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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 3 Hits 1 – 20 of 41 1 Universals of word order reflect optimization of grammars for efficient communication. Hahn, Michael; Jurafsky, Dan; Futrell, Richard In: Proceedings of the National Academy of Sciences of the United States of America, vol 117, iss 5 (2020) BASE Show details 2 The Design of Online Environments (Political Hashtags) and the Quality of Democratic Discourse At-Scale Rho, Eugenia Ha Rim. - : eScholarship, University of California, 2020 BASE Show details 3 ПРИМЕНЕНИЕ ТЕХНОЛОГИИ WORD2VEC В ЗАДАЧЕ ВЫДЕЛЕНИЯ ИНВЕРТОРОВ ТОНАЛЬНОСТИ ... : APPLYING WORD2VEC TECHNOLOGY TO SHIFTER EXTRACTION TASK ... Полозов, И.К.; Волкова, И.А.. - : Международный научно-исследовательский журнал, 2020 BASE Show details 4 Living Machines atypical animacy dataset ... : British Library, 2020 BASE Show details 5 A Corpus Approach to Roman Law Based on Justinian’s Digest ... Ribary, Marton; McGillivray, Barbara. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 6 Machine learning methods for vector-based compositional semantics ... Maillard, Jean. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 7 Learning meaning representations for text generation with deep generative models ... Cao, Kris. - : Apollo - University of Cambridge Repository, 2020 Abstract: This thesis explores conditioning a language generation model with auxiliary variables. By doing so, we hope to be able to better control the output of the language generator. We explore several kinds of auxiliary variables in this thesis, from unstructured continuous, to discrete, to structured discrete auxiliary variables, and evaluate their advantages and disadvantages. We consider three primary axes of variation: how interpretable the auxiliary variables are, how much control they provide over the generated text, and whether the variables can be induced from unlabelled data. The latter consideration is particularly interesting: if we can show that induced latent variables correspond to the semantics of the generated utterance, then by manipulating the variables, we have fine-grained control over the meaning of the generated utterance, thereby learning simple meaning representations for text generation. We investigate three language generation tasks: open domain conversational response generation, ... Keyword: computational linguistics; machine learning; natural language processing URL: https://dx.doi.org/10.17863/cam.52382 https://www.repository.cam.ac.uk/handle/1810/305297 BASE Hide details 8 LitCrit: exploring intentions as a basis for automated feedback on Related Work. ... Casey, Arlene Jane. - : The University of Edinburgh, 2020 BASE Show details 9 Modelling speaker adaptation in second language learner dialogue ... Sinclair, Arabella Jane. - : The University of Edinburgh, 2020 BASE Show details 10 Code and data accompanying the study "Modeling word trees in historical linguistics" ... Schweikhard, Nathanael E.; Johann-Mattis List. - : Zenodo, 2020 BASE Show details 11 Code and Tutorial Accompanying "Computer-Assisted Language Comparison: State of the Art" ... MeiShinWu; Johann-Mattis List; Hil, Nathan W.. - : Zenodo, 2020 BASE Show details 12 Code and Tutorial Accompanying "Computer-Assisted Language Comparison: State of the Art" ... MeiShinWu; Johann-Mattis List; Hil, Nathan W.. - : Zenodo, 2020 BASE Show details 13 Code and data accompanying the study "Modeling word trees in historical linguistics" ... Schweikhard, Nathanael E.; Johann-Mattis List. - : Zenodo, 2020 BASE Show details 14 Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels ... Brate, Ryan; Groth, Paul; van Erp, Marieke. - : Zenodo, 2020 BASE Show details 15 The LiLa Activity at Linked Pasts 6 ... Passarotti, Marco; Cecchini, Flavio Massimiliano; Franzini, Greta. - : Zenodo, 2020 BASE Show details 16 The Quest for 'Falsehood', or a Survey of Tools for the Study of Greek-Syriac-Arabic Translations ... Kessel, Grigory; Arnzen, Rüdiger; Čéplö, Slavomír. - : Zenodo, 2020 BASE Show details 17 The LiLa Activity at Linked Pasts 6 ... Passarotti, Marco; Cecchini, Flavio Massimiliano; Franzini, Greta. - : Zenodo, 2020 BASE Show details 18 Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels ... Brate, Ryan; Groth, Paul; van Erp, Marieke. - : Zenodo, 2020 BASE Show details 19 The Quest for 'Falsehood', or a Survey of Tools for the Study of Greek-Syriac-Arabic Translations ... Kessel, Grigory; Arnzen, Rüdiger; Čéplö, Slavomír. - : Zenodo, 2020 BASE Show details 20 Towards Programming in Natural Language: Learning New Functions from Spoken Utterances ... Weigelt, Sebastian; Steurer, Vanessa; Hey, Tobias. - : World Scientific Publishing, 2020 BASE Show details Page: 1 2 3

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