activity
20182021
most citedRelation extraction between the clinical entities based on the shortest dependency path based LSTM

20 citations · 20 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CL2021

Question-aware Transformer Models for Consumer Health Question Summarization

Shweta Yadav, Deepak Gupta, Asma Ben Abacha +1

Searching for health information online is becoming customary for more and more consumers every day, which makes the need for efficient and reliable question answering systems more…

cs.CL2020

Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework

Shweta Yadav, Jainish Chauhan, Joy Prakash Sain +3

Existing studies on using social media for deriving mental health status of users focus on the depression detection task. However, for case management and referral to psychiatrists…

cs.CL2020

Medical Knowledge-enriched Textual Entailment Framework

Shweta Yadav, Vishal Pallagani, Amit Sheth

One of the cardinal tasks in achieving robust medical question answering systems is textual entailment. The existing approaches make use of an ensemble of pre-trained language mode…

cs.CL2020

Assessing the Severity of Health States based on Social Media Posts

Shweta Yadav, Joy Prakash Sain, Amit Sheth +3

The unprecedented growth of Internet users has resulted in an abundance of unstructured information on social media including health forums, where patients request health-related i…

cs.CL2020

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

Shweta Yadav, Srivatsa Ramesh, Sriparna Saha +1

To minimize the accelerating amount of time invested in the biomedical literature search, numerous approaches for automated knowledge extraction have been proposed. Relation extrac…

cs.CL201920 cited

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

Dhanachandra Ningthoujam, Shweta Yadav, Pushpak Bhattacharyya +1

Owing to the exponential rise in the electronic medical records, information extraction in this domain is becoming an important area of research in recent years. Relation extractio…