Search Results for author: Niyati Chhaya

Found 22 papers, 5 papers with code

CaM-Gen: Causally Aware Metric-Guided Text Generation

no code implementations Findings (ACL) 2022 Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya

We leverage causal inference techniques to identify causally significant aspects of a text that lead to the target metric and then explicitly guide generative models towards these by a feedback mechanism.

Causal Inference Text Generation

AUTOSUMM: Automatic Model Creation for Text Summarization

no code implementations EMNLP 2021 Sharmila Reddy Nangi, Atharv Tyagi, Jay Mundra, Sagnik Mukherjee, Raj Snehal, Niyati Chhaya, Aparna Garimella

Recent efforts to develop deep learning models for text generation tasks such as extractive and abstractive summarization have resulted in state-of-the-art performances on various datasets.

Abstractive Text Summarization Knowledge Distillation +2

WikiTalkEdit: A Dataset for modeling Editors' behaviors on Wikipedia

no code implementations NAACL 2021 Kokil Jaidka, Andrea Ceolin, Iknoor Singh, Niyati Chhaya, Lyle Ungar

We show how the data supports the classic understanding of style matching, where positive emotion and the use of first-person pronouns predict a positive emotional change in a Wikipedia contributor.

EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction

no code implementations EACL 2021 Bhanu Prakash Reddy Guda, Aparna Garimella, Niyati Chhaya

Affect preferences vary with user demographics, and tapping into demographic information provides important cues about the users' language preferences.

BIG-bench Machine Learning

Recognizing Emotion Cause in Conversations

1 code implementation22 Dec 2020 Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander Gelbukh, Rada Mihalcea

We address the problem of recognizing emotion cause in conversations, define two novel sub-tasks of this problem, and provide a corresponding dialogue-level dataset, along with strong Transformer-based baselines.

Causal Emotion Entailment Emotion Cause Extraction

An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation

1 code implementation19 Nov 2020 Soumyadeep Roy, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan, Niloy Ganguly

A consumer-dependent (business-to-consumer) organization tends to present itself as possessing a set of human qualities, which is termed as the brand personality of the company.

Marketing

CaM-Gen:Causally-aware Metric-guided Text Generation

no code implementations24 Oct 2020 Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya

We leverage causal inference techniques to identify causally significant aspects of a text that lead to the target metric and then explicitly guide generative models towards these by a feedback mechanism.

Causal Inference Text Generation

"To Target or Not to Target": Identification and Analysis of Abusive Text Using Ensemble of Classifiers

no code implementations5 Jun 2020 Gaurav Verma, Niyati Chhaya, Vishwa Vinay

With rising concern around abusive and hateful behavior on social media platforms, we present an ensemble learning method to identify and analyze the linguistic properties of such content.

BIG-bench Machine Learning Ensemble Learning

Affect Enriched Word Embeddings for News Information Retrieval

no code implementations4 Sep 2019 Tommaso Teofili, Niyati Chhaya

Distributed representations of words have shown to be useful to improve the effectiveness of IR systems in many sub-tasks like query expansion, retrieval and ranking.

Information Retrieval Retrieval +1

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

2 code implementations IJCNLP 2019 Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander Gelbukh

Emotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care, education, and human resources.

Emotion Classification Emotion Recognition in Conversation

Variational Fusion for Multimodal Sentiment Analysis

no code implementations13 Aug 2019 Navonil Majumder, Soujanya Poria, Gangeshwar Krishnamurthy, Niyati Chhaya, Rada Mihalcea, Alexander Gelbukh

Multimodal fusion is considered a key step in multimodal tasks such as sentiment analysis, emotion detection, question answering, and others.

Multimodal Sentiment Analysis Question Answering

Diachronic degradation of language models: Insights from social media

no code implementations ACL 2018 Kokil Jaidka, Niyati Chhaya, Lyle Ungar

It asks the question: given that the social media platform and its users remain the same, how is language changing over time?

Word Embeddings

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