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Annotating Entailment Relations for Shortanswer Questions

2015-07-01 · WS 2015 7 · Simon Ostermann, Andrea Horbach, Manfred Pinkal

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Natural Language Inference Reading Comprehension

Annotating and analyzing the interactions between meaning relations

2019-08-01 · WS 2019 8 · Darina Gold, Venelin Kovatchev, Torsten Zesch

Pairs of sentences, phrases, or other text pieces can hold semantic relations such as paraphrasing, textual entailment, contradiction, specificity, and semantic similarity. These relations are usually studied in isolatio…

Natural Language Inference Semantic Similarity Semantic Textual Similarity Sentence+1

The University of Texas at Dallas HLTRI's Participation in EPIC-QA: Searching for Entailed Questions Revealing Novel Answer Nuggets

2021-12-28 · Maxwell Weinzierl, Sanda M. Harabagiu

The Epidemic Question Answering (EPIC-QA) track at the Text Analysis Conference (TAC) is an evaluation of methodologies for answering ad-hoc questions about the COVID-19 disease. This paper describes our participation in…

Information Retrieval Question Answering Retrieval

WARP-Text: a Web-Based Tool for Annotating Relationships between Pairs of Texts

2018-08-01 · COLING 2018 8 · Venelin Kovatchev, M. Ant{\`o}nia Mart{\'\i}, Maria Salam{\'o}

We present WARP-Text, an open-source web-based tool for annotating relationships between pairs of texts. WARP-Text supports multi-layer annotation and custom definitions of inter-textual and intra-textual relationships. …

Machine Translation Natural Language Inference Question Answering Text Simplification+1

Accurate and Nuanced Open-QA Evaluation Through Textual Entailment

2024-05-26 · Peiran Yao, Denilson Barbosa

Open-domain question answering (Open-QA) is a common task for evaluating large language models (LLMs). However, current Open-QA evaluations are criticized for the ambiguity in questions and the lack of semantic understan…

Natural Language Inference Open-Domain Question Answering Question Answering TriviaQA

Sieg at MEDIQA 2019: Multi-task Neural Ensemble for Biomedical Inference and Entailment

2019-08-01 · WS 2019 8 · Sai Abishek Bhaskar, Rashi Rungta, James Route, Eric Nyberg 외

This paper presents a multi-task learning approach to natural language inference (NLI) and question entailment (RQE) in the biomedical domain. Recognizing textual inference relations and question similarity can address t…

Multi-Task Learning Natural Language Inference Question Similarity