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1
Improving unsupervised dependency parsing with richer contexts and smoothing
Headden III, William P; Johnson, Mark; McClosky, David. - : East Stroudsburg, PA : Association for Computational Linguistics, 2009
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2
Segmenting email message text into zones
Lampert, Andrew; Dale, Robert; Paris, Cécile. - : Stroudsburg, PA : Association for Computational Linguistics (ACL), 2009
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3
Closed doors - Modelling intention in behavioural interfaces
Dofod-Petersen, Anders; Wegener, Rebekah Kate Ardley; Cassens, Jorg. - : Norway : Tapir Akademisk Forlag, 2009
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4
Using Hypernymy Acquisition to Tackle (Part of) Textual Entailment
Akhmatova, Elena; Dras, Mark. - : Stroudsburg, PA : Association for Computational Linguistics, 2009
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5
Multi-Document Summarisation Using Generic Relation Extraction
Hachey, Benjamin Clayton. - : USA : Association for Computational Linguistics, 2009
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6
Structured generative models for unsupervised named-entity clustering
Elsner, Micha; Charniak, Eugene; Johnson, Mark. - : East Stroudsburg, PA : Association for Computational Linguistics, 2009
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7
Coupling hierarchical word reordering and decoding in phrase-based statistical machine translation
Fonollosa, Jose; Dras, Mark; Khalilov, Maxim. - : Stroudsburg, PA, USA : Association for Computational Linguistics, 2009
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8
Improving grammaticality in statistical sentence generation : introducing a dependency spanning tree algorithm with an argument satisfaction model
Wan, Stephen; Dras, Mark; Dale, Robert. - : Stroudsburg, PA : Association for Computational Linguistics, 2009
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9
Ingesting the Auslan corpus into the DADA annotation store
Cassidy, Steve; Johnston, Trevor. - : Stroudsburg, PA : The Association for Computational Linguistics and The Asian Federation of Natural Language Processing, 2009
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10
A New subtree-transfer approach to syntax-based reordering for statistical machine translation
Khalilov, Maxim; Fonollosa, José A. R; Dras, Mark. - : Barcelona, Spain : Universitat Politècnica de Catalunya, 2009
Abstract: In this paper we address the problem of translating between languages with word order disparity. The idea of augmenting statistical machine translation (SMT) by using a syntax-based reordering step prior to translation, proposed in recent years, has been quite successful in improving translation quality. We present a new technique for extracting syntax-based reordering rules, which are derived through a syntactically augmented alignment of source and target texts. The parallel corpus with reordered source side is then passed to an N-gram-based machine translation system and the obtained results are contrasted with a monotone system performance. In experiments, we show significant improvement for the Chinese-to-English translation task. ; 8 page(s)
Keyword: 080100 Artificial Intelligence and Image Processing
URL: http://hdl.handle.net/1959.14/153934
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11
Improving nonparameteric Bayesian inference : experiments on unsupervised word segmentation with adaptor grammars
Johnson, Mark; Goldwater, Sharon. - : East Stroudsburg, PA : Association for Computational Linguistics, 2009
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12
Designing a citation-sensitive research tool : an initial study of browsing-specific information needs
Wan, Stephen; Paris, Cécile; Muthukrishna, Michael. - : Stroudsburg, PA : Association for Computational Linguistics (ACL), 2009
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13
The Software architecture for the first challenge on generating instructions in virtual environments
Koller, Alexander; Byron, Donna; Cassell, Justine. - : United States : Association for Computational Linguistics (ACL), 2009
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14
Validating the web-based evaluation of NLG systems
Koller, Alexander; Striegnitz, Kristina; Byron, Donna. - : Stroudsburg, PA : Association for Computational Linguistics (ACL), 2009
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15
Report on the first NLG challenge on Generating Instructions in Virtual Environments (GIVE)
Byron, Donna; Koller, Alexander; Striegnitz, Kristina. - : United States : Association for Computational Linguistics, 2009
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16
Referring expression generation through attribute-based heuristics
Dale, Robert; Viethen, Jette. - : United States : Association for Computational Linguistics (ACL), 2009
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17
A Bayesian framework for word segmentation : exploring the effects of context
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