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21
Student Translations of Natural Language into Logic: The Grade Grinder Corpus Release 1.0.
BASE
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22
Classical approaches to natural language processing
In: Handbook of natural language processing (Boca Raton, Fla., 2010), p. 3-6
MPI für Psycholinguistik
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23
Spanning tree approaches for statistical sentence generation
Wan, Stephen; Dras, Mark; Dale, Robert. - : Berlin : Springer, 2010
BASE
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24
The Impact of syntax on the interpretation and graphical depiction of underspecified propositions
Kalb, Aaron; Barker-Plummer, David; Cox, Richard. - : Austin, Texas : Cognitive Science Society, 2010
BASE
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25
Detecting speech repairs incrementally using a noisy channel approach
Zwarts, Simon; Johnson, Mark; Dale, Robert. - : Beijing, China : Tsinghua University Press, 2010
BASE
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26
WikiWars : a new corpus for research on temporal expressions
Mazur, Pawel; Dale, Robert. - : Pennsylvania, USA : Association for Computational Linguistics, 2010
BASE
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27
Helping our own : text massaging for computational linguistics as a new shared task
Dale, Robert; Kilgarriff, Adam. - : Pennsylvania, USA : Association for Computational Linguistics, 2010
BASE
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28
Detecting emails containing requests for action
Lampert, Andrew; Dale, Robert; Paris, Cecile. - : Stroudsburg, PA : Association for Computational Linguistics, 2010
Abstract: Automatically finding email messages that contain requests for action can provide valuable assistance to users who otherwise struggle to give appropriate attention to the actionable tasks in their inbox. As a speech act classification task, however, automatically recognising requests in free text is particularly challenging. The problem is compounded by the fact that typical emails contain extraneous material that makes it difficult to isolate the content that is directed to the recipient of the email message. In this paper, we report on an email classification system which identifies messages containing requests; we then show how, by segmenting the content of email messages into different functional zones and then considering only content in a small number of message zones when detecting requests, we can improve the accuracy of message-level automated request classification to 83.76%, a relative increase of 15.9%. This represents an error reduction of 41% compared with the same request classifier deployed without email zoning. ; 9 page(s)
Keyword: 080100 Artificial Intelligence and Image Processing
URL: http://hdl.handle.net/1959.14/154290
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29
Report on the second NLG challenge on generating instructions in virtual environments (GIVE-2)
Koller, Alexander; Striegnitz, Kristina; Gargett, Andrew. - : Stroudsburg, PA : Association for Computational Linguistics, 2010
BASE
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30
Dialogue reference in a visual domain
Viethen, Jette; Zwarts, Simon; Dale, Robert. - : Valetta, Malta : European Language Resources Association, 2010
BASE
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31
The Big Australian Speech Corpus (The Big ASC)
Chetty, Girija; Cassidy, Stephen; Butcher, Andrew Richard. - : Causal Productions, 2010
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32
The Impact of Syntax on the Interpretation and Graphical Depiction of Underspecified Propositions
Kalb, Aaron; Barker-Plummer, Dave; Cox, Richard. - : Lawrence Erlbaum, 2010
BASE
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33
The Big Australian Speech Corpus (the Big ASC)
Wagner, Michael; Tran, Dat; Togneri, Roberto. - : Canberra, A.C.T., ASSTA, 2010
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34
The software architecture for the first challenge on generating instructions in virtual environments
In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 33-36
BLLDB
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35
Improving grammaticality in statistical sentence generation: introducing a dependency spanning tree algorithm with an argument satisfaction model
In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 852-860
BLLDB
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36
Segmenting email message text into zones
Lampert, Andrew; Dale, Robert; Paris, Cécile. - : Stroudsburg, PA : Association for Computational Linguistics (ACL), 2009
BASE
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37
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
BASE
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38
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
BASE
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39
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
BASE
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40
Validating the web-based evaluation of NLG systems
Koller, Alexander; Striegnitz, Kristina; Byron, Donna. - : Stroudsburg, PA : Association for Computational Linguistics (ACL), 2009
BASE
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