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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...6 7 8 9 10 Hits 181 – 191 of 191 181 Large-Scale Acquisition of Feature-Based Conceptual Representations from Textual Corpora Devereux, Barry; Pilkington, Nicholas; Poibeau, Thierry... In: Proceedings of the Annual Meeting of the Cognitive Science Society ; The Annual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-00507103 ; The Annual Meeting of the Cognitive Science Society, 2010, United States. 6 p (2010) BASE Show details 182 Towards unrestricted, large-scale acquisition of feature-based conceptual representations from corpus data Devereux, Barry; Pilkington, Nicholas; Poibeau, Thierry... In: ISSN: 1570-7075 ; EISSN: 1572-8706 ; Research on Language and Computation ; https://hal.archives-ouvertes.fr/hal-00605539 ; Research on Language and Computation, Springer Verlag, 2010, 7 (2-4), pp.137-170 (2010) BASE Show details 183 Investigating the cross-linguistic potential of VerbNet-style classification Sun, Lin; Korhonen, Anna; Poibeau, Thierry... In: Proceedings of CoLing ; CoLing 2010 ; https://hal.archives-ouvertes.fr/hal-00539036 ; CoLing 2010, 2010, Beijing, China, China. pp.94 (2010) BASE Show details 184 Towards unrestricted, large-scale acquisition of feature-based conceptual representations from corpus data Devereux, Barry; Korhonen, Anna; Pilkington, Nicholas... In: Research on language and computation. - London : King's College 7 (2009) 2-4, 137-170 BLLDB OLC Linguistik Show details 185 LexSchem: A Large Subcategorization Lexicon for French Verbs Messiant, Cédric; Korhonen, Anna; Poibeau, Thierry In: Proceedings of the Language Resources and Evaluation Conference (LREC) ; LREC 2008 ; https://hal.archives-ouvertes.fr/hal-00539025 ; LREC 2008, 2008, Marrakech, Morocco. pp.142 (2008) BASE Show details 186 A large-scale classification of English verbs Kipper, Karin; Korhonen, Anna; Ryant, Neville... In: Language resources and evaluation. - Dordrecht [u.a.] : Springer 42 (2008) 1, 21-40 BLLDB Show details 187 Introduction to the special issue on multiword expressions: Having a crack at a hard nut Villavicencio, Aline; Bond, Francis; Korhonen, Anna... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 19 (2005) 4, 365-377 OLC Linguistik Show details 188 Multiword expressions Villavicencio, Aline (Hrsg.); Bond, Francis (Hrsg.); Korhonen, Anna (Hrsg.). - Amsterdam [u.a.] : Elsevier, 2005 BLLDB Show details 189 Subcategorization acquisition Korhonen, Anna. - : University of Cambridge, Computer Laboratory, 2002 Abstract: Manual development of large subcategorised lexicons has proved difficult because predicates change behaviour between sublanguages, domains and over time. Yet access to a comprehensive subcategorization lexicon is vital for successful parsing capable of recovering predicate-argument relations, and probabilistic parsers would greatly benefit from accurate information concerning the relative likelihood of different subcategorisation frames SCFs of a given predicate. Acquisition of subcategorization lexicons from textual corpora has recently become increasingly popular. Although this work has met with some success, resulting lexicons indicate a need for greater accuracy. One significant source of error lies in the statistical filtering used for hypothesis selection, i.e. for removing noise from automatically acquired SCFs. This thesis builds on earlier work in verbal subcategorization acquisition, taking as a starting point the problem with statistical filtering. Our investigation shows that statistical filters tend to work poorly because not only is the underlying distribution zipfian, but there is also very little correlation between conditional distribution of SCFs specific to a verb and unconditional distribution regardless of the verb. More accurate back-off estimates are needed for SCF acquisition than those provided by unconditional distribution. We explore whether more accurate estimates could be obtained by basing them on linguistic verb classes. Experiments are reported which show that in terms of SCF distributions, individual verbs correlate more closely with syntactically similar verbs and even more closely with semantically similar verbs, than with all verbs in general. On the basis of this result, we suggest classifying verbs according to their semantic classes and obtaining back-off estimates specific to these classes. We propose a method for obtaining such semantically based back-off estimates, and a novel approach to hypothesis selection which makes use of these estimates. This approach involves automatically identifying the semantic class of a predicate, using subcategorization acquisition machinery to hypothesise conditional SCF distribution for the predicate, smoothing the conditional distribution with the back-off estimates of the respective semantic verb class, and employing a simple method for filtering, which uses a threshold on the estimates from smoothing. Adopting Briscoe and Carroll’s (1997) system as a framework, we demonstrate that this semantically-driven approach to hypothesis selection can significantly improve the accuracy of large-scale subcategorization acquisition. URL: http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-530.pdf BASE Hide details 190 Detecting verbal participation in diathesis alternations McCarthy, Diana Frances; Korhonen, Anna. - : Association for Computational Linguistics, 1998 BASE Show details 191 Technologies and Tools for Lexical Acquisition Rimell, Laura; Korhonen, Anna; Quochi, Valeria. BASE Show details Page: 1...6 7 8 9 10

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