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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 29 1 Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale ... Sartran, Laurent; Barrett, Samuel; Kuncoro, Adhiguna. - : arXiv, 2022 BASE Show details 2 Green NLP panel ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Iryna; Arase, Yuki. - : Underline Science Inc., 2021 BASE Show details 3 A Generative Framework for Simultaneous Machine Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Blunsom, Phil; Miao, Yishu. - : Underline Science Inc., 2021 BASE Show details 4 Pretraining the Noisy Channel Model for Task-Oriented Dialogue ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Blunsom, Phil; Davis, Forrest. - : Underline Science Inc., 2021 BASE Show details 5 Counterfactual Data Augmentation for Neural Machine Translation ... NAACL 2021 2021; Blunsom, Phil; Kusner, Matt. - : Underline Science Inc., 2021 BASE Show details 6 Learning Robust and Multilingual Speech Representations ... Kawakami, Kazuya; Wang, Luyu; Dyer, Chris. - : arXiv, 2020 BASE Show details 7 Better Document-Level Machine Translation with Bayes’ Rule Yu, Lei; Sartran, Laurent; Stokowiec, Wojciech... In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 346-360 (2020) (2020) BASE Show details 8 Learning and Evaluating General Linguistic Intelligence ... Yogatama, Dani; d'Autume, Cyprien de Masson; Connor, Jerome. - : arXiv, 2019 BASE Show details 9 Learning to Discover, Ground and Use Words with Segmental Neural Language Models ... Kawakami, Kazuya; Dyer, Chris; Blunsom, Phil. - : arXiv, 2018 BASE Show details 10 From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042) Cho, Kyunghyun; Dyer, Chris; Blunsom, Phil. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2017. : Dagstuhl Reports. Dagstuhl Reports, Volume 7, Issue 1, 2017 BASE Show details 11 Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling ... Kawakami, Kazuya; Dyer, Chris; Blunsom, Phil. - : arXiv, 2017 Abstract: Fixed-vocabulary language models fail to account for one of the most characteristic statistical facts of natural language: the frequent creation and reuse of new word types. Although character-level language models offer a partial solution in that they can create word types not attested in the training corpus, they do not capture the "bursty" distribution of such words. In this paper, we augment a hierarchical LSTM language model that generates sequences of word tokens character by character with a caching mechanism that learns to reuse previously generated words. To validate our model we construct a new open-vocabulary language modeling corpus (the Multilingual Wikipedia Corpus, MWC) from comparable Wikipedia articles in 7 typologically diverse languages and demonstrate the effectiveness of our model across this range of languages. ... : ACL 2017 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1704.06986 https://arxiv.org/abs/1704.06986 BASE Hide details 12 From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042) ... Blunsom, Phil; Cho, Kyunghyun; Dyer, Chris. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany, 2017 BASE Show details 13 Grounded Language Learning in a Simulated 3D World ... Hermann, Karl Moritz; Hill, Felix; Green, Simon. - : arXiv, 2017 BASE Show details 14 Robust Incremental Neural Semantic Graph Parsing ... Buys, Jan; Blunsom, Phil. - : arXiv, 2017 BASE Show details 15 Learning to Compose Words into Sentences with Reinforcement Learning ... Yogatama, Dani; Blunsom, Phil; Dyer, Chris. - : arXiv, 2016 BASE Show details 16 Reasoning about Entailment with Neural Attention ... Rocktäschel, Tim; Grefenstette, Edward; Hermann, Karl Moritz. - : arXiv, 2015 BASE Show details 17 Tree Transduction Tools for cdec Matthews, Austin; Baltescu, Paul; Blunsom, Phil... In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2014) 102, 27-36 OLC Linguistik Show details 18 OxLM: A Neural Language Modelling Framework for Machine Translation Baltescu, Paul; Blunsom, Phil; Hoang, Hieu In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2014) 102, 81-92 OLC Linguistik Show details 19 A Fast and Simple Online Synchronous Context Free Grammar Extractor Baltescu, Paul; Blunsom, Phil In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2014) 102, 17-26 OLC Linguistik Show details 20 Learning Bilingual Word Representations by Marginalizing Alignments ... Kočiský, Tomáš; Hermann, Karl Moritz; Blunsom, Phil. - : arXiv, 2014 BASE Show details Page: 1 2

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