Search Results for author: Chieh-Yang Huang

Found 13 papers, 4 papers with code

Distilling Salient Reviews with Zero Labels

no code implementations FEVER (ACL) 2022 Chieh-Yang Huang, Jinfeng Li, Nikita Bhutani, Alexander Whedon, Estevam Hruschka, Yoshi Suhara

To alleviate this scarcity problem, we develop an unsupervised method, ZL-Distiller, which leverages contextual language representations of the reviews and their distributional patterns to identify salient sentences about entities.

Question Answering

Semantic Frame Forecast

1 code implementation NAACL 2021 Chieh-Yang Huang, Ting-Hao 'Kenneth' Huang

In this paper, we formulate a long story as a sequence of "story blocks," where each block contains a fixed number of sentences (e. g., 10, 100, or 200).

Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent

1 code implementation EMNLP 2020 Yun-Hsuan Jen, Chieh-Yang Huang, Mei-Hua Chen, Ting-Hao 'Kenneth' Huang, Lun-Wei Ku

The results of the user study show that the proposed agent can find out example sentences that help students learn more easily and efficiently.

CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset

1 code implementation ACL 2020 Ting-Hao 'Kenneth' Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles

This paper introduces CODA-19, a human-annotated dataset that codes the Background, Purpose, Method, Finding/Contribution, and Other sections of 10, 966 English abstracts in the COVID-19 Open Research Dataset.

From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences

no code implementations WS 2019 Chieh-Yang Huang, Yi-Ting Huang, Mei-Hua Chen, Lun-Wei Ku

In this study, students learn to differentiate the confusing words by reading the example sentences, and then choose the appropriate word(s) to complete the sentence translation task.


Visual Story Post-Editing

1 code implementation ACL 2019 Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao 'Kenneth' Huang

We introduce the first dataset for human edits of machine-generated visual stories and explore how these collected edits may be used for the visual story post-editing task.

Visual Storytelling

Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications

no code implementations9 Feb 2017 Chieh-Yang Huang, Ting-Hao, Huang, Lun-Wei Ku

Instant messaging is one of the major channels of computer mediated communication.

Automatically Suggesting Example Sentences of Near-Synonyms for Language Learners

no code implementations COLING 2016 Chieh-Yang Huang, Nicole Peinelt, Lun-Wei Ku

In this paper, we propose GiveMeExample that ranks example sentences according to their capacity of demonstrating the differences among English and Chinese near-synonyms for language learners.

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