NLPExplorer

Ashutosh Modi

Number of Papers:- 35

Number of Citations:- 50

First ACL Paper:- 2012

Latest ACL Paper:- 2021

Venues:-

EMNLP

CoNLL

EACL

FinNLP

WASSA

SemEval

LREC

NAACL

IJCNLP

COLING

*SEMEVAL

ACL

TACL

Co-Authors:-

Similar Authors:-

An End-to-End Network for Emotion-Cause Pair Extraction EACL WASSA

Aaditya Singh | Shreeshail Hingane | Saim Wani | Ashutosh Modi |

Adv-OLM: Generating Textual Adversaries via OLM EACL

Vijit Malik | Ashwani Bhat | Ashutosh Modi |

ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation ACL IJCNLP

IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection ACL IJCNLP SemEval

Archit Bansal | Abhay Kaushik | Ashutosh Modi |

KnowGraph@IITK at SemEval-2021 Task 11: Building Knowledge Graph for NLP Research ACL IJCNLP SemEval

Shashank Shailabh | Sajal Chaurasia | Ashutosh Modi |

Humor@IITK at SemEval-2021 Task 7: Large Language Models for Quantifying Humor and Offensiveness ACL IJCNLP SemEval

BreakingBERT@IITK at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables ACL IJCNLP SemEval

ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction ACL IJCNLP SemEval

Abhishek Mittal | Ashutosh Modi |

IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes ACL IJCNLP SemEval

Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data ACL IJCNLP SemEval

Akash Gangwar | Sabhay Jain | Shubham Sourav | Ashutosh Modi |

MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers ACL IJCNLP SemEval

Rohan Gupta | Jay Mundra | Deepak Mahajan | Ashutosh Modi |

IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task ACL IJCNLP SemEval

IITK at the FinSim Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings COLING FinNLP

Vishal Keswani | Sakshi Singh | Ashutosh Modi |

BAKSA at SemEval-2020 Task 9: Bolstering CNN with Self-Attention for Sentiment Analysis of Code Mixed Text COLING SemEval

Ayush Kumar | Harsh Agarwal | Keshav Bansal | Ashutosh Modi |

newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations for Propaganda Classification COLING SemEval

Paramansh Singh | Siraj Sandhu | Subham Kumar | Ashutosh Modi |

IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals COLING SemEval

Anirudh Anil Ojha | Rohin Garg | Shashank Gupta | Ashutosh Modi |

CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE COLING SemEval

Soumya Ranjan Dash | Sandeep Routray | Prateek Varshney | Ashutosh Modi |

Adapting a Language Model for Controlled Affective Text Generation COLING

Tushar Goswamy | Ishika Singh | Ahsan Barkati | Ashutosh Modi |

IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection COLING SemEval

Vipul Singhal | Sahil Dhull | Rishabh Agarwal | Ashutosh Modi |

problemConquero at SemEval-2020 Task 12: Transformer and Soft Label-based Approaches COLING SemEval

Karishma Laud | Jagriti Singh | Randeep Kumar Sahu | Ashutosh Modi |

IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes COLING SemEval

Vishal Keswani | Sakshi Singh | Suryansh Agarwal | Ashutosh Modi |

Affect-Driven Dialog Generation NAACL

Topic Spotting using Hierarchical Networks with Self Attention NAACL

Generating Animations from Screenplays *SEMEVAL

Multi-layer Annotation of the Rigveda LREC

Oliver Hellwig | Heinrich Hettrich | Ashutosh Modi | Manfred Pinkal |

MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge LREC

SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge *SEMEVAL

Disney at IEST 2018: Predicting Emotions using an Ensemble EMNLP WS

Wojciech Witon | Pierre Colombo | Ashutosh Modi | Mubbasir Kapadia |

Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction TACL

A Mixture Model for Learning Multi-Sense Word Embeddings *SEMEVAL

Event Embeddings for Semantic Script Modeling CoNLL

Ashutosh Modi |

InScript: Narrative texts annotated with script information LREC

Ashutosh Modi | Tatjana Anikina | Simon Ostermann | Manfred Pinkal |

Learning to predict script events from domain-specific text *SEMEVAL

Inducing Neural Models of Script Knowledge CoNLL WS

Ashutosh Modi | Ivan Titov |

Unsupervised Induction of Frame-Semantic Representations NAACL WS

Ashutosh Modi | Ivan Titov | Alexandre Klementiev |