Search Results for author: Shweta Yadav

Found 21 papers, 3 papers with code

Towards Summarizing Healthcare Questions in Low-Resource Setting

no code implementations COLING 2022 Shweta Yadav, Cornelia Caragea

The current advancement in abstractive document summarization depends to a large extent on a considerable amount of human-annotated datasets.

Data Augmentation Document Summarization

NLM at MEDIQA 2021: Transfer Learning-based Approaches for Consumer Question and Multi-Answer Summarization

no code implementations NAACL (BioNLP) 2021 Shweta Yadav, Mourad Sarrouti, Deepak Gupta

One of the cardinal tasks in achieving robust consumer health question answering systems is the question summarization and multi-document answer summarization.

Descriptive Question Answering +2

Towards Enhancing Health Coaching Dialogue in Low-Resource Settings

no code implementations COLING 2022 Yue Zhou, Barbara Di Eugenio, Brian Ziebart, Lisa Sharp, Bing Liu, Ben Gerber, Nikolaos Agadakos, Shweta Yadav

In this paper, we propose to build a dialogue system that converses with the patients, helps them create and accomplish specific goals, and can address their emotions with empathy.

Empathetic Response Generation Response Generation

Detecting Optimism in Tweets using Knowledge Distillation and Linguistic Analysis of Optimism

no code implementations LREC 2022 Ștefan Cobeli, Ioan-Bogdan Iordache, Shweta Yadav, Cornelia Caragea, Liviu P. Dinu, Dragoș Iliescu

Later, we devised a multi-task knowledge distillation framework to simultaneously learn the target task of optimism detection with the help of the auxiliary task of sentiment analysis and hate speech detection.

Hate Speech Detection Knowledge Distillation +1

Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction

1 code implementation Findings (ACL) 2021 Sriram Pingali, Shweta Yadav, Pratik Dutta, Sriparna Saha

The recent advancement of pre-trained Transformer models has propelled the development of effective text mining models across various biomedical tasks.

Relation Extraction

"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction

no code implementations21 Sep 2020 Shweta Yadav, Usha Lokala, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Francois Lamy, Amit Sheth

In this interdisciplinary study, we demonstrate the value of incorporating domain-specific knowledge in the learning process to identify the relationships between cannabis use and depression.

Assessing the Severity of Health States based on Social Media Posts

no code implementations21 Sep 2020 Shweta Yadav, Joy Prakash Sain, Amit Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya

The diverse NLU views demonstrate its effectiveness on both the tasks and as well as on the individual disease to assess a user's health.

Multiview Learning Natural Language Understanding

Relation Extraction from Biomedical and Clinical Text: Unified Multitask Learning Framework

no code implementations20 Sep 2020 Shweta Yadav, Srivatsa Ramesh, Sriparna Saha, Asif Ekbal

Towards this, we model the relation extraction problem in multi-task learning (MTL) framework and introduce for the first time the concept of structured self-attentive network complemented with the adversarial learning approach for the prediction of relationships from the biomedical and clinical text.

Multi-Task Learning Relation Extraction

Relation extraction between the clinical entities based on the shortest dependency path based LSTM

no code implementations24 Mar 2019 Dhanachandra Ningthoujam, Shweta Yadav, Pushpak Bhattacharyya, Asif Ekbal

In this paper, we present an efficient relation extraction system based on the shortest dependency path (SDP) generated from the dependency parsed tree of the sentence.

Relation Extraction Test

Leveraging Medical Sentiment to Understand Patients Health on Social Media

no code implementations30 Jul 2018 Shweta Yadav, Joy Sain, Amit Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya

A large percentage of this population is actively engaged in health social networks to share health-related information.

Feature Assisted bi-directional LSTM Model for Protein-Protein Interaction Identification from Biomedical Texts

no code implementations5 Jul 2018 Shweta Yadav, Ankit Kumar, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya

In this paper, we present a novel method based on deep bidirectional long short-term memory (B-LSTM) technique that exploits word sequences and dependency path related information to identify PPI information from text.

Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment

no code implementations NAACL 2018 Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, Amit Sheth

In this paper, we adopt a novel adversarial learning approach for our multi-task learning framework to learn the sentiment{'}s strengths expressed in a medical blog.

General Classification Multi-Task Learning +1

Cannot find the paper you are looking for? You can Submit a new open access paper.