Search Results for author: Yannis Katsis

Found 8 papers, 3 papers with code

BLAR: Biomedical Local Acronym Resolver

no code implementations NAACL (BioNLP) 2021 William Hogan, Yoshiki Vazquez Baeza, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Chun-Nan Hsu

NLP has emerged as an essential tool to extract knowledge from the exponentially increasing volumes of biomedical texts.

Named Entity Recognition

Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction

1 code implementation AKBC 2021 William Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Vazquez Baeza, Andrew Bartko, Chun-Nan Hsu

In this work, we propose a novel reformulation of MIL for biomedical relation extraction that abstractifies biomedical entities into their corresponding semantic types.

Relation Extraction

AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry

1 code implementation24 Jun 2021 Yannis Katsis, Saneem Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Mustafa Canim, Michael Glass, Alfio Gliozzo, Feifei Pan, Jaydeep Sen, Karthik Sankaranarayanan, Soumen Chakrabarti

Recent advances in transformers have enabled Table Question Answering (Table QA) systems to achieve high accuracy and SOTA results on open domain datasets like WikiTableQuestions and WikiSQL.

Question Answering Semantic Parsing

Theoretical Knowledge Graph Reasoning via Ending Anchored Rules

no code implementations12 Nov 2020 Canlin Zhang, Yannis Katsis, Yoshiki Vazquez-Baeza, Andrew Bartko, Ho-Cheol Kim, Chun-Nan Hsu

Discovering precise and specific rules from knowledge graphs is regarded as an essential challenge, which can improve the performances of many downstream tasks and even provide new ways to approach some Natural Language Processing research topics.

Knowledge Graph Completion Link Prediction

A Survey of the State of Explainable AI for Natural Language Processing

no code implementations Asian Chapter of the Association for Computational Linguistics 2020 Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen

Recent years have seen important advances in the quality of state-of-the-art models, but this has come at the expense of models becoming less interpretable.

NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction

no code implementations AKBC 2019 Dustin Wright, Yannis Katsis, Raghav Mehta, Chun-Nan Hsu

Biomedical knowledge bases are crucial in modern data-driven biomedical sciences, but auto-mated biomedical knowledge base construction remains challenging.

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