Search Results for author: Sunil Mohan

Found 8 papers, 3 papers with code

A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes

1 code implementation LREC 2022 Dongxu Zhang, Sunil Mohan, Michaela Torkar, Andrew McCallum

We introduce ChemDisGene, a new dataset for training and evaluating multi-class multi-label document-level biomedical relation extraction models.

Document-level Relation Extraction

LSTM-RASA Based Agri Farm Assistant for Farmers

no code implementations7 Apr 2022 Narayana Darapaneni, Selvakumar Raj, Raghul V, Venkatesh Sivaraman, Sunil Mohan, Anwesh Reddy Paduri

The Enterprises are using such ChatBots to serve their customers in a better and efficient manner.


Low Resource Recognition and Linking of Biomedical Concepts from a Large Ontology

1 code implementation26 Jan 2021 Sunil Mohan, Rico Angell, Nick Monath, Andrew McCallum

Tools to explore scientific literature are essential for scientists, especially in biomedicine, where about a million new papers are published every year.

Clustering-based Inference for Biomedical Entity Linking

no code implementations NAACL 2021 Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum

In this paper, we introduce a model in which linking decisions can be made not merely by linking to a knowledge base entity but also by grouping multiple mentions together via clustering and jointly making linking predictions.

Entity Linking

MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts

1 code implementation AKBC 2019 Sunil Mohan, Donghui Li

This paper presents the formal release of MedMentions, a new manually annotated resource for the recognition of biomedical concepts.

Entity Linking named-entity-recognition +3

A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval

no code implementations26 Feb 2018 Sunil Mohan, Nicolas Fiorini, Sun Kim, Zhiyong Lu

Publications in the life sciences are characterized by a large technical vocabulary, with many lexical and semantic variations for expressing the same concept.

Biomedical Information Retrieval Information Retrieval +2

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