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20182023
most citedNeural Collective Entity Linking

82 citations · 205 across the 20 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

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.AI2018★ 8 cited

Differentiating Concepts and Instances for Knowledge Graph Embedding

Xin Lv, Lei Hou, Juanzi Li +1

Concepts, which represent a group of different instances sharing common properties, are essential information in knowledge representation. Most conventional knowledge embedding met…

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…