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William Yang Wang

4 papers here

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

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
ORCID 0000-0002-0878-1257
same name
  • William Yang Wang — 10 papers, h 64
  • William Yang Wang — 3 papers

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

most citedHULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing

15 citations · 33 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2020★ 15 cited

HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing

Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin +1

Computation-intensive pretrained models have been taking the lead of many natural language processing benchmarks such as GLUE. However, energy efficiency in the process of model tr…

cs.CL2019★ 4 cited

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection

Wenhu Chen, Yu Su, Yilin Shen +3

With the rapid development in deep learning, deep neural networks have been widely adopted in many real-life natural language applications. Under deep neural networks, a pre-define…

cs.CL2019★ 12 cited

Sentence Embedding Alignment for Lifelong Relation Extraction

Hong Wang, Wenhan Xiong, Mo Yu +3

Conventional approaches to relation extraction usually require a fixed set of pre-defined relations. Such requirement is hard to meet in many real applications, especially when new…

cs.CL2019★ 2 cited

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing

Wenhan Xiong, Jiawei Wu, Deren Lei +4

Existing entity typing systems usually exploit the type hierarchy provided by knowledge base (KB) schema to model label correlations and thus improve the overall performance. Such…

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