b'Ashutosh Modi'

research

∙ 04/02/2022

HLDC: Hindi Legal Documents Corpus

Many populous countries including India are burdened with a considerable...

Arnav Kapoor, et al. ∙

research

∙ 01/31/2022

Corpus for Automatic Structuring of Legal Documents

In populous countries, pending legal cases have been growing exponential...

Prathamesh Kalamkar, et al. ∙

research

∙ 12/03/2021

Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts

Emotion Recognition in Conversations (ERC) is an important and active re...

Harsh Agarwal, et al. ∙

research

∙ 12/03/2021

Semantic Segmentation of Legal Documents via Rhetorical Roles

Legal documents are unstructured, use legal jargon, and have considerabl...

Vijit Malik, et al. ∙

research

∙ 07/26/2021

Fine-Grained Emotion Prediction by Modeling Emotion Definitions

In this paper, we propose a new framework for fine-grained emotion predi...

Gargi Singh, et al. ∙

research

∙ 07/18/2021

Pre-trained Language Models as Prior Knowledge for Playing Text-based Games

Recently, text world games have been proposed to enable artificial agent...

Ishika Singh, et al. ∙

research

∙ 05/28/2021

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

An automated system that could assist a judge in predicting the outcome ...

Vijit Malik, et al. ∙

research

∙ 05/12/2021

NLP for Climate Policy: Creating a Knowledge Platform for Holistic and Effective Climate Action

Climate change is a burning issue of our time, with the Sustainable Deve...

Pradip Swarnakar, et al. ∙

research

∙ 04/07/2021

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

Recently, there has been an interest in factual verification and predict...

Aditya Jindal, et al. ∙

research

∙ 04/04/2021

KnowGraph@IITK at SemEval-2021 Task 11: Building KnowledgeGraph for NLP Research

Research in Natural Language Processing is making rapid advances, result...

Shashank Shailabh, et al. ∙

research

∙ 04/04/2021

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

In this work, we present our approach for solving the SemEval 2021 Task ...

Rohan Gupta, et al. ∙

research

∙ 04/04/2021

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

In this work, we present our approach and findings for SemEval-2021 Task...

Archit Bansal, et al. ∙

research

∙ 04/04/2021

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

This paper describes our system for Task 4 of SemEval-2021: Reading Comp...

Abhishek Mittal, et al. ∙

research

∙ 04/03/2021

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

This paper presents the system for SemEval 2021 Task 8 (MeasEval). MeasE...

Akash Gangwar, et al. ∙

research

∙ 04/02/2021

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

This paper describes our contribution to SemEval 2021 Task 1: Lexical Co...

Neil Rajiv Shirude, et al. ∙

research

∙ 04/02/2021

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

Humor and Offense are highly subjective due to multiple word senses, cul...

Aishwarya Gupta, et al. ∙

research

∙ 03/02/2021

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

The task of Emotion-Cause Pair Extraction (ECPE) aims to extract all pot...

Aaditya Singh, et al. ∙

research

∙ 01/21/2021

Adv-OLM: Generating Textual Adversaries via OLM

Deep learning models are susceptible to adversarial examples that have i...

Vijit Malik, et al. ∙

research

∙ 11/08/2020

Adapting a Language Model for Controlled Affective Text Generation

Human use language not just to convey information but also to express th...

Ishika Singh, et al. ∙

research

∙ 07/30/2020

AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia

This research paper proposes a COVID-19 monitoring and response system t...

Tushar Goswamy, et al. ∙

research

∙ 07/22/2020

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

In this paper, we present our approaches for the FinSim 2020 shared task...

Vishal Keswani, et al. ∙

research

∙ 07/21/2020

problemConquero at SemEval-2020 Task 12: Transformer and Soft label-based approaches

In this paper, we present various systems submitted by our team problemC...

Karishma Laud, et al. ∙

research

∙ 07/21/2020

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

This paper describes our efforts in tackling Task 5 of SemEval-2020. The...

Anirudh Anil Ojha, et al. ∙

research

∙ 07/21/2020

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

In this paper, we describe our system for Task 4 of SemEval 2020, which ...

Soumya Ranjan Dash, et al. ∙

research

∙ 07/21/2020

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

This paper describes our submissions to SemEval 2020 Task 11: Detection ...

Paramansh Singh, et al. ∙

research

∙ 07/21/2020

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

Social media is abundant in visual and textual information presented tog...

Vishal Keswani, et al. ∙

research

∙ 07/21/2020

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

This paper describes the system proposed for addressing the research pro...

Vipul Singhal, et al. ∙

research

∙ 04/10/2019

Generating Animations from Screenplays

Automatically generating animation from natural language text finds appl...

Yeyao Zhang, et al. ∙

research

∙ 04/05/2019

Domain Authoring Assistant for Intelligent Virtual Agents

Developing intelligent virtual characters has attracted a lot of attenti...

Sepehr Janghorbani, et al. ∙

research

∙ 04/04/2019

Topic Spotting using Hierarchical Networks with Self Attention

Success of deep learning techniques have renewed the interest in develop...

Pooja Chitkara, et al. ∙

research

∙ 04/04/2019

Affect-Driven Dialog Generation

The majority of current systems for end-to-end dialog generation focus o...

Pierre Colombo, et al. ∙

research

∙ 03/14/2018

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

We introduce a large dataset of narrative texts and questions about thes...

Simon Ostermann, et al. ∙

research

∙ 06/15/2017

A Mixture Model for Learning Multi-Sense Word Embeddings

Word embeddings are now a standard technique for inducing meaning repres...

Dai Quoc Nguyen, et al. ∙

research

∙ 03/15/2017

InScript: Narrative texts annotated with script information

This paper presents the InScript corpus (Narrative Texts Instantiating S...

Ashutosh Modi, et al. ∙

research

∙ 02/10/2017

Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction

Recent research in psycholinguistics has provided increasing evidence th...

Ashutosh Modi, et al. ∙

research

∙ 12/18/2013

Learning Semantic Script Knowledge with Event Embeddings

Induction of common sense knowledge about prototypical sequences of even...

Ashutosh Modi, et al. ∙

Ashutosh Modi

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