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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 Framing Annotation Data for News Articles ; Testing and Comparing Computational Approaches for Identifying the Language of Framing in Political News Baumer, Eric P. S.; Elovic, Elisha; Qin, Ying. - : North American Chapter of the Association for Computational Linguistics (NAACL), 2015 BASE Show details 2 Contextual Distribution for Textual Alignment Bizzoni, Yuri; Reboul, Marianne In: World Academy of Science, Engineering and TechnologyInternational Journal of Cognitive and Language Sciences ; https://hal.archives-ouvertes.fr/hal-03167990 ; World Academy of Science, Engineering and TechnologyInternational Journal of Cognitive and Language Sciences, 2015, Paris, France (2015) BASE Show details 3 Inferring Aspect-Specific Opinion Structure in Product Reviews ... Carter, David. - : Université d'Ottawa / University of Ottawa, 2015 BASE Show details 4 Learning semantic types and relations from text ... Hovy, Dirk. - : University of Southern California Digital Library (USC.DL), 2015 Abstract: NLP applications such as Question Answering (QA), Information Extraction (IE), or Machine Translation (MT) are incorporating increasing amounts of semantic information. A fundamental building block of semantic information is the relation between a predicate and its arguments, e.g. eat(John,burger). In order to reason at higher levels of abstraction, it is useful to group relation instances according to the types of their predicates and the types of their arguments. For example, while eat(Mary,burger) and devour(John,tofu) are two distinct relation instances, they share the underlying predicate and argument types INGEST(PERSON,FOOD). A central question is: where do the types and relations come from? ❧ The subfield of NLP concerned with this is relation extraction, which comprises two main tasks: ❧ 1. identifying and extracting relation instances from text ❧ 2. determining the types of their predicates and arguments ❧ The first task is difficult for several reasons. Relations can express their predicate ... Keyword: computational linguistics; Computer Science; information extraction; NLP; relation extraction; unsupervised learning URL: https://dx.doi.org/10.25549/usctheses-c3-300459 https://digitallibrary.usc.edu/asset-management/2A3BF1LGLIUT BASE Hide details 5 Ημιαυτόματη επεξεργασία σωμάτων κειμένων στο πεδίο της βιοποικιλότητας με σκοπό την εξαγωγή ορολογίας ... Τρούπκος, Νικόλαος Ευθυμίου. - : Aristotle University of Thessaloniki, 2015 BASE Show details 6 Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns Gelbukh, Alexander; Poria, Soujanya; Hussain, Amir. - : Institute of Electrical and Electronics Engineers, 2015 BASE Show details 7 An Information theoretic approach to production and comprehension of discourse markers ... Torabi Asr, Fatemeh. - : Universität des Saarlandes, 2015 BASE Show details 8 Lingpy: Lingpy-2.4.1-Alpha ... Johann-Mattis List; Moran, Steven; Dellert, Johannes. - : Zenodo, 2015 BASE Show details 9 Explaining Delta, Or: How Do Distance Measures For Authorship Attribution Work? ... Evert, Stefan; Proisl, Thomas; Schöch, Christof. - : Zenodo, 2015 BASE Show details 10 Kurmanji-Stemmer: The Second Release ... Rahimi, Adel. - : Zenodo, 2015 BASE Show details 11 Tree-adjoining machine translation ... DeNeefe, Steve. - : University of Southern California Digital Library (USC.DL), 2015 BASE Show details 12 Weighted tree automata and transducers for syntactic natural language processing ... May, Jonathan David Louis. - : University of Southern California Digital Library (USC.DL), 2015 BASE Show details 13 Semantically-enriched parsing for natural language understanding ... Tratz, Stephen Charles. - : University of Southern California Digital Library (USC.DL), 2015 BASE Show details 14 Supplementary Material Accompanying "Factoring Lexical And Phonetic Phylogenetic Characters From Word Lists" ... Jäger, Gerhard; List, Johann-Mattis. - : Zenodo, 2015 BASE Show details 15 Documentary Linguistics and Computational Linguistics: A response to Brooks Bird, Steven; Chiang, David; Frowein, Friedel. - : University of Hawaii Press, 2015 BASE Show details 16 MarsaTag Rauzy, Stéphane Mr, CNRS - LPL. - : Laboratoire parole et langage - UMR 7309 (LPL, Aix-en-Provence FR), 2015. : http://lpl-aix.fr, 2015 BASE Show details 17 MarsaGram Blache, Philippe Dr, Laboratoire parole et langage - UMR 7309; Montcheuil, Grégoire Mr, Laboratoire parole et langage - UMR 7309; Rauzy, Stéphane Dr, Laboratoire parole et langage - UMR 7309. - : Laboratoire parole et langage - UMR 7309 (LPL, Aix-en-Provence FR), 2015. : http://lpl-aix.fr, 2015 BASE Show details 18 Digital humanities: centres and peripheries Schreibman, Susan In: Historical Social Research ; 37 ; 3 ; 46-58 ; Kontroversen um die Digitalen Geisteswissenschaften / Controversies around the digital humanities (2015) BASE Show details 19 Identifying events using computer-assisted text analysis Landmann, Juliane; Züll, Cornelia In: Social Science Computer Review ; 26 ; 4 ; 483-497 (2015) BASE Show details 20 Controversies around the digital humanities: an agenda Thaller, Manfred In: Historical Social Research ; 37 ; 3 ; 7-23 ; Kontroversen um die Digitalen Geisteswissenschaften / Controversies around the digital humanities (2015) BASE Show details Page: 1 2

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