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W. Chang

14 papers hereh-index 222.8k citations54 works total

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

author position
  • middle author12
  • last author1

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • cs.CV1
  • cs.IR1
same name
  • W. Chang — 183 papers, h 14
  • W. Chang — 79 papers, h 24
  • W. Chang — 54 papers, h 34
  • W. Chang — 51 papers, h 15
  • W. Chang — 47 papers, h 12
  • W. Chang — 34 papers, h 35

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
20152021
most citedScoring Sentence Singletons and Pairs for Abstractive Summarization

8 citations · 32 across the 9 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019

Rethinking Self-Attention: Towards Interpretability in Neural Parsing

Khalil Mrini, Franck Dernoncourt, Quan Tran +3

Attention mechanisms have improved the performance of NLP tasks while allowing models to remain explainable. Self-attention is currently widely used, however interpretability is di…

cs.CL2019★ 4 cited

Analyzing Sentence Fusion in Abstractive Summarization

Logan Lebanoff, John Muchovej, Franck Dernoncourt +4

While recent work in abstractive summarization has resulted in higher scores in automatic metrics, there is little understanding on how these systems combine information taken from…

cs.CL2019★ 8 cited

Scoring Sentence Singletons and Pairs for Abstractive Summarization

Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt +4

When writing a summary, humans tend to choose content from one or two sentences and merge them into a single summary sentence. However, the mechanisms behind the selection of one o…

cs.IR2019★ 3 cited

Creative Procedural-Knowledge Extraction From Web Design Tutorials

Longqi Yang, Chen Fang, Hailin Jin +2

Complex design tasks often require performing diverse actions in a specific order. To (semi-)autonomously accomplish these tasks, applications need to understand and learn a wide r…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.