17 citations · 45 across the 8 of their papers we have counts for
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3 papers · 1 filter
cs.CL2017★ 7 cited
Context Aware Document Embedding
Zhaocheng Zhu, Junfeng Hu
Recently, doc2vec has achieved excellent results in different tasks. In this paper, we present a context aware variant of doc2vec. We introduce a novel weight estimating mechanism…
cs.CL2017
Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment
Zhipeng Xie, Junfeng Hu
Recognizing textual entailment is a fundamental task in a variety of text mining or natural language processing applications. This paper proposes a simple neural model for RTE prob…
cs.CL2017★ 1 cited
Real Multi-Sense or Pseudo Multi-Sense: An Approach to Improve Word Representation
Haoyue Shi, Caihua Li, Junfeng Hu
Previous researches have shown that learning multiple representations for polysemous words can improve the performance of word embeddings on many tasks. However, this leads to anot…