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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 BASE Show 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 Abstract: Dataset accompanying "Ryan Brate, Paul Groth and Marieke van Erp (2020) Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels. LaTeCH-CLfL 2020. Barcelona, December 2020." Abstract: Environmental factors determine the smells we perceive, but societal factors factors shape the importance, sentiment and biases we give to them. Descriptions of smells in text, or as we call them `smell experiences', offer a window into these factors, but they must first be identified. To the best of our knowledge, no tool exists to extract references to smell experiences from text. In this paper, we present two variations on a semi-supervised approach to identify smell experiences in English literature. The combined set of patterns from both implementations offer significantly better performance than a keyword-based baseline. ... Keyword: computational linguistics; information extraction; novels; olfactory language URL: https://dx.doi.org/10.5281/zenodo.4199995 https://zenodo.org/record/4199995 BASE Hide 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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