What Do Recurrent Neural Network Grammars Learn About Syntax?

17 November 2016

Lingpeng Kong

Graham Neubig

Papers citing "What Do Recurrent Neural Network Grammars Learn About Syntax?"

26 / 26 papers shown

Title
Modeling structure-building in the brain with CCG parsing and large language models Miloš Stanojević Jonathan Brennan Donald Dunagan Mark Steedman John T. Hale 24 12 0 28 Oct 2022
Composition, Attention, or Both? Ryosuke Yoshida Yohei Oseki CoGe 29 0 0 24 Oct 2022
Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars Ryo Yoshida Hiroshi Noji Yohei Oseki 34 8 0 10 Sep 2021
Head-driven Phrase Structure Parsing in O( $n^3$ ) Time Complexity Zuchao Li Junru Zhou Hai Zhao Kevin Parnow 26 0 0 20 May 2021
Learning Sparse Prototypes for Text Generation Junxian He Taylor Berg-Kirkpatrick Graham Neubig 27 23 0 29 Jun 2020
Syntactic Structure Distillation Pretraining For Bidirectional Encoders A. Kuncoro Lingpeng Kong Daniel Fried Dani Yogatama Laura Rimell Chris Dyer Phil Blunsom 31 33 0 27 May 2020
Natural Language Processing Advancements By Deep Learning: A Survey A. Torfi Rouzbeh A. Shirvani Yaser Keneshloo Nader Tavvaf Edward A. Fox AI4CE VLM 83 215 0 02 Mar 2020
Neural Generative Rhetorical Structure Parsing Amandla Mabona Laura Rimell S. Clark Andreas Vlachos AIMat 29 22 0 24 Sep 2019
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? Miryam de Lhoneux Sara Stymne Joakim Nivre 12 3 0 18 Jul 2019
Generating Sentences from Disentangled Syntactic and Semantic Spaces Yu Bao Hao Zhou Shujian Huang Lei Li Lili Mou Olga Vechtomova Xinyu Dai Jiajun Chen DRL 18 107 0 06 Jul 2019
Head-Driven Phrase Structure Grammar Parsing on Penn Treebank Junru Zhou Zhao Hai 31 144 0 05 Jul 2019
Scalable Syntax-Aware Language Models Using Knowledge Distillation A. Kuncoro Chris Dyer Laura Rimell S. Clark Phil Blunsom 35 26 0 14 Jun 2019
Linguistic Knowledge and Transferability of Contextual Representations Nelson F. Liu Matt Gardner Yonatan Belinkov Matthew E. Peters Noah A. Smith 52 718 0 21 Mar 2019
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies Ethan Gotlieb Wilcox Peng Qian Richard Futrell Miguel Ballesteros R. Levy 26 55 0 03 Mar 2019
Recursive Subtree Composition in LSTM-Based Dependency Parsing Miryam de Lhoneux Miguel Ballesteros Joakim Nivre 14 13 0 26 Feb 2019
Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing Daniel Fernández-González Carlos Gómez-Rodríguez 25 7 0 25 Oct 2018
Semi-Supervised Sequence Modeling with Cross-View Training Kevin Clark Minh-Thang Luong Christopher D. Manning Quoc V. Le SSL 6 333 0 22 Sep 2018
Dissecting Contextual Word Embeddings: Architecture and Representation Matthew E. Peters Mark Neumann Luke Zettlemoyer Wen-tau Yih 33 425 0 27 Aug 2018
Finding Syntax in Human Encephalography with Beam Search John T. Hale Chris Dyer A. Kuncoro Jonathan Brennan 24 132 0 11 Jun 2018
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing Daniel Fried Dan Klein 34 27 0 08 Jun 2018
Distilling Knowledge for Search-based Structured Prediction Yijia Liu Wanxiang Che Huaipeng Zhao Bing Qin Ting Liu 24 22 0 29 May 2018
Scheduled Multi-Task Learning: From Syntax to Translation E. Kiperwasser Miguel Ballesteros 27 82 0 24 Apr 2018
Neural Language Modeling by Jointly Learning Syntax and Lexicon Songlin Yang Zhouhan Lin Chin-Wei Huang Aaron Courville 38 178 0 02 Nov 2017
Learning Language Representations for Typology Prediction Chaitanya Malaviya Graham Neubig Patrick Littell 35 108 0 29 Jul 2017
In-Order Transition-based Constituent Parsing Jiangming Liu Yue Zhang 21 65 0 17 Jul 2017
Joint POS Tagging and Dependency Parsing with Transition-based Neural Networks Liner Yang Meishan Zhang Yang Liu Nan Yu Maosong Sun Guohong Fu 29 26 0 25 Apr 2017