activity
20172024
most citedAn End-to-End Network for Emotion-Cause Pair Extraction

21 citations · 70 across the 34 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.CL20202 cited

Adapting a Language Model for Controlled Affective Text Generation

Ishika Singh, Ahsan Barkati, Tushar Goswamy +1

Human use language not just to convey information but also to express their inner feelings and mental states. In this work, we adapt the state-of-the-art language generation models…

cs.CL20201 cited

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

Vishal Keswani, Sakshi Singh, Ashutosh Modi

In this paper, we present our approaches for the FinSim 2020 shared task on "Learning Semantic Representations for the Financial Domain". The goal of this task is to classify finan…

cs.CL2020

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

Karishma Laud, Jagriti Singh, Randeep Kumar Sahu +1

In this paper, we present various systems submitted by our team problemConquero for SemEval-2020 Shared Task 12 Multilingual Offensive Language Identification in Social Media. We p…

cs.CL2020

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

Anirudh Anil Ojha, Rohin Garg, Shashank Gupta +1

This paper describes our efforts in tackling Task 5 of SemEval-2020. The task involved detecting a class of textual expressions known as counterfactuals and separating them into th…

cs.CL2020

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

Soumya Ranjan Dash, Sandeep Routray, Prateek Varshney +1

In this paper, we describe our system for Task 4 of SemEval 2020, which involves differentiating between natural language statements that confirm to common sense and those that do…

cs.CL2020

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

Paramansh Singh, Siraj Sandhu, Subham Kumar +1

This paper describes our submissions to SemEval 2020 Task 11: Detection of Propaganda Techniques in News Articles for each of the two subtasks of Span Identification and Technique…