Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference
Comments EMNLP 2018 CRC and Update CAFE + ELMo result on SNLI
期刊&会议
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Comments EMNLP 2018 CRC and Update CAFE + ELMo result on SNLI
Comments To appear in the proceedings of the Analyzing and Interpreting Neural Networks for NLP workshop at EMNLP 2018
Comments Published as conference long paper at EMNLP 2018
Comments EMNLP 2018
Comments 12 pages including appendix and references. To be presented at EMNLP 2018
Comments Accepted at EMNLP 2018
Comments Published at EMNLP 2018
Comments Workshop on Subword and Character level models in NLP at EMNLP 2017. Source code available
Comments EMNLP 2018
Comments EMNLP 2018 short paper - camera ready. 8 pages
Comments EMNLP 2018, 11 pages. Datasets, models and codes: https://github.com/hunterhector/EventSalience
Journal ref EMNLP 2018: Conference on Empirical Methods in Natural Language Processing (The First Workshop on Fact Extraction and Verification)
Comments 7 pages, accepted by EMNLP 2018
Comments EMNLP
Comments EMNLP 2018
Journal ref W-NUT 2018: Workshop on Noisy User-generated Text (at EMNLP)
Comments Accepted at EMNLP 2018
Comments to appear in EMNLP 2018
Comments Accepted as an EMNLP 2018 Long Paper
Comments 11 pages, 10 figures, EMNLP 2018 long paper
Comments EMNLP 2018
Comments Accepted in EMNLP 2018
Comments EMNLP 2018
Comments This is the author's pre-print version of the work. It is posted here for your personal use, not for redistribution. Please cite the definitive version which will be published in Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI - ISBN: 978-1-948087-75-9
Comments EMNLP 2018
Comments accepted to the 9th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, part of the EMNLP 2018 Conference
Comments Accepted to the EMNLP workshop "Analyzing and interpreting neural networks for NLP"
Comments EMNLP 2018
Comments Accepted at EMNLP 2018
Comments 6 pages, EMNLP 2018