Search Results for author: Keh-Yih Su

Found 26 papers, 3 papers with code

A Flexible and Extensible Framework for Multiple Answer Modes Question Answering

no code implementations ROCLING 2021 Cheng-Chung Fan, Chia-Chih Kuo, Shang-Bao Luo, Pei-Jun Liao, Kuang-Yu Chang, Chiao-Wei Hsu, Meng-Tse Wu, Shih-Hong Tsai, Tzu-Man Wu, Aleksandra Smolka, Chao-Chun Liang, Hsin-Min Wang, Kuan-Yu Chen, Yu Tsao, Keh-Yih Su

Only a few of them adopt several answer generation modules for providing different mechanisms; however, they either lack an aggregation mechanism to merge the answers from various modules, or are too complicated to be implemented with neural networks.

Answer Generation Question Answering

Mining Commonsense and Domain Knowledge from Math Word Problems

no code implementations ROCLING 2021 Shih-hung Tsai, Chao-Chun Liang, Hsin-Min Wang, Keh-Yih Su

We construct two math datasets and show the effectiveness of our algorithms that they can retrieve the required knowledge for problem-solving.

Nested Named Entity Recognition for Chinese Electronic Health Records with QA-based Sequence Labeling

no code implementations ROCLING 2021 Yu-Lun Chiang, Chih-Hao Lin, Cheng-Lung Sung, Keh-Yih Su

This proposed QASL approach parallelly asks a corresponding natural language question for each specific named entity type, and then identifies those associated NEs of the same specified type with the BIO tagging scheme.

named-entity-recognition Named Entity Recognition +2

Is Character Trigram Overlapping Ratio Still the Best Similarity Measure for Aligning Sentences in a Paraphrased Corpus?

no code implementations ROCLING 2022 Aleksandra Smolka, Hsin-Min Wang, Jason S. Chang, Keh-Yih Su

This paper studies if the character trigram is still a suitable similarity measure for the task of aligning sentences in a paragraph paraphrasing corpus.

Text Simplification

GlobalNER: Incorporating Non-local Information into Named Entity Recognition

no code implementations6 Mar 2023 Chiao-Wei Hsu, Keh-Yih Su

Nowadays, many Natural Language Processing (NLP) tasks see the demand for incorporating knowledge external to the local information to further improve the performance.

named-entity-recognition Named Entity Recognition +2

A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers

1 code implementation ACL 2020 Shen-yun Miao, Chao-Chun Liang, Keh-Yih Su

We present ASDiv (Academia Sinica Diverse MWP Dataset), a diverse (in terms of both language patterns and problem types) English math word problem (MWP) corpus for evaluating the capability of various MWP solvers.

Answering Chinese Elementary School Social Study Multiple Choice Questions

no code implementations26 Jun 2021 Daniel Lee, Chao-Chun Liang, Keh-Yih Su

We present a novel approach to answer the Chinese elementary school Social Study Multiple Choice questions.

Multiple-choice Reading Comprehension

Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving

1 code implementation ACL 2021 Shih-hung Tsai, Chao-Chun Liang, Hsin-Min Wang, Keh-Yih Su

With the recent advancements in deep learning, neural solvers have gained promising results in solving math word problems.

How Fast can BERT Learn Simple Natural Language Inference?

no code implementations EACL 2021 Yi-Chung Lin, Keh-Yih Su

This paper empirically studies whether BERT can really learn to conduct natural language inference (NLI) without utilizing hidden dataset bias; and how efficiently it can learn if it could.

Natural Language Inference

A Meaning-based Statistical English Math Word Problem Solver

1 code implementation NAACL 2018 Chao-Chun Liang, Yu-Shiang Wong, Yi-Chung Lin, Keh-Yih Su

We introduce MeSys, a meaning-based approach, for solving English math word problems (MWPs) via understanding and reasoning in this paper.

A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and Explanation

no code implementations COLING 2016 Chao-Chun Liang, Shih-Hong Tsai, Ting-Yun Chang, Yi-Chung Lin, Keh-Yih Su

This paper presents a meaning-based statistical math word problem (MWP) solver with understanding, reasoning and explanation.

Building A Case-based Semantic English-Chinese Parallel Treebank

no code implementations LREC 2016 Huaxing Shi, Tiejun Zhao, Keh-Yih Su

This Treebank is a part of a semantic corpus building project, which aims to build a semantic bilingual corpus annotated with syntactic, semantic cases and word senses.

Machine Translation POS +1

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