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Simple Question Answering by Attentive Convolutional Neural Network
Wenpeng Yin, Mo Yu, Bing Xiang +2
This work focuses on answering single-relation factoid questions over Freebase. Each question can acquire the answer from a single fact of form (subject, predicate, object) in Free…
Discriminative Phrase Embedding for Paraphrase Identification
Wenpeng Yin, Hinrich Schütze
This work, concerning paraphrase identification task, on one hand contributes to expanding deep learning embeddings to include continuous and discontinuous linguistic phrases. On t…
Online Updating of Word Representations for Part-of-Speech Tagging
Wenpeng Yin, Tobias Schnabel, Hinrich Schütze
We propose online unsupervised domain adaptation (DA), which is performed incrementally as data comes in and is applicable when batch DA is not possible. In a part-of-speech (POS)…
Why and How to Pay Different Attention to Phrase Alignments of Different Intensities
Wenpeng Yin, Hinrich Schütze
This work studies comparatively two typical sentence pair classification tasks: textual entailment (TE) and answer selection (AS), observing that phrase alignments of different int…
Multichannel Variable-Size Convolution for Sentence Classification
Wenpeng Yin, Hinrich Schütze
We propose MVCNN, a convolution neural network (CNN) architecture for sentence classification. It (i) combines diverse versions of pretrained word embeddings and (ii) extracts feat…
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…