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researcher

Juan-Zi Li

28 papers hereh-index 5319.5k citations261 works total

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

author position
  • middle author20
  • last author5

Across the 25 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CL20
  • cs.AI5
  • cs.CV1
  • cs.LG1
  • cs.SI1
same name
  • Juan-Zi Li — 4 papers, h 4
  • Juan-Zi Li — 3 papers, h 2
  • Juan-Zi Li — 3 papers, h 5
  • Juan-Zi Li — 2 papers, h 4

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 citedNeural Collective Entity Linking

82 citations · 450 across the 27 of their papers we have counts for

collaborators
Showing 2018 · cs.CLShow all

4 papers · 2 filters

cs.CL2018★ 1 cited

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision

Yixin Cao, Lei Hou, Juanzi Li +4

Joint representation learning of words and entities benefits many NLP tasks, but has not been well explored in cross-lingual settings. In this paper, we propose a novel method for…

cs.CL2018★ 82 cited

Neural Collective Entity Linking

Yixin Cao, Lei Hou, Juanzi Li +1

Entity Linking aims to link entity mentions in texts to knowledge bases, and neural models have achieved recent success in this task. However, most existing methods rely on local c…

cs.CL2018★ 1 cited

Learning to Embed Sentences Using Attentive Recursive Trees

Jiaxin Shi, Lei Hou, Juanzi Li +2

Sentence embedding is an effective feature representation for most deep learning-based NLP tasks. One prevailing line of methods is using recursive latent tree-structured networks…

cs.CL2018★ 6 cited

DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization

Jiaxin Shi, Chen Liang, Lei Hou +3

We propose DeepChannel, a robust, data-efficient, and interpretable neural model for extractive document summarization. Given any document-summary pair, we estimate a salience scor…

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