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Yikang Shen

8 papers hereh-index 81k citations15 works total

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

author position
  • first author6
  • middle author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL8
same name
  • Yikang Shen — 23 papers, h 18
  • Yikang Shen — 16 papers, h 10
  • Yikang Shen — 6 papers, h 5
  • Yikang Shen — 6 papers, h 7
  • Yikang Shen — 3 papers, h 3
  • Yikang Shen — 2 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
20152019
most citedOrdered Neurons: Integrating Tree Structures into Recurrent Neural Networks

77 citations · 146 across the 8 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018★ 77 cited

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks

Yikang Shen, Shawn Tan, Alessandro Sordoni +1

Natural language is hierarchically structured: smaller units (e.g., phrases) are nested within larger units (e.g., clauses). When a larger constituent ends, all of the smaller cons…

cs.CL2018★ 24 cited

BanditSum: Extractive Summarization as a Contextual Bandit

Yue Dong, Yikang Shen, Eric Crawford +2

In this work, we propose a novel method for training neural networks to perform single-document extractive summarization without heuristically-generated extractive labels. We call…

cs.CL2018★ 2 cited

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance

Yikang Shen, Zhouhan Lin, Athul Paul Jacob +3

In this work, we propose a novel constituency parsing scheme. The model predicts a vector of real-valued scalars, named syntactic distances, for each split position in the input se…

cs.CL2018

Generating Contradictory, Neutral, and Entailing Sentences

Yikang Shen, Shawn Tan, Chin-Wei Huang +1

Learning distributed sentence representations remains an interesting problem in the field of Natural Language Processing (NLP). We want to learn a model that approximates the condi…

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