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Tao Yang

7 papers hereh-index 11501 citations19 works total

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

author position
  • middle author6
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI2
  • cs.IR1
same name
  • Tao Yang — 26 papers
  • Tao Yang — 22 papers, h 25
  • Tao Yang — 18 papers, h 15
  • Tao Yang — 14 papers, h 9
  • Tao Yang — 14 papers, h 7
  • Tao Yang — 14 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
20182022
most citedTexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis

20 citations · 26 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2021

Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection

Zeyu You, Yichu Zhou, Tao Yang +1

Anomaly detection or outlier detection is a common task in various domains, which has attracted significant research efforts in recent years. Existing works mainly focus on structu…

cs.CL2021

Multiplex Graph Neural Network for Extractive Text Summarization

Baoyu Jing, Zeyu You, Tao Yang +2

Extractive text summarization aims at extracting the most representative sentences from a given document as its summary. To extract a good summary from a long text document, senten…

cs.CL2020★ 20 cited

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis

Haisong Zhang, Lemao Liu, Haiyun Jiang +14

This technique report introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities. Com…

cs.CL2019

Multi-Grained Named Entity Recognition

Congying Xia, Chenwei Zhang, Tao Yang +6

This paper presents a novel framework, MGNER, for Multi-Grained Named Entity Recognition where multiple entities or entity mentions in a sentence could be non-overlapping or totall…

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