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1
Crowdsourcing and Aggregating Nested Markable Annotations
Madge, Chris; Yu, Juntao; Chamberlain, Jon. - : Association for Computational Linguistics, 2019
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2
Multilingual and cross-lingual graded lexical entailment
Glavaš, Goran; Vulić, Ivan; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2019
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3
How to (properly) evaluate cross-lingual word embeddings: On strong baselines, comparative analyses, and some misconceptions
Glavaš, Goran; Litschko, Robert; Ruder, Sebastian. - : Association for Computational Linguistics, 2019
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4
Generalized tuning of distributional word vectors for monolingual and cross-lingual lexical entailment
Vulić, Ivan; Glavaš, Goran. - : Association for Computational Linguistics, 2019
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5
Multimodal Dialogue Management for Multiparty Interaction with Infants ...
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6
ScoutBot: A Dialogue System for Collaborative Navigation ...
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7
Computational approaches to dialogue
In: The Routledge handbook of language and dialogue (London, 2017), p. 143-161
MPI für Psycholinguistik
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8
Prediction and Realisation of Conversational Characteristics by Utilising Spontaneous Speech for Unit Selection
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9
Towards an ISO Standard for Dialogue Act Annotation
In: Seventh conference on International Language Resources and Evaluation (LREC'10) ; https://hal.inria.fr/inria-00544997 ; Seventh conference on International Language Resources and Evaluation (LREC'10), May 2010, La Valette, Malta (2010)
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10
Natural Language Processing for Joint Fire Observer Training
In: DTIC (2010)
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11
Natural Language Dialogue Architectures for Tactical Questioning Characters
In: DTIC (2008)
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12
Coherence of Off-Topic Responses for a Virtual Character
In: DTIC (2008)
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13
Contribution tracking: participating in task-oriented dialogue under uncertainty
DeVault, David. - 2008
Abstract: The contribution of this dissertation is to show how interlocutors in dialogue can reason probabilistically about natural language interpretation, dialogue state (context), and natural language generation in a way that is consistent with three fundamental claims made by mainstream theories of pragmatic reasoning in human-human dialogue: 1. interlocutors track and exploit the evolving context to coordinate their individual contributions; 2. the current context depends on what the previous utterances of both interlocutors have meant (contributed); 3. what a speaker can recognizably mean (contribute) by a specific choice of words depends on the current context. Mainstream pragmatic theories depend on these assumptions to explain how a speaker can make linguistic choices that the hearer will interpret as intended, but these theories do not lend themselves to straightforward probabilistic reasoning. Engineering approaches to building dialogue systems implement straightforward probabilistic reasoning, but sacrifice one or more (sometimes all) of these fundamental aspects of pragmatic theory in order to do so. This dissertation shows how we can achieve the robustness and data-driven methodology enjoyed by engineering approaches while keeping our interlocutors on a sound theoretical footing, and thereby points the way toward a new class of dialogue systems that are empirically driven, that are robust pragmatic reasoners, and that exhibit human-like sensitivity to the ins and outs of language use in context. ; Ph.D. ; Includes bibliographical references (p. 214-220).
Keyword: Computational linguistics; Computer Science; Discourse analysis; Speech perception
URL: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17459
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14
The Error Is the Clue: Breakdown In Human-Machine Interaction
In: DTIC (2006)
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15
Ideas on Multi-layer Dialogue Management for Multi-party, Multi-conversation, Multi-modal Communication (Extended Abstract of Invited Talk)
In: DTIC (2006)
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16
Dealing with Out of Domain Questions in Virtual Characters
In: DTIC (2006)
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17
Issues in Corpus Development for Multi-Party Multi-Modal Task-Oriented Dialogue
In: DTIC (2006)
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18
Evaluation of Transcription and Annotation Tools for a Multi-Modal, Multi-Party Dialogue Corpus
In: DTIC (2004)
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19
Issues in Multiparty Dialogues
Traum,David. - 2004
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20
Conversation Acts in Task-Oriented Spoken Dialogue
Hinkelman, Elizabeth Ann (1963 - ); Traum, David R. (1963 - ). - : University of Rochester. Computer Science Department., 2004
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