Search Results for author: Zhengzhong Liang

Found 7 papers, 1 papers with code

Low Resource Causal Event Detection from Biomedical Literature

no code implementations BioNLP (ACL) 2022 Zhengzhong Liang, Enrique Noriega-Atala, Clayton Morrison, Mihai Surdeanu

Recognizing causal precedence relations among the chemical interactions in biomedical literature is crucial to understanding the underlying biological mechanisms.

Event Detection Knowledge Distillation +1

Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning Framework that Supports Diverse Compositional Reasoning

1 code implementation28 Apr 2023 Zhengzhong Liang, Zeyu Zhang, Steven Bethard, Mihai Surdeanu

Languages models have been successfully applied to a variety of reasoning tasks in NLP, yet the language models still suffer from compositional generalization.

Language Modelling

Better Retrieval May Not Lead to Better Question Answering

no code implementations7 May 2022 Zhengzhong Liang, Tushar Khot, Steven Bethard, Mihai Surdeanu, Ashish Sabharwal

Considerable progress has been made recently in open-domain question answering (QA) problems, which require Information Retrieval (IR) and Reading Comprehension (RC).

Information Retrieval Open-Domain Question Answering +3

Understanding the Polarity of Events in the Biomedical Literature: Deep Learning vs. Linguistically-informed Methods

no code implementations WS 2019 Enrique Noriega-Atala, Zhengzhong Liang, John Bachman, Clayton Morrison, Mihai Surdeanu

An important task in the machine reading of biochemical events expressed in biomedical texts is correctly reading the polarity, i. e., attributing whether the biochemical event is a promotion or an inhibition.

Reading Comprehension

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