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Discovering the Compositional Structure of Vector Representations with Role Learning Networks

21 October 2019

Papers citing "Discovering the Compositional Structure of Vector Representations with Role Learning Networks"

21 / 71 papers shown

Title
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information Mario Giulianelli J. Harding Florian Mohnert Dieuwke Hupkes Willem H. Zuidema 66 192 0 24 Aug 2018
Deep RNNs Encode Soft Hierarchical Syntax Terra Blevins Omer Levy Luke Zettlemoyer 81 111 0 11 May 2018
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 353 897 0 03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,201 0 20 Apr 2018
SentEval: An Evaluation Toolkit for Universal Sentence Representations Alexis Conneau Douwe Kiela 100 642 0 14 Mar 2018
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks Yonatan Belinkov Lluís Màrquez i Villodre Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass 77 165 0 23 Jan 2018
Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure Dieuwke Hupkes Sara Veldhoen Willem H. Zuidema 78 280 0 28 Nov 2017
Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples Gail Weiss Yoav Goldberg Eran Yahav 59 186 0 27 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 803 132,454 0 12 Jun 2017
Question-Answering with Grammatically-Interpretable Representations Hamid Palangi P. Smolensky Xiaodong He Li Deng 61 54 0 23 May 2017
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data Alexis Conneau Douwe Kiela Holger Schwenk Loïc Barrault Antoine Bordes AI4TS SSL 238 2,105 0 05 May 2017
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies Tal Linzen Emmanuel Dupoux Yoav Goldberg 119 906 0 04 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 914 6,797 0 26 Sep 2016
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks Yossi Adi Einat Kermany Yonatan Belinkov Ofer Lavi Yoav Goldberg 81 546 0 15 Aug 2016
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 357 1,375 0 06 Jun 2016
A Fast Unified Model for Parsing and Sentence Understanding Samuel R. Bowman Jon Gauthier Abhinav Rastogi Raghav Gupta Christopher D. Manning Christopher Potts 65 314 0 19 Mar 2016
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 335 4,297 0 21 Aug 2015
Skip-Thought Vectors Ryan Kiros Yukun Zhu Ruslan Salakhutdinov R. Zemel Antonio Torralba R. Urtasun Sanja Fidler SSL 224 2,412 0 22 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 448 20,606 0 10 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,396 0 03 Jun 2014