123 citations · 139 across the 4 of their papers we have counts for
Showing 2016 · cs.CLShow all
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cs.CL2016★ 13 cited
Attention-Based Convolutional Neural Network for Machine Comprehension
Wenpeng Yin, Sebastian Ebert, Hinrich Schütze
Understanding open-domain text is one of the primary challenges in natural language processing (NLP). Machine comprehension benchmarks evaluate the system's ability to understand t…
cs.CL2016★ 123 cited
Ultradense Word Embeddings by Orthogonal Transformation
Sascha Rothe, Sebastian Ebert, Hinrich Schütze
Embeddings are generic representations that are useful for many NLP tasks. In this paper, we introduce DENSIFIER, a method that learns an orthogonal transformation of the embedding…