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Sujian Li

31 papers hereh-index 437.1k citations173 works total

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

author position
  • middle author18
  • last author13

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CL27
  • cs.IR2
  • cs.AI1
  • cs.CV1
same name
  • Sujian Li — 29 papers, h 21
  • Sujian Li — 19 papers, h 11
  • Sujian Li — 6 papers, h 4
  • Sujian Li — 3 papers, h 4
  • Sujian Li — 3 papers, h 2
  • Sujian Li — 3 papers, h 2

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
20122023
most citedFaithful to the Original: Fact Aware Neural Abstractive Summarization

174 citations · 674 across the 31 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.IR2017★ 174 cited

Faithful to the Original: Fact Aware Neural Abstractive Summarization

Ziqiang Cao, Furu Wei, Wenjie Li +1

Unlike extractive summarization, abstractive summarization has to fuse different parts of the source text, which inclines to create fake facts. Our preliminary study reveals nearly…

cs.CL2017

Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning

Jingjing Xu, Xu Sun, Sujian Li +2

In recent years, neural networks have proven to be effective in Chinese word segmentation. However, this promising performance relies on large-scale training data. Neural networks…

cs.AI2017★ 128 cited

Interactive Attention Networks for Aspect-Level Sentiment Classification

Dehong Ma, Sujian Li, Xiaodong Zhang +1

Aspect-level sentiment classification aims at identifying the sentiment polarity of specific target in its context. Previous approaches have realized the importance of targets in s…

cs.CL2017★ 13 cited

Order-Planning Neural Text Generation From Structured Data

Lei Sha, Lili Mou, Tianyu Liu +4

Generating texts from structured data (e.g., a table) is important for various natural language processing tasks such as question answering and dialog systems. In recent studies, r…

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