Search Results for author: Yannis Katsis

Found 11 papers, 5 papers with code

Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture

1 code implementation22 May 2023 Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James Hendler, Dakuo Wang

Our AL architecture leverages an explanation-generation model to produce explanations guided by human explanations, a prediction model that utilizes generated explanations toward prediction faithfully, and a novel data diversity-based AL sampling strategy that benefits from the explanation annotations.

Active Learning Decision Making +2

SPOT: Knowledge-Enhanced Language Representations for Information Extraction

no code implementations20 Aug 2022 Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian McAuley, Chun-Nan Hsu

To address these problems, we propose a new pre-trained model that learns representations of both entities and relationships from token spans and span pairs in the text respectively.

Relation Extraction

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 Relation Extraction

Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery

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

Discovering precise and interpretable 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.

Link Prediction

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.

Word Embeddings

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