Manjuan Duan


2023

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How Fragile is Relation Extraction under Entity Replacements?
Yiwei Wang | Bryan Hooi | Fei Wang | Yujun Cai | Yuxuan Liang | Wenxuan Zhou | Jing Tang | Manjuan Duan | Muhao Chen
Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)

Relation extraction (RE) aims to extract the relations between entity names from the textual context. In principle, textual context determines the ground-truth relation and the RE models should be able to correctly identify the relations reflected by the textual context. However, existing work has found that the RE models memorize the entity name patterns to make RE predictions while ignoring the textual context. This motivates us to raise the question: are RE models robust to the entity replacements? In this work, we operate the random and type-constrained entity replacements over the RE instances in TACRED and evaluate the state-of-the-art RE models under the entity replacements. We observe the 30% - 50% F1 score drops on the state-of-the-art RE models under entity replacements. These results suggest that we need more efforts to develop effective RE models robust to entity replacements. We release the source code at https://github.com/wangywUST/RobustRE.

2018

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Test Sets for Chinese Nonlocal Dependency Parsing
Manjuan Duan | William Schuler
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2017

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A Simple Method for Clarifying Sentences with Coordination Ambiguities
Michael White | Manjuan Duan | David L. King
Proceedings of the 1st Workshop on Explainable Computational Intelligence (XCI 2017)

2016

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Generating Disambiguating Paraphrases for Structurally Ambiguous Sentences
Manjuan Duan | Ethan Hill | Michael White
Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016)

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OCLSP at SemEval-2016 Task 9: Multilayered LSTM as a Neural Semantic Dependency Parser
Lifeng Jin | Manjuan Duan | William Schuler
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)

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OSU_CHGCG at SemEval-2016 Task 9 : Chinese Semantic Dependency Parsing with Generalized Categorial Grammar
Manjuan Duan | Lifeng Jin | William Schuler
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)

2015

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Parsing Chinese with a Generalized Categorial Grammar
Manjuan Duan | William Schuler
Proceedings of the Grammar Engineering Across Frameworks (GEAF) 2015 Workshop

2014

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That’s Not What I Meant! Using Parsers to Avoid Structural Ambiguities in Generated Text
Manjuan Duan | Michael White
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)