No Need to Pay Attention: Simple Recurrent Neural Networks Work! (for Answering "Simple" Questions)
Comments 7 pages, to appear in EMNLP 2017
期刊&会议
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Comments 7 pages, to appear in EMNLP 2017
Comments Accepted by EMNLP 2017
Comments to appear in EMNLP 2017 proceedings
Comments Accepted by EMNLP 2017
Comments EMNLP 2017
Comments In EMNLP 2017
Comments 9 pages, 2 figures, 5 tables, EMNLP, 2017, thematic fit, selectional preference, semantic role, DSMs, Distributional Semantic Models, Vector Space Models, VSMs, cosine, APSyn, similarity, prototype
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Comments 7 pages, EMNLP 2017
Comments Accepted at Building Linguistically Generalizable NLP Systems at EMNLP 2017
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Comments Accepted as a full paper at the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017)
Comments Accepted as a full paper at the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017)
Comments EMNLP Workshop RepEval 2017: The Second Workshop on Evaluating Vector Space Representations for NLP
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Comments 11 pages, accepted as long paper at EMNLP 2017
Comments Accepted as full paper in EMNLP 2017
Comments 6 pages (including references), EMNLP 2017 Demo paper
Comments Accepted at EMNLP 2017
Comments This paper is accepted by EMNLP 2017 Workshop on New Frontiers in Summarization
Comments 2nd Workshop on Structured Prediction for Natural Language Processing (at EMNLP '17)
Comments In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017
Comments EMNLP 2017 Demo
Comments In Conference on Empirical Methods in Natural Language Processing (EMNLP). Copenhagen, Denmark. September 2017
Comments EMNLP 2017 Camera Ready Paper
Comments 11 pages, EMNLP 2017
Comments EMNLP 2017
Comments EMNLP 2017, Workshop on Subword and Character Level Models in NLP