textual Claims (Best Paper Award, First Place). CICLing (2) 2018: 301-313 - [c52]Rajat Singh, Nurendra Choudhary, Manish Shrivastava:
Automatic Normalization of Word Variations in Code-Mixed Social Media Text. CICLing (1) 2018: 371-381 - [c51]Sanjana Sharma, Saksham Agrawal, Manish Shrivastava:
Degree based Classification of Harmful Speech using Twitter Data. TRAC@COLING 2018 2018: 106-112 - [c50]Nurendra Choudhary, Rajat Singh, Vijjini Anvesh Rao, Manish Shrivastava:
Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction. COLING 2018: 1570-1577 - [c49]Deepanshu Vijay, Aditya Bohra, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava:
A Dataset for Detecting Irony in Hindi-English Code-Mixed Social Media Text. EMSASW@ESWC 2018: 38-46 - [c48]Rashid Ahmad, Priyank Gupta, Nagaraju Vuppala, Sanket Kumar Pathak, Ashutosh Kumar, Gagan Soni, Sravan Kumar, Manish Shrivastava, Avinash K. Singh, Arbind K. Gangwar, Pawan Kumar, Mukul K. Sinha:
Transzaar: Empowers Human Translators. ICCSA (6) 2018: 1-8 - [c47]Aishwary Gupta, Akshay Pawale, Manish Shrivastava:
Deep Learning methods for Semantic Role Labeling in Indian Languages. ICON 2018: 59-68 - [c46]Faraz Faruqi, Manish Shrivastava:
"Is This A Joke?": A Large Humor Classification Dataset. ICON 2018: 104-109 - [c45]Amar Budhiraja, Raghu Reddy, Manish Shrivastava:
LWE: LDA refined word embeddings for duplicate bug report detection. ICSE (Companion Volume) 2018: 165-166 - [c44]Amar Budhiraja, Kartik Dutta, Raghu Reddy, Manish Shrivastava:
DWEN: deep word embedding network for duplicate bug report detection in software repositories. ICSE (Companion Volume) 2018: 193-194 - [c43]Amar Budhiraja, Kartik Dutta, Manish Shrivastava, Raghu Reddy:
Towards Word Embeddings for Improved Duplicate Bug Report Retrieval in Software Repositories. ICTIR 2018: 167-170 - [c42]Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava:
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. LREC 2018 - [c41]Deepanshu Vijay, Aditya Bohra, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava:
Corpus Creation and Emotion Prediction for Hindi-English Code-Mixed Social Media Text. NAACL-HLT (Student Research Workshop) 2018: 128-135 - [c40]Irshad Ahmad Bhat, Riyaz Ahmad Bhat, Manish Shrivastava, Dipti Misra Sharma:
Universal Dependency Parsing for Hindi-English Code-Switching. NAACL-HLT 2018: 987-998 - [c39]Prathyusha Danda, Brij Mohan Lal Srivastava, Manish Shrivastava:
Too Many Questions? What Can We Do? : Multiple Question Span Detection. PACLIC 2018 - [c38]Pranav Dhakras, Manish Shrivastava:
BoWLer: A neural approach to extractive text summarization. PACLIC 2018 - [i22]Rajat Singh, Nurendra Choudhary, Ishita Bindlish, Manish Shrivastava:
Neural Network Architecture for Credibility Assessment of Textual Claims. CoRR abs/1803.10547 (2018) - [i21]Rajat Singh, Nurendra Choudhary, Manish Shrivastava:
Automatic Normalization of Word Variations in Code-Mixed Social Media Text. CoRR abs/1804.00804 (2018) - [i20]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Emotions are Universal: Learning Sentiment Based Representations of Resource-Poor Languages using Siamese Networks. CoRR abs/1804.00805 (2018) - [i19]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Sentiment Analysis of Code-Mixed Languages leveraging Resource Rich Languages. CoRR abs/1804.00806 (2018) - [i18]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Contrastive Learning of Emoji-based Representations for Resource-Poor Languages. CoRR abs/1804.01855 (2018) - [i17]Irshad Ahmad Bhat, Riyaz Ahmad Bhat, Manish Shrivastava, Dipti Misra Sharma:
Universal Dependency Parsing for Hindi-English Code-switching. CoRR abs/1804.05868 (2018) - [i16]Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava:
An English-Hindi Code-Mixed Corpus: Stance Annotation and Baseline System. CoRR abs/1805.11868 (2018) - [i15]Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava:
A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection. CoRR abs/1805.11869 (2018) - [i14]Nurendra Choudhary, Rajat Singh, Manish Shrivastava:
Cross-Lingual Task-Specific Representation Learning for Text Classification in Resource Poor Languages. CoRR abs/1806.03590 (2018) - [i13]Sanjana Sharma, Saksham Agrawal, Manish Shrivastava:
Degree based Classification of Harmful Speech using Twitter Data. CoRR abs/1806.04197 (2018) - [i12]Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava:
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. CoRR abs/1806.05513 (2018) - [i11]Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava:
Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. CoRR abs/1806.05600 (2018) - [i10]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) - 2017
- [c37]Nausheen Fatma, Manoj Kumar Chinnakotla, Manish Shrivastava:
The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge Graphs. AAAI 2017: 1107-1113 - [c36]Syed Sarfaraz Akhtar, Arihant Gupta, Avijit Vajpayee, Arjit Srivastava, Manish Shrivastava:
Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems. LAW@ACL 2017: 91-94 - [c35]Khyathi Raghavi Chandu, Manoj Kumar Chinnakotla, Alan W. Black, Manish Shrivastava:
WebShodh: A Code Mixed Factoid Question Answering System for Web. CLEF 2017: 104-111 - [c34]Irshad Ahmad Bhat, Riyaz Ahmad Bhat, Manish Shrivastava, Dipti Misra Sharma:
Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data. EACL (2) 2017: 324-330 - [c33]Ratish Puduppully, Yue Zhang, Manish Shrivastava:
Transition-Based Deep Input Linearization. EACL (1) 2017: 643-654 - [c32]Arihant Gupta, Syed Sarfaraz Akhtar, Avijit Vajpayee, Arjit Srivastava, Madan Gopal Jhanwar, Manish Shrivastava:
Exploiting Morphological Regularities in Distributional Word Representations. EMNLP 2017: 292-297 - [c31]Harika Abburi, K. N. R. K. Raju Alluri, Anil Kumar Vuppala, Manish Shrivastava, Suryakanth V. Gangashetty:
Sentiment analysis using relative prosody features. IC3 2017: 1-5 - [c30]Priyank Gupta, Rashid Ahmad, Manish Shrivastava, Pawan Kumar, Mukul K. Sinha:
Improve performance of machine translation service using memcached. ICCSA (7) 2017: 1-8 - [c29]Vijay Prakash Dwivedi, Manish Shrivastava:
Beyond Word2Vec: Embedding Words and Phrases in Same Vector Space. ICON 2017: 205-211 - [c28]Prathyusha Danda, Prathyusha Jwalapuram, Manish Shrivastava:
End to End Dialog System for Telugu. ICON 2017: 265-272 - [c27]Purvanshi Mehta, Pruthwik Mishra, Vinayak Athavale, Manish Shrivastava, Dipti Misra Sharma:
Deep Neural Network based system for solving Arithmetic Word problems. IJCNLP (System Demonstrations) 2017: 65-68 - [c26]Prakhar Pandey, Vikram Pudi, Manish Shrivastava:
Injecting Word Embeddings with Another Language's Resource : An Application of Bilingual Embeddings. IJCNLP(2) 2017: 116-121 - [c25]Brij Mohan Lal Srivastava, Hari Krishna Vydana, Anil Kumar Vuppala, Manish Shrivastava:
Significance of neural phonotactic models for large-scale spoken language identification. IJCNN 2017: 2144-2151 - [c24]Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli, Hari Krishna Vydana, Bhargav Pulugandla, Manish Shrivastava, Anil Kumar Vuppala:
DNN-HMM Acoustic Modeling for Large Vocabulary Telugu Speech Recognition. MIKE 2017: 189-197 - [c23]Harika Abburi, Rajendra Prasath, Manish Shrivastava, Suryakanth V. Gangashetty:
Significance of DNN-AM for Multimodal Sentiment Analysis. MIKE 2017: 231-239 - [c22]Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava:
Classification Of Spanish Election Tweets (COSET) 2017 : Classifying Tweets Using Character and Word Level Features. IberEval@SEPLN 2017: 49-54 - [c21]Sahil Swami, Ankush Khandelwal, Manish Shrivastava, Syed Sarfaraz Akhtar:
LTRC IIITH at IBEREVAL 2017: Stance and Gender Detection in Tweets on Catalan Independence. IberEval@SEPLN 2017: 199-203 - [i9]Irshad Ahmad Bhat, Riyaz Ahmad Bhat, Manish Shrivastava, Dipti Misra Sharma:
Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data. CoRR abs/1703.10772 (2017) - [i8]Syed Sarfaraz Akhtar, Arihant Gupta, Avijit Vajpayee, Arjit Srivastava, Manish Shrivastava:
Unsupervised Morphological Expansion of Small Datasets for Improving Word Embeddings. CoRR abs/1711.05678 (2017) - [i7]Syed Sarfaraz Akhtar, Arihant Gupta, Avijit Vajpayee, Arjit Srivastava, Madan Gopal Jhawar, Manish Shrivastava:
An Unsupervised Approach for Mapping between Vector Spaces. CoRR abs/1711.05680 (2017) - [i6]Nausheen Fatma, Manoj Kumar Chinnakotla, Manish Shrivastava:
Relevance Scoring of Triples Using Ordinal Logistic Classification - The Celosia Triple Scorer at WSDM Cup 2017. CoRR abs/1712.08673 (2017) - 2016
- [c20]Arpita Das, Harish Yenala, Manoj Kumar Chinnakotla, Manish Shrivastava:
Together we stand: Siamese Networks for Similar Question Retrieval. ACL (1) 2016 - [c19]Sai Praneeth Suggu, Kushwanth Naga Goutham, Manoj Kumar Chinnakotla, Manish Shrivastava:
Hand in Glove: Deep Feature Fusion Network Architectures for Answer Quality Prediction in Community Question Answering. COLING 2016: 1429-1440 - [c18]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 - [c17]Irshad Ahmad Bhat, Manish Shrivastava, Riyaz Ahmad Bhat:
Code Mixed Entity Extraction in Indian Languages using Neural Networks. FIRE (Working Notes) 2016: 296-297 - [c16]Vinayak Athavale, Shreenivas Bharadwaj, Monik Pamecha, Ameya Prabhu, Manish Shrivastava:
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity. ICON 2016: 154-160 - [c15]Prathyusha Danda, Brij Mohan Lal Srivastava, Manish Shrivastava:
Vaidya: A Spoken Dialog System for Health Domain. ICON 2016: 161-166 - [c14]Harika Abburi, Rajendra Prasath, Manish Shrivastava, Suryakanth V. Gangashetty:
Multimodal Sentiment Analysis Using Deep Neural Networks. MIKE 2016: 58-65 - [c13]Sharada Prasanna Mohanty, Nehal J. Wani, Manish Shrivastava, Dipti Misra Sharma:
Kathaa: A Visual Programming Framework for NLP Applications. HLT-NAACL Demos 2016: 92-96 - [c12]Ratish Puduppully, Yue Zhang, Manish Shrivastava:
Transition-Based Syntactic Linearization with Lookahead Features. HLT-NAACL 2016: 488-493 - [c11]Arnav Sharma, Sakshi Gupta, Raveesh Motlani, Piyush Bansal, Manish Shrivastava, Radhika Mamidi, Dipti Misra Sharma:
Shallow Parsing Pipeline - Hindi-English Code-Mixed Social Media Text. HLT-NAACL 2016: 1340-1345 - [c10]Arpita Das, Manish Shrivastava, Manoj Kumar Chinnakotla:
Mirror on the Wall: Finding Similar Questions with Deep Structured Topic Modeling. PAKDD (2) 2016: 454-465 - [c9]Brij Mohan Lal Srivastava, Manish Shrivastava:
Articulatory Gesture Rich Representation Learning of Phonological Units in Low Resource Settings. SLSP 2016: 80-95 - [i5]Arnav Sharma, Sakshi Gupta, Raveesh Motlani, Piyush Bansal, Manish Shrivastava, Radhika Mamidi, Dipti Misra Sharma:
Shallow Parsing Pipeline for Hindi-English Code-Mixed Social Media Text. CoRR abs/1604.03136 (2016) - [i4]Sai Praneeth Suggu, Kushwanth N. Goutham, Manoj Kumar Chinnakotla, Manish Shrivastava:
Deep Feature Fusion Network for Answer Quality Prediction in Community Question Answering. CoRR abs/1606.07103 (2016) - [i3]Vinayak Athavale, Shreenivas Bharadwaj, Monik Pamecha, Ameya Prabhu, Manish Shrivastava:
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity. CoRR abs/1610.09756 (2016) - [i2]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) - 2015
- [c8]Avinash Kamineni, Nausheen Fatma, Arpita Das, Manish Shrivastava, Manoj Kumar Chinnakotla:
IIITH at BioASQ Challenge 2015 Task 3a: Extreme Classification of PubMed Articles using MeSH Labels. CLEF (Working Notes) 2015 - [c7]Harish Yenala, Avinash Kamineni, Manish Shrivastava, Manoj Kumar Chinnakotla:
IIITH at BioASQ Challange 2015 Task 3b: Bio-Medical Question Answering System. CLEF (Working Notes) 2015 - [c6]Khyathi Chandu Raghavi, Manoj Kumar Chinnakotla, Manish Shrivastava:
"Answer ka type kya he?": Learning to Classify Questions in Code-Mixed Language. WWW (Companion Volume) 2015: 853-858 - [i1]Brij Mohan Lal Srivastava, Hari Krishna Vydana, Anil Kumar Vuppala, Manish Shrivastava:
A language model based approach towards large scale and lightweight language identification systems. CoRR abs/1510.03602 (2015) - 2014
- [c5]Irshad Ahmad Bhat, Vandan Mujadia, Aniruddha Tammewar, Riyaz Ahmad Bhat, Manish Shrivastava:
IIIT-H System Submission for FIRE2014 Shared Task on Transliterated Search. FIRE 2014: 48-53 - [c4]Diptesh Kanojia, Manish Shrivastava, Raj Dabre, Pushpak Bhattacharyya:
PaCMan : Parallel Corpus Management Workbench. ICON 2014: 162-166 - [c3]Diptesh Kanojia, Pushpak Bhattacharyya, Raj Dabre, Siddhartha Gunti, Manish Shrivastava:
Do not do processing, when you can look up: Towards a Discrimination Net for WSD. GWC 2014: 194-200 - 2013
- [c2]Neha Gupta, Rajeev Kumar Singh, Manish Shrivastava:
Cluster formation through improved weighted clustering algorithm (IWCA) for mobile ad-hoc networks. WOCN 2013: 1-5
2000 – 2009
- 2006
- [c1]Smriti Singh, Kuhoo Gupta, Manish Shrivastava, Pushpak Bhattacharyya:
Morphological Richness Offsets Resource Demand - Experiences in Constructing a POS Tagger for Hindi. ACL 2006
Coauthor Index
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