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20152019
most citedOrdered Neurons: Integrating Tree Structures into Recurrent Neural Networks

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

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8 papers · 1 filter

cs.CL2019★ 5 cited

Investigating Biases in Textual Entailment Datasets

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

The ability to understand logical relationships between sentences is an important task in language understanding. To aid in progress for this task, researchers have collected datas…

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…

cs.CL2017★ 22 cited

Neural Language Modeling by Jointly Learning Syntax and Lexicon

Yikang Shen, Zhouhan Lin, Chin-Wei Huang +1

We propose a neural language model capable of unsupervised syntactic structure induction. The model leverages the structure information to form better semantic representations and…

cs.CL2017★ 3 cited

Self-organized Hierarchical Softmax

Yikang Shen, Shawn Tan, Chrisopher Pal +1

We propose a new self-organizing hierarchical softmax formulation for neural-network-based language models over large vocabularies. Instead of using a predefined hierarchical struc…

cs.CL2015★ 13 cited

Word Embedding based Correlation Model for Question/Answer Matching

Yikang Shen, Wenge Rong, Nan Jiang +3

With the development of community based question answering (Q&A) services, a large scale of Q&A archives have been accumulated and are an important information and knowledge resour…