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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
- 2024
[j2]Gargi Singh
, Dhanajit Brahma, Piyush Rai, Ashutosh Modi:
Text-Based Fine-Grained Emotion Prediction. IEEE Trans. Affect. Comput. 15(2): 405-416 (2024)- [c62]Abhinav Joshi, Vaibhav Sharma, Ashutosh Modi:
CheckersGPT: Learning World Models through Language Modeling. ACL (Student Research Workshop) 2024: 576-588 - [c61]Abhinav Joshi, Romit Mohanty, Mounika Kanakanti, Andesha Mangla, Sudeep Choudhary, Monali Barbate, Ashutosh Modi:
iSign: A Benchmark for Indian Sign Language Processing. ACL (Findings) 2024: 10827-10844 - [c60]Abhinav Joshi, Shounak Paul, Akshat Sharma, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi:
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning. ACL (1) 2024: 11460-11499 - [c59]Sanjeet Singh, Shreya Gupta, Niralee Gupta, Naimish Sharma, Lokesh Srivastava, Vibhu Agarwal, Ashutosh Modi:
Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs. BioNLP@ACL 2024: 342-362 - [c58]Abhinav Joshi, Shaswati Saha, Divyaksh Shukla, Sriram Vema, Harsh Jhamtani, Manas Gaur, Ashutosh Modi:
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations. EMNLP (Findings) 2024: 12100-12119 - [c57]Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, Siddhant Singh, Alham Fikri Aji, Jacki O'Neill, Ashutosh Modi, Monojit Choudhury:
Towards Measuring and Modeling "Culture" in LLMs: A Survey. EMNLP 2024: 15763-15784 - [c56]Rahul Kumar, Amar Raja Dibbu, Shrutendra Harsola, Vignesh Subrahmaniam, Ashutosh Modi:
BookSQL: A Large Scale Text-to-SQL Dataset for Accounting Domain. NAACL-HLT 2024: 497-516 - [c55]Shreyasi Mandal, Ashutosh Modi:
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials. SemEval@NAACL 2024: 1397-1404 - [c54]Udvas Basak, Rajarshi Dutta, Shivam Pandey, Ashutosh Modi:
IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts. SemEval@NAACL 2024: 1443-1448 - [c53]Shreenaga Chikoti, Shrey Mehta, Ashutosh Modi:
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes. SemEval@NAACL 2024: 1779-1787 - [c52]Shubham Patel, Divyaksh Shukla, Ashutosh Modi:
IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings. SemEval@NAACL 2024: 1811-1820 - [i53]Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, Siddhant Singh, Ashutosh Dwivedi, Alham Fikri Aji, Jacki O'Neill, Ashutosh Modi, Monojit Choudhury:
Towards Measuring and Modeling "Culture" in LLMs: A Survey. CoRR abs/2403.15412 (2024) - [i52]Shreyasi Mandal, Ashutosh Modi:
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials. CoRR abs/2404.04510 (2024) - [i51]Udvas Basak, Rajarshi Dutta, Shivam Pandey, Ashutosh Modi:
IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts. CoRR abs/2404.04513 (2024) - [i50]Shreenaga Chikoti, Shrey Mehta, Ashutosh Modi:
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes. CoRR abs/2404.04520 (2024) - [i49]Shubham Patel, Divyaksh Shukla, Ashutosh Modi:
IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings. CoRR abs/2404.04525 (2024) - [i48]Rahul Kumar, Amar Raja Dibbu, Shrutendra Harsola, Vignesh Subrahmaniam, Ashutosh Modi:
BookSQL: A Large Scale Text-to-SQL Dataset for Accounting Domain. CoRR abs/2406.07860 (2024) - [i47]Abhinav Joshi, Shounak Paul, Akshat Sharma, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi:
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning. CoRR abs/2407.05399 (2024) - [i46]Abhinav Joshi, Romit Mohanty, Mounika Kanakanti, Andesha Mangla, Sudeep Choudhary, Monali Barbate, Ashutosh Modi:
iSign: A Benchmark for Indian Sign Language Processing. CoRR abs/2407.05404 (2024) - [i45]Sanjeet Singh, Shreya Gupta, Niralee Gupta, Naimish Sharma, Lokesh Srivastava, Vibhu Agarwal, Ashutosh Modi:
Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs. CoRR abs/2407.05887 (2024) - 2023
- [c51]Abhinav Joshi, Susmit Agrawal, Ashutosh Modi:
ISLTranslate: Dataset for Translating Indian Sign Language. ACL (Findings) 2023: 10466-10475 - [c50]Abhinav Joshi, Akshat Sharma, Sai Kiran Tanikella, Ashutosh Modi:
U-CREAT: Unsupervised Case Retrieval using Events extrAcTion. ACL (1) 2023: 13899-13915 - [c49]Abhinav Joshi, Areeb Ahmad, Umang Pandey, Ashutosh Modi:
From Scripts to RL Environments: Towards Imparting Commonsense Knowledge to RL Agents. AAMAS 2023: 2801-2803 - [c48]Ashutosh Dwivedi, Pradhyumna Lavania, Ashutosh Modi:
EtiCor: Corpus for Analyzing LLMs for Etiquettes. EMNLP 2023: 6921-6931 - [c47]Abhinav Joshi, Areeb Ahmad, Umang Pandey, Ashutosh Modi:
ScriptWorld: Text Based Environment for Learning Procedural Knowledge. IJCAI 2023: 5095-5103 - [c46]Tushar Verma, Atul Shree, Ashutosh Modi:
ASR for Low Resource and Multilingual Noisy Code-Mixed Speech. INTERSPEECH 2023: 3242-3246 - [c45]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. SemEval@ACL 2023: 2362-2374 - [i44]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) - [i43]Abhinav Joshi, Areeb Ahmad, Umang Pandey, Ashutosh Modi:
ScriptWorld: Text Based Environment For Learning Procedural Knowledge. CoRR abs/2307.03906 (2023) - [i42]Abhinav Joshi, Akshat Sharma, Sai Kiran Tanikella, Ashutosh Modi:
U-CREAT: Unsupervised Case Retrieval using Events extrAcTion. CoRR abs/2307.05260 (2023) - [i41]Abhinav Joshi, Susmit Agrawal, Ashutosh Modi:
ISLTranslate: Dataset for Translating Indian Sign Language. CoRR abs/2307.05440 (2023) - [i40]Ashutosh Dwivedi, Pradhyumna Lavania, Ashutosh Modi:
EtiCor: Corpus for Analyzing LLMs for Etiquettes. CoRR abs/2310.18974 (2023) - 2022
- [c44]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 - [c43]Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha, Angshuman Hazarika, Shubham Kumar Nigam, Arnab Bhattacharya, Ashutosh Modi:
Semantic Segmentation of Legal Documents via Rhetorical Roles. NLLP@EMNLP 2022: 153-171 - [c42]Ishika Singh, Gargi Singh, Ashutosh Modi:
Pre-trained Language Models as Prior Knowledge for Playing Text-based Games. AAMAS 2022: 1729-1731 - [c41]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 - [c40]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 - [c39]Mukund Chaudhry Chaudhry, Arman Kazmi, Shashank Jatav, Akhilesh Verma, Vishal Samal, Kristopher Paul, Ashutosh Modi:
Reducing Inference Time of Biomedical NER Tasks using Multi-Task Learning. ICON 2022: 116-122 - [c38]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 - [c37]Abhinav Joshi, Ashwani Bhat, Ayush Jain, Atin Vikram Singh, Ashutosh Modi:
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN. NAACL-HLT 2022: 4148-4164 - [c36]Ashwani Bhat, Ashutosh Modi:
Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations. TL4NLP 2022: 33-51 - [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, Tatiana 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, Tatiana 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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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-25 23:45 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
