Discontinuous Combinatory Constituency Parsing Zhousi Chen and Mamoru Komachi Faculty of Systems Design Tokyo Metropolitan University 6-6 Asahigaoka, Hino, 东京 191-0065, 日本 {chen-zhousi@ed., komachi@}tmu.ac.jp Abstract We extend a pair of continuous combinator- based constituency parsers…
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Coreference Resolution through a seq2seq Transition-Based System
Coreference Resolution through a seq2seq Transition-Based System Bernd Bohnet1, Chris Alberti2, Michael Collins2 1Google Research, The Netherlands 2Google Research, 美国 {bohnetbd,chrisalberti,mjcollins}@google.com Abstract Most recent coreference resolution systems use search algorithms over possible spans to identify…
FeelingBlue: A Corpus for Understanding
FeelingBlue: A Corpus for Understanding the Emotional Connotation of Color in Context Amith Ananthram1 and Olivia Winn1 and Smaranda Muresan1,2 1Department of Computer Science, 哥伦比亚大学, USA 2Data Science Institute, 哥伦比亚大学, 美国 {amith,olivia,smara}@cs.columbia.edu Abstract…
Domain-Specific Word Embeddings with Structure Prediction
Domain-Specific Word Embeddings with Structure Prediction David Lassner1,2∗ Stephanie Brandl1,2,3∗ Anne Baillot4 Shinichi Nakajima1,2,5 1TU Berlin, Germany 2BIFOLD, Germany 3University of Copenhagen, Denmark 4Le Mans Universit´e, France 5RIKEN Center for AIP, 日本 {lassner@tu-berlin.de,brandl@di.ku.dk} ∗Authors contributed…
Improving Low-Resource Cross-lingual Parsing
Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization Thomas Effland Columbia University, USA teffland@cs.columbia.edu Michael Collins Google Research, USA mjcollins@google.com Abstract We present Expected Statistic Regulariza tion (ESR), a novel regularization technique that utilizes low-order…
Locally Typical Sampling
Locally Typical Sampling Clara Meister1 Tiago Pimentel2 Gian Wiher1 Ryan Cotterell1,2 1ETH Z¨urich, Switzerland 2University of Cambridge, UK clara.meister@inf.ethz.ch tp472@cam.ac.uk gian.wiher@inf.ethz.ch ryan.cotterell@inf.ethz.ch Abstract Today’s probabilistic language generators fall short when it comes to producing coherent…
蛋白石: 用于端到端的本体感知预训练语言模型
蛋白石: Ontology-Aware Pretrained Language Model for End-to-End Task-Oriented Dialogue Zhi Chen1, Yuncong Liu1, 陆晨1*, 苏珠2, Mengyue Wu1, Kai Yu1∗ 1X-LANCE Lab, Department of Computer Science and Engineering MoE Key Lab of Artificial Intelligence,…
用于语义解析的跨语言流形元学习
Meta-Learning a Cross-lingual Manifold for Semantic Parsing Tom Sherborne and Mirella Lapata Institute for Language, Cognition and Computation School of Informatics, 爱丁堡大学 10 Crichton Street, Edinburgh EH8 9AB, UK tom.sherborne@ed.ac.uk, mlap@inf.ed.ac.uk Abstract Localizing…
On the Role of Negative Precedent in Legal Outcome Prediction
On the Role of Negative Precedent in Legal Outcome Prediction Josef Valvoda Ryan Cotterell Simone Teufel University of Cambridge, UK ETH Z¨urich, 瑞士 {jv406,sht25}@cam.ac.uk ryan.cotterell@inf.ethz.ch Abstract Every legal case sets a precedent by develop- 英…