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ORCIDAshutosh Modi
Person information
- affiliation: Indian Institute of Technology Kanpur (IIT Kanpur)
- affiliation (former): Disney Research
- affiliation (PhD 2017): Saarland University, Saarbrücken, Germany
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2020 – today
- 2023
[c42]Abhinav Joshi, Areeb Ahmad, Umang Pandey, Ashutosh Modi:
From Scripts to RL Environments: Towards Imparting Commonsense Knowledge to RL Agents. AAMAS 2023: 2801-2803- [i40]Ashutosh Modi, Prathamesh Kalamkar, Saurabh Karn, Aman Tiwari, Abhinav Joshi, Sai Kiran Tanikella, Shouvik Kumar Guha, Sachin Malhan, Vivek Raghavan:
SemEval 2023 Task 6: LegalEval - Understanding Legal Texts. CoRR abs/2304.09548 (2023) - 2022
- [c41]Arnav Kapoor, Mudit Dhawan, Anmol Goel, T. H. Arjun, Akshala Bhatnagar, Vibhu Agrawal, Amul Agrawal, Arnab Bhattacharya, Ponnurangam Kumaraguru, Ashutosh Modi:
HLDC: Hindi Legal Documents Corpus. ACL (Findings) 2022: 3521-3536 - [c40]Ishika Singh, Gargi Singh, Ashutosh Modi:
Pre-trained Language Models as Prior Knowledge for Playing Text-based Games. AAMAS 2022: 1729-1731 - [c39]Abhinav Joshi, Ashwani Bhat, Pradeep S, Priya Gole, Shashwat Gupta, Shreyansh Agarwal, Ashutosh Modi:
CISLR: Corpus for Indian Sign Language Recognition. EMNLP 2022: 10357-10366 - [c38]Abhinav Joshi
, Naman Gupta, Jinang Shah, Binod Bhattarai, Ashutosh Modi, Danail Stoyanov:
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments. ICMI 2022: 83-93 - [c37]Prathamesh Kalamkar, Aman Tiwari, Astha Agarwal, Saurabh Karn, Smita Gupta, Vivek Raghavan, Ashutosh Modi:
Corpus for Automatic Structuring of Legal Documents. LREC 2022: 4420-4429 - [c36]Abhinav Joshi, Ashwani Bhat, Ayush Jain, Atin Vikram Singh, Ashutosh Modi:
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN. NAACL-HLT 2022: 4148-4164 - [i39]Prathamesh Kalamkar, Aman Tiwari, Astha Agarwal, Saurabh Karn, Smita Gupta, Vivek Raghavan, Ashutosh Modi:
Corpus for Automatic Structuring of Legal Documents. CoRR abs/2201.13125 (2022) - [i38]Arnav Kapoor, Mudit Dhawan, Anmol Goel, T. H. Arjun, Akshala Bhatnagar, Vibhu Agrawal, Amul Agrawal, Arnab Bhattacharya, Ponnurangam Kumaraguru, Ashutosh Modi:
HLDC: Hindi Legal Documents Corpus. CoRR abs/2204.00806 (2022) - [i37]Abhinav Joshi, Ashwani Bhat, Ayush Jain, Atin Vikram Singh, Ashutosh Modi:
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN. CoRR abs/2205.02455 (2022) - [i36]Abhinav Joshi, Naman Gupta, Jinang Shah, Binod Bhattarai, Ashutosh Modi, Danail Stoyanov:
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments. CoRR abs/2211.03587 (2022) - [i35]Ashwani Bhat, Ashutosh Modi:
Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations. CoRR abs/2211.03742 (2022) - 2021
- [c35]Gargi Singh, Dhanajit Brahma, Piyush Rai, Ashutosh Modi:
Fine-Grained Emotion Prediction by Modeling Emotion Definitions. ACII 2021: 1-8 - [c34]Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripabandhu Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, Ashutosh Modi:
ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation. ACL/IJCNLP (1) 2021: 4046-4062 - [c33]Vijit Malik, Ashwani Bhat, Ashutosh Modi:
Adv-OLM: Generating Textual Adversaries via OLM. EACL 2021: 841-849 - [c32]Abhishek Mittal, Ashutosh Modi:
ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction. SemEval@ACL/IJCNLP 2021: 175-182 - [c31]Archit Bansal, Abhay Kaushik, Ashutosh Modi:
IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection. SemEval@ACL/IJCNLP 2021: 211-219 - [c30]Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi, Ashutosh Modi:
Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness. SemEval@ACL/IJCNLP 2021: 290-296 - [c29]Aditya Jindal, Ankur Gupta, Jaya Srivastava, Preeti Menghwani, Vijit Malik, Vishesh Kaushik, Ashutosh Modi:
BreakingBERT@IITK at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables. SemEval@ACL/IJCNLP 2021: 327-337 - [c28]Harshit Kumar, Jinang Shah, Nidhi Hegde, Priyanshu Gupta, Vaibhav Jindal, Ashutosh Modi:
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes. SemEval@ACL/IJCNLP 2021: 438-444 - [c27]Shashank Shailabh, Sajal Chaurasia, Ashutosh Modi:
KnowGraph@IITK at SemEval-2021 Task 11: Building Knowledge Graph for NLP Research. SemEval@ACL/IJCNLP 2021: 467-477 - [c26]Rohan Gupta, Jay Mundra, Deepak Mahajan, Ashutosh Modi:
MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers. SemEval@ACL/IJCNLP 2021: 511-520 - [c25]Neil Rajiv Shirude, Sagnik Mukherjee, Tushar Shandhilya, Ananta Mukherjee, Ashutosh Modi:
IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task. SemEval@ACL/IJCNLP 2021: 541-547 - [c24]Akash Gangwar, Sabhay Jain, Shubham Sourav, Ashutosh Modi:
Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data. SemEval@ACL/IJCNLP 2021: 1232-1238 - [c23]Aaditya Singh, Shreeshail Hingane, Saim Wani, Ashutosh Modi:
An End-to-End Network for Emotion-Cause Pair Extraction. WASSA@EACL 2021: 84-91 - [i34]Vijit Malik, Ashwani Bhat, Ashutosh Modi:
Adv-OLM: Generating Textual Adversaries via OLM. CoRR abs/2101.08523 (2021) - [i33]Aaditya Singh, Shreeshail Hingane, Saim Wani, Ashutosh Modi:
An End-to-End Network for Emotion-Cause Pair Extraction. CoRR abs/2103.01544 (2021) - [i32]Aishwarya Gupta, Avik Pal, Bholeshwar Khurana, Lakshay Tyagi, Ashutosh Modi:
Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness. CoRR abs/2104.00933 (2021) - [i31]Neil Rajiv Shirude, Sagnik Mukherjee, Tushar Shandhilya, Ananta Mukherjee, Ashutosh Modi:
IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity Regression Task. CoRR abs/2104.01046 (2021) - [i30]Akash Gangwar, Sabhay Jain, Shubham Sourav, Ashutosh Modi:
Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data. CoRR abs/2104.01364 (2021) - [i29]Abhishek Mittal, Ashutosh Modi:
ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction. CoRR abs/2104.01563 (2021) - [i28]Archit Bansal, Abhay Kaushik, Ashutosh Modi:
IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection. CoRR abs/2104.01566 (2021) - [i27]Rohan Gupta, Jay Mundra, Deepak Mahajan, Ashutosh Modi:
MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers. CoRR abs/2104.01567 (2021) - [i26]Shashank Shailabh, Sajal Chaurasia, Ashutosh Modi:
KnowGraph@IITK at SemEval-2021 Task 11: Building KnowledgeGraph for NLP Research. CoRR abs/2104.01619 (2021) - [i25]Aditya Jindal, Ankur Gupta, Jaya Srivastava, Preeti Menghwani, Vijit Malik, Vishesh Kaushik, Ashutosh Modi:
BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with Tables. CoRR abs/2104.03071 (2021) - [i24]Pradip Swarnakar, Ashutosh Modi:
NLP for Climate Policy: Creating a Knowledge Platform for Holistic and Effective Climate Action. CoRR abs/2105.05621 (2021) - [i23]Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripabandhu Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, Ashutosh Modi:
ILDC for CJPE: Indian Legal Documents Corpus for Court JudgmentPrediction and Explanation. CoRR abs/2105.13562 (2021) - [i22]Ishika Singh, Gargi Singh, Ashutosh Modi:
Pre-trained Language Models as Prior Knowledge for Playing Text-based Games. CoRR abs/2107.08408 (2021) - [i21]Gargi Singh, Dhanajit Brahma, Piyush Rai, Ashutosh Modi:
Fine-Grained Emotion Prediction by Modeling Emotion Definitions. CoRR abs/2107.12135 (2021) - [i20]Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha, Shubham Kumar Nigam, Angshuman Hazarika, Arnab Bhattacharya, Ashutosh Modi:
Semantic Segmentation of Legal Documents via Rhetorical Roles. CoRR abs/2112.01836 (2021) - [i19]Harsh Agarwal, Keshav Bansal, Abhinav Joshi, Ashutosh Modi:
Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts. CoRR abs/2112.01938 (2021) - 2020
- [c22]Tushar Goswamy, Ishika Singh, Ahsan Barkati, Ashutosh Modi:
Adapting a Language Model for Controlled Affective Text Generation. COLING 2020: 2787-2801 - [c21]Anirudh Anil Ojha, Rohin Garg, Shashank Gupta, Ashutosh Modi:
IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals. SemEval@COLING 2020: 458-467 - [c20]Soumya Ranjan Dash, Sandeep Routray, Prateek Varshney, Ashutosh Modi:
CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE. SemEval@COLING 2020: 501-506 - [c19]Vishal Keswani, Sakshi Singh, Suryansh Agarwal, Ashutosh Modi:
IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes. SemEval@COLING 2020: 1135-1140 - [c18]Ayush Kumar, Harsh Agarwal, Keshav Bansal, Ashutosh Modi:
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text. SemEval@COLING 2020: 1221-1226 - [c17]Vipul Singhal, Sahil Dhull, Rishabh Agarwal, Ashutosh Modi:
IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection. SemEval@COLING 2020: 1665-1670 - [c16]Paramansh Singh, Siraj Sandhu, Subham Kumar, Ashutosh Modi:
newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations for Propaganda Classification. SemEval@COLING 2020: 1764-1770 - [c15]Karishma Laud, Jagriti Singh, Randeep Kumar Sahu, Ashutosh Modi:
problemConquero at SemEval-2020 Task 12: Transformer and Soft Label-based Approaches. SemEval@COLING 2020: 2123-2132 - [i18]Ayush Kumar, Harsh Agarwal, Keshav Bansal, Ashutosh Modi:
BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text. CoRR abs/2007.10819 (2020) - [i17]Vipul Singhal, Sahil Dhull, Rishabh Agarwal, Ashutosh Modi:
IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection. CoRR abs/2007.10820 (2020) - [i16]Vishal Keswani, Sakshi Singh, Suryansh Agarwal, Ashutosh Modi:
IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes. CoRR abs/2007.10822 (2020) - [i15]Paramansh Singh, Siraj Sandhu, Subham Kumar, Ashutosh Modi:
newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda Classification. CoRR abs/2007.10827 (2020) - [i14]Soumya Ranjan Dash, Sandeep Routray, Prateek Varshney, Ashutosh Modi:
CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE. CoRR abs/2007.10830 (2020) - [i13]Anirudh Anil Ojha, Rohin Garg, Shashank Gupta, Ashutosh Modi:
IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals. CoRR abs/2007.10866 (2020) - [i12]Karishma Laud, Jagriti Singh, Randeep Kumar Sahu, Ashutosh Modi:
problemConquero at SemEval-2020 Task 12: Transformer and Soft label-based approaches. CoRR abs/2007.10877 (2020) - [i11]Vishal Keswani, Sakshi Singh, Ashutosh Modi:
IITK at the FinSim Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings. CoRR abs/2007.11201 (2020) - [i10]Tushar Goswamy, Naishadh Parmar, Ayush Gupta, Vatsalya Tandon, Raunak Shah, Varun Goyal, Sanyog Gupta, Karishma Laud, Shivam Gupta, Sudhanshu Mishra, Ashutosh Modi:
AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia. CoRR abs/2007.15619 (2020) - [i9]Ishika Singh, Ahsan Barkati, Tushar Goswamy, Ashutosh Modi:
Adapting a Language Model for Controlled Affective Text Generation. CoRR abs/2011.04000 (2020)
2010 – 2019
- 2019
- [c14]Sepehr Janghorbani, Ashutosh Modi, Jakob Buhmann, Mubbasir Kapadia:
Domain Authoring Assistant for Intelligent Virtual Agent. AAMAS 2019: 104-112 - [c13]Pierre Colombo, Wojciech Witon, Ashutosh Modi, James Kennedy, Mubbasir Kapadia:
Affect-Driven Dialog Generation. NAACL-HLT (1) 2019: 3734-3743 - [c12]Pooja Chitkara, Ashutosh Modi, Pravalika Avvaru, Sepehr Janghorbani, Mubbasir Kapadia:
Topic Spotting using Hierarchical Networks with Self Attention. NAACL-HLT (1) 2019: 3755-3761 - [c11]Yeyao Zhang, Eleftheria Tsipidi, Sasha Schriber, Mubbasir Kapadia, Markus Gross, Ashutosh Modi:
Generating Animations from Screenplays. *SEM@NAACL-HLT 2019: 292-307 - [i8]Pierre Colombo, Wojciech Witon, Ashutosh Modi, James Kennedy, Mubbasir Kapadia:
Affect-Driven Dialog Generation. CoRR abs/1904.02793 (2019) - [i7]Pooja Chitkara, Ashutosh Modi, Pravalika Avvaru, Sepehr Janghorbani, Mubbasir Kapadia:
Topic Spotting using Hierarchical Networks with Self Attention. CoRR abs/1904.02815 (2019) - [i6]Sepehr Janghorbani, Ashutosh Modi, Jakob Buhmann, Mubbasir Kapadia:
Domain Authoring Assistant for Intelligent Virtual Agents. CoRR abs/1904.03266 (2019) - [i5]Yeyao Zhang, Eleftheria Tsipidi, Sasha Schriber, Mubbasir Kapadia, Markus H. Gross, Ashutosh Modi:
Generating Animations from Screenplays. CoRR abs/1904.05440 (2019) - 2018
- [c10]Simon Ostermann, Ashutosh Modi, Michael Roth, Stefan Thater, Manfred Pinkal:
MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge. LREC 2018 - [c9]Oliver Hellwig, Heinrich Hettrich, Ashutosh Modi, Manfred Pinkal:
Multi-layer Annotation of the Rigveda. LREC 2018 - [c8]Simon Ostermann, Michael Roth, Ashutosh Modi, Stefan Thater, Manfred Pinkal:
SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge. SemEval@NAACL-HLT 2018: 747-757 - [c7]Wojciech Witon, Pierre Colombo, Ashutosh Modi, Mubbasir Kapadia:
Disney at IEST 2018: Predicting Emotions using an Ensemble. WASSA@EMNLP 2018: 248-253 - [i4]Simon Ostermann, Ashutosh Modi, Michael Roth, Stefan Thater, Manfred Pinkal:
MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge. CoRR abs/1803.05223 (2018) - 2017
- [b1]Ashutosh Modi:
Modeling common sense knowledge via scripts. Saarland University, Saarbrücken, Germany, 2017 - [j1]Ashutosh Modi, Ivan Titov, Vera Demberg, Asad B. Sayeed, Manfred Pinkal:
Modelling Semantic Expectation: Using Script Knowledge for Referent Prediction. Trans. Assoc. Comput. Linguistics 5: 31-44 (2017) - [c6]Dai Quoc Nguyen, Dat Quoc Nguyen, Ashutosh Modi, Stefan Thater, Manfred Pinkal:
A Mixture Model for Learning Multi-Sense Word Embeddings. *SEM 2017: 121-127 - [i3]Ashutosh Modi, Ivan Titov, Vera Demberg, Asad B. Sayeed, Manfred Pinkal:
Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction. CoRR abs/1702.03121 (2017) - [i2]Ashutosh Modi, Tatjana Anikina, Simon Ostermann, Manfred Pinkal:
InScript: Narrative texts annotated with script information. CoRR abs/1703.05260 (2017) - [i1]Dai Quoc Nguyen, Dat Quoc Nguyen, Ashutosh Modi, Stefan Thater, Manfred Pinkal:
A Mixture Model for Learning Multi-Sense Word Embeddings. CoRR abs/1706.05111 (2017) - 2016
- [c5]Ashutosh Modi:
Event Embeddings for Semantic Script Modeling. CoNLL 2016: 75-83 - [c4]Ashutosh Modi, Tatjana Anikina, Simon Ostermann, Manfred Pinkal:
InScript: Narrative texts annotated with script information. LREC 2016 - 2015
- [c3]Rachel Rudinger, Vera Demberg, Ashutosh Modi, Benjamin Van Durme, Manfred Pinkal:
Learning to predict script events from domain-specific text. *SEM@NAACL-HLT 2015: 205-210 - 2014
- [c2]Ashutosh Modi, Ivan Titov:
Inducing Neural Models of Script Knowledge. CoNLL 2014: 49-57 - [c1]Ashutosh Modi, Ivan Titov:
Learning Semantic Script Knowledge with Event Embeddings. ICLR (Workshop) 2014
Coauthor Index
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