895 citations · 2.1k across the 169 of their papers we have counts for
Showing 2015Show all
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cs.CL2015★ 54 cited
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
Wenpeng Yin, Hinrich Schütze, Bing Xiang +1
How to model a pair of sentences is a critical issue in many NLP tasks such as answer selection (AS), paraphrase identification (PI) and textual entailment (TE). Most prior work (i…
cs.CL2015★ 7 cited
Learning Meta-Embeddings by Using Ensembles of Embedding Sets
Wenpeng Yin, Hinrich Schütze
Word embeddings -- distributed representations of words -- in deep learning are beneficial for many tasks in natural language processing (NLP). However, different embedding sets va…
cs.CL2015★ 206 cited
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes
Sascha Rothe, Hinrich Schütze
We present \textit{AutoExtend}, a system to learn embeddings for synsets and lexemes. It is flexible in that it can take any word embeddings as input and does not need an additiona…