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researcher

Lu Wang

11 papers here

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

author position
  • first author1
  • middle author2
  • last author6

Across the 9 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.CV3
  • cs.AI1
ORCID 0000-0001-6345-3873
same name
  • Lu Wang — 22 papers, h 20
  • Lu Wang — 11 papers, h 26
  • Lu Wang — 10 papers, h 15
  • Lu Wang — 7 papers, h 11
  • Lu Wang — 5 papers
  • Lu Wang — 4 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

activity
20172023
most citedA Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization

5 citations · 13 across the 11 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2022

Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-trained DNN-HMM-Based Acoustic-Phonetic Model

Nick J. C. Wang, Lu Wang, Yandan Sun +2

In spoken language understanding (SLU), what the user says is converted to his/her intent. Recent work on end-to-end SLU has shown that accuracy can be improved via pre-training ap…

cs.CL2022

Efficient Argument Structure Extraction with Transfer Learning and Active Learning

Xinyu Hua, Lu Wang

The automation of extracting argument structures faces a pair of challenges on (1) encoding long-term contexts to facilitate comprehensive understanding, and (2) improving data eff…

cs.CL2017★ 5 cited

A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization

Xinyu Hua, Lu Wang

We study the problem of domain adaptation for neural abstractive summarization. We make initial efforts in investigating what information can be transferred to a new domain. Experi…

cs.CL2017★ 3 cited

Joint Modeling of Content and Discourse Relations in Dialogues

Kechen Qin, Lu Wang, Joseph Kim

We present a joint modeling approach to identify salient discussion points in spoken meetings as well as to label the discourse relations between speaker turns. A variation of our…

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