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Chao-Wei Huang

National Taiwan University

24 papers hereh-index 11720 citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author11
  • middle author13

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CL22
  • cs.IR2
affiliations
  • National Taiwan University
same name
  • Chao-Wei Huang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedOverview of the Ninth Dialog System Technology Challenge: DSTC9

37 citations · 78 across the 21 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020★ 37 cited

Overview of the Ninth Dialog System Technology Challenge: DSTC9

Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro +36

This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for four distinct tasks in…

cs.CL2020★ 4 cited

Adapting Pretrained Transformer to Lattices for Spoken Language Understanding

Chao-Wei Huang, Yun-Nung Chen

Lattices are compact representations that encode multiple hypotheses, such as speech recognition results or different word segmentations. It is shown that encoding lattices as oppo…

cs.CL2020

Learning Spoken Language Representations with Neural Lattice Language Modeling

Chao-Wei Huang, Yun-Nung Chen

Pre-trained language models have achieved huge improvement on many NLP tasks. However, these methods are usually designed for written text, so they do not consider the properties o…

cs.CL2020★ 5 cited

Towards Unsupervised Language Understanding and Generation by Joint Dual Learning

Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen

In modular dialogue systems, natural language understanding (NLU) and natural language generation (NLG) are two critical components, where NLU extracts the semantics from the given…

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