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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 4 5 6 7 8 9 10...149 Hits 101 – 120 of 2.971 101 LitCrit: exploring intentions as a basis for automated feedback on Related Work. Casey, Arlene Jane. - : The University of Edinburgh, 2020 BASE Show details 102 Towards Programming in Natural Language: Learning New Functions from Spoken Utterances Hey, Tobias; Weigelt, Sebastian; Steurer, Vanessa... In: International journal of semantic computing, 14 (2), 249–272 ; ISSN: 1793-351X, 1793-7108 (2020) BASE Show details 103 Discovering and analysing lexical variation in social media text Shoemark, Philippa Jane. - : The University of Edinburgh, 2020 BASE Show details 104 Modelling speaker adaptation in second language learner dialogue Sinclair, Arabella Jane. - : The University of Edinburgh, 2020 BASE Show details 105 Sentence Simplification for Text Processing Evans, Richard. - : University of Wolverhampton, 2020 BASE Show details 106 Personal-ITY: A novel youtube-based corpus for personality prediction in Italian Bassignana E.; Nissim M.; Patti V.. - : CEUR-WS, 2020. : country:DEU, 2020. : place:Aachen, 2020 BASE Show details 107 Stop the Morphological Cycle, I Want to Get Off: Modeling the Development of Fusion Elsner, Micha; Johnson, Martha B.; Antetomaso, Stephanie... In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 108 Defining distinctiveness: A computational and experimental analysis Spear, Jackie. - 2020 BASE Show details 109 Are They There Yet? Revisiting the Accuracy Level of Computer-Generated Translation Asep Suparman In: Journal Polingua: Scientific Journal of Linguistics, Literature and Education, Vol 9, Iss 1, Pp 1-4 (2020) (2020) BASE Show details 110 Variables Must be Limited to a Single Feature Prickett, Brandon In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2019 Annual Meeting on Phonology ; 2377-3324 (2020) BASE Show details 111 Learning to Parse Grounded Language using Reservoir Computing Hinaut, Xavier; Spranger, Michael In: ICDL-Epirob 2019 - Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics ; https://hal.inria.fr/hal-02422157 ; ICDL-Epirob 2019 - Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, Aug 2019, Olso, Norway. ⟨10.1109/devlrn.2019.8850718⟩ ; https://ieeexplore.ieee.org/abstract/document/8850718 (2019) BASE Show details 112 Statistische Modelle für die hierarchische phrasenbasierte maschinelle Übersetzung ... : Statistical models for hierarchical phrase-based machine translation ... Huck, Matthias. - : RWTH Aachen University, 2019 BASE Show details 113 Logic of Shared Significations on Internet Relay Chat ... Mercier, David-Olivier. - : Université d'Ottawa / University of Ottawa, 2019 BASE Show details 114 Methods for taking semantic graphs apart and putting them back together again ... Groschwitz, Jonas. - : Universität des Saarlandes, 2019 BASE Show details 115 Proposition-based summarization with a coherence-driven incremental model ... Fang, Yimai. - : Apollo - University of Cambridge Repository, 2019 Abstract: Summarization models which operate on meaning representations of documents have been neglected in the past, although they are a very promising and interesting class of methods for summarization and text understanding. In this thesis, I present one such summarizer, which uses the proposition as its meaning representation. My summarizer is an implementation of Kintsch and van Dijk's model of comprehension, which uses a tree of propositions to represent the working memory. The input document is processed incrementally in iterations. In each iteration, new propositions are connected to the tree under the principle of local coherence, and then a forgetting mechanism is applied so that only a few important propositions are retained in the tree for the next iteration. A summary can be generated using the propositions which are frequently retained. Originally, this model was only played through by hand by its inventors using human-created propositions. In this work, I turned it into a fully automatic model using ... Keyword: abstractive summarisation; abstractive summarization; coherence; computational linguistics; document understanding; natural language processing; NLP; summarisation; summarization; text understanding URL: https://www.repository.cam.ac.uk/handle/1810/287468 https://dx.doi.org/10.17863/cam.34773 BASE Hide details 116 Dated Phylogenies Shed Light on the ancestry of Sino-Tibetan languages ... Johann-Mattis List; Greenhill, Simon J; Ryder, Robin. - : Zenodo, 2019 BASE Show details 117 A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ... Dematties, Dario; Rizzi, Silvio; Thiruvathukal, George K.. - : Zenodo, 2019 BASE Show details 118 Dated Phylogenies Shed Light on the ancestry of Sino-Tibetan languages ... Johann-Mattis List; Greenhill, Simon J; Ryder, Robin. - : Zenodo, 2019 BASE Show details 119 Ground truth for Neue Zürcher Zeitung black letter period ... Ströbel, Phillip; Clematide, Simon. - : Zenodo, 2019 BASE Show details 120 Source code and data accompanying the paper «An automated framework for fast cognate detection and Bayesian phylogenetic inference in computational historical linguistics» ... Taraka Rama; List, Johann-Mattis. - : Zenodo, 2019 BASE Show details Page: 1 2 3 4 5 6 7 8 9 10...149

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