13 citations · 63 across the 14 of their papers we have counts for
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cs.NE2017
Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding
Shuai Tang, Hailin Jin, Chen Fang +2
Context plays an important role in human language understanding, thus it may also be useful for machines learning vector representations of language. In this paper, we explore an a…
cs.CL2017★ 6 cited
Trimming and Improving Skip-thought Vectors
Shuai Tang, Hailin Jin, Chen Fang +2
The skip-thought model has been proven to be effective at learning sentence representations and capturing sentence semantics. In this paper, we propose a suite of techniques to tri…
cs.CL2017★ 3 cited
Rethinking Skip-thought: A Neighborhood based Approach
Shuai Tang, Hailin Jin, Chen Fang +2
We study the skip-thought model with neighborhood information as weak supervision. More specifically, we propose a skip-thought neighbor model to consider the adjacent sentences as…