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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...10 Hits 1 – 20 of 189 1 POS induction with distributional and morphological information using a distance-dependent Chinese Restaurant Process Sirts, Kairit; Eisenstein, Jacob; Elsner, Micha. - : Stroudsburg, PA : Association for Computational Linguistics, 2014 BASE Show details 2 Semantic title evaluation and recommendation based on topic models Jin, Huidong; Zhang, Lijiu; Du, Lan. - : Heidelberg : Springer, 2013 Abstract: To digest tremendous documents efficiently, people often resort to their titles, which normally provide a concise and semantic representation of main text. Some titles however are misleading due to lexical ambiguity or eye-catching intention. The requirement of reference summaries hampers using traditional lexical summarisation evaluation techniques for title evaluation. In this paper we develop semantic title evaluation techniques by comparing a title with other sentences in terms of topic-based similarity with regard to the whole document. We further give a statistical hypothesis test to check whether a title is favourable without any reference summary. As a byproduct, the top similar sentence can be recommended as a candidate for title. Experiments on patents, scientific papers and DUC'04 benchmarks show our Semantic Title Evaluation and Recommendation technique based on a recent Segmented Topic Model (STERSTM), performs substantially better than that based on the canonical model Latent Dirichlet Allocation (STERLDA). It can also recommend titles with quality comparable with the winners of DUC'04 in terms of summarising documents into very short summaries. ; 12 page(s) Keyword: 080100 Artificial Intelligence and Image Processing; Evaluation; Hypothesis test; Semantic; Topic models URL: http://hdl.handle.net/1959.14/281052 BASE Hide details 3 Topic segmentation with a structured topic model Du, Lan; Buntine, Wray; Johnson, Mark. - : Stroudsburg, PA : The Association for Computational Linguistics, 2013 BASE Show details 4 A Summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition Jansen, Aren; Dupoux, Emmanuel; Seltzer, Mike. - : Piscataway, NJ : IEEE, 2013 BASE Show details 5 Whyisenglishsoeasytosegment? ; Why is English so easy to segment? Fourtassi, Abdellah; Börschinger, Benjamin; Johnson, Mark. - : Stroudsburg, PA : Association for Computational Linguistics, 2013 BASE Show details 6 Dynamic 3-D visualization of vocal tract shaping during speech Zhu, Yinghua; Kim, Yoon-Chul; Proctor, Michael I. - : IEEE, 2013 BASE Show details 7 Working with a small dataset - semi-supervised dependency parsing for Irish Lynn, Teresa; Foster, Jennifer; Dras, Mark. - : Stroudsburg, PA : Association for Computational Linguistics, 2013 BASE Show details 8 A Joint model of word segmentation and phonological variation for English word-final t-deletion Börschinger, Benjamin; Johnson, Mark; Demuth, Katherine. - : Stroudsburg, PA : Association for Computational Linguistics, 2013 BASE Show details 9 Parsing entire discourses as very long strings : capturing topic continuity in grounded language learning Luong, Minh-Thang; Frank, Michael C; Johnson, Mark. - : Association for Computational Linguistics, 2013 BASE Show details 10 A Non-monotonic Arc-Eager transition system for dependency parsing Honnibal, Matthew; Goldberg, Yoav; Johnson, Mark. - : Stroudsburg, PA : Association for Computational Linguistics, 2013 BASE Show details 11 Unsupervised dependency parsing with acoustic cues Pate, John K; Goldwater, Sharon. - : Association for Computational Linguistics, 2013 BASE Show details 12 Modeling graph languages with grammars extracted via tree decompositions Jones, Bevan Keeley; Goldwater, Sharon; Johnson, Mark. - : Stroudsburg, PA : Association for Computational Linguistics, 2013 BASE Show details 13 Learning from OzCLO, the Australian Computational and Linguistics Olympiad Estival, Dominique; Henderson, John; Laughren, Mary. - : Stroudsburg, PA : Association for Computational Linguistics (ACL), 2013 BASE Show details 14 The effect of non-tightness on Bayesian estimation of PCFGs Cohen, Shay B; Johnson, Mark. - : Stroudsburg, PA : Association for Computational Linguistics, 2013 BASE Show details 15 Language acquisition as statistical inference Johnson, Mark. - : Geneve, Switzerland : Droz, 2013 BASE Show details 16 Three approaches to iterated belief contraction Ramachandran, Raghav; Nayak, Abhaya C; Orgun, Mehmet A. - : Springer, 2012 BASE Show details 17 Complex predicates in Arrernte Dras, Mark; Lareau, François; Börschinger, Benjamin. - : Stanford, CA : CSLI Publications, 2012 BASE Show details 18 Valence shifting : is it a valid task? Gardiner, Mary; Dras, Mark. - : Melbourne : Australian Language Technology Association, 2012 BASE Show details 19 Implementing lexical functions in XLE Lareau, François; Dras, Mark; Börschinger, Benjamin. - : Stanford, CA : CSLI Publications, 2012 BASE Show details 20 Exploring adaptor grammars for native language identification Wong, Sze-Meng Jojo; Dras, Mark; Johnson, Mark. - : Stroudsburg, PA : Association for Computational Linguistics, 2012 BASE Show details Page: 1 2 3 4 5...10

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