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.
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.
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.
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.
no code implementations • ROCLING 2022 • Shang-Bao Luo, Cheng-Chung Fan, Kuan-Yu Chen, Yu Tsao, Hsin-Min Wang, Keh-Yih Su
This paper also provides a baseline system and shows its performance on this dataset.
no code implementations • 6 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.
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.
no code implementations • 26 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.
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.
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.
no code implementations • COLING 2018 • Qianlong Du, Cheng-qing Zong, Keh-Yih Su
This paper proposes to perform natural language inference with Word-Pair-Dependency-Triplets.
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.
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.
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.