OLAC Record

Title:Alex Context NLG Dataset
Bibliographic Citation:http://hdl.handle.net/11234/1-1675
Creator:Dušek, Ondřej
Jurčíček, Filip
Date (W3CDTF):2016-04-05T12:02:13Z
Date Available:2016-04-05T12:02:13Z
Description:A dataset intended for fully trainable natural language generation (NLG) systems in task-oriented spoken dialogue systems (SDS), covering the English public transport information domain. It includes preceding context (user utterance) along with each data instance (pair of source meaning representation and target natural language paraphrase to be generated). Taking the form of the previous user utterance into account for generating the system response allows NLG systems trained on this dataset to entrain (adapt) to the preceding utterance, i.e., reuse wording and syntactic structure. This should presumably improve the perceived naturalness of the output, and may even lead to a higher task success rate. Crowdsourcing has been used to obtain natural context user utterances as well as natural system responses to be generated.
Identifier (URI):http://hdl.handle.net/11234/1-1675
Language (ISO639):eng
Publisher:Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Rights:Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Subject:dialogue system
natural language generation
dialogue alignment
Type (DCMI):Text
Type (OLAC):primary_text


Archive:  LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
Description:  http://www.language-archives.org/archive/lindat.mff.cuni.cz
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OaiIdentifier:  oai:lindat.mff.cuni.cz:11234/1-1675
DateStamp:  2021-06-29
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Citation: Dušek, Ondřej; Jurčíček, Filip. 2016. Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL).
Terms: area_Europe country_GB dcmi_Text iso639_eng olac_primary_text

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