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Xin Li

CUHK

32 papers hereh-index 237.1k citations42 works total

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

author position
  • first author6
  • middle author26

Across the 32 of 32 papers where every author was matched, so the position is known.

fields
  • cs.CL27
  • cs.CV5
affiliations
  • CUHK
  • Alibaba
Homepage
same name
  • Xin Li — 66 papers, h 21
  • Xin Li — 42 papers, h 19
  • Xin Li — 36 papers, h 23
  • Xin Li — 26 papers, h 21
  • Xin Li — 26 papers, h 6
  • Xin Li — 25 papers, h 7

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
20182025
most citedA Unified Model for Opinion Target Extraction and Target Sentiment Prediction

86 citations · 388 across the 32 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018★ 9 cited

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification

Zheng Li, Ying Wei, Yu Zhang +3

Aspect-level sentiment classification (ASC) aims at identifying sentiment polarities towards aspects in a sentence, where the aspect can behave as a general Aspect Category (AC) or…

cs.CL2018★ 86 cited

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Xin Li, Lidong Bing, Piji Li +1

Target-based sentiment analysis involves opinion target extraction and target sentiment classification. However, most of the existing works usually studied one of these two sub-tas…

cs.CL2018★ 58 cited

Transformation Networks for Target-Oriented Sentiment Classification

Xin Li, Lidong Bing, Wai Lam +1

Target-oriented sentiment classification aims at classifying sentiment polarities over individual opinion targets in a sentence. RNN with attention seems a good fit for the charact…

cs.CL2018★ 32 cited

Aspect Term Extraction with History Attention and Selective Transformation

Xin Li, Lidong Bing, Piji Li +2

Aspect Term Extraction (ATE), a key sub-task in Aspect-Based Sentiment Analysis, aims to extract explicit aspect expressions from online user reviews. We present a new framework fo…

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