OLAC Record
oai:www.ldc.upenn.edu:LDC2017S11

Metadata
Title:Metalogue Multi-Issue Bargaining Dialogue
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Petukhova, Volha, et al. Metalogue Multi-Issue Bargaining Dialogue LDC2017S11. Web Download. Philadelphia: Linguistic Data Consortium, 2017
Contributor:Petukhova, Volha
Malchanau, Andrei
Oualil, Youssef
Klakow, Dietrich
Stevens, Christopher
de Weerd, Harmen
Taatgen, Niels
Date (W3CDTF):2017
Date Issued (W3CDTF):2017-07-18
Description:*Introduction* Metalogue Multi-Issue Bargaining Dialogue was developed by the Metalogue Consortium under the European Community's Seventh Framework Programme for Research and Technological Development. This release consists of approximately 2.5 hours of semantically annotated English dialogue data that includes speech and transcripts. The goal of the Metalogue project was to develop a dialogue system with flexible dialogue management to enable the system's behavior in setting goals, choosing strategies and monitoring various processes. Participants were involved in a multi-issue bargaining scenario in which a representative of a city council and a representative of small business owners negotiated the implementation of new anti-smoking regulations. The negotiation involved four issues, each with four or five options. Participants received a preference profile for each scenario and negotiated for an agreement with the highest value based on their preference information. Negotiators were not allowed to accept an agreement with a negative value or to share their preference profiles with other participants. *Data* Six unique subjects (undergraduates between 19 and 25 years of age) participated in the collection. The dialogue speech was captured with two headset microphones and saved in 16kHz, 16-bit mono linear PCM FLAC format. Speech signal files are of two types: full dialogue session; and segmented speech signal, cut per speaker and roughly per turn. Transcripts were produced semi-automatically, using an automatic speech recognizer followed by manual correction. Seven types of annotation were performed manually using the Anvil tool: dialogue act annotations; discourse structure acts; contact management acts; task management dialogue acts; negotiation moves; rhetorical relations; and disfluencies in speech production. More information about the annotation process is included in the documentation. All text is presented in UTF-8 as either plain text or XML. *Samples* Please view the following samples: * Audio 1 * Transcript 1 * Audio 2 * Transcript 2 *Updates* None at this time.
Extent:Corpus size: 307344 KB
Format:Sampling Rate: 16000
Sampling Format: pcm
Identifier:LDC2017S11
https://catalog.ldc.upenn.edu/LDC2017S11
ISBN: 1-58563-805-6
ISLRN: 217-906-813-531-9
DOI: 10.35111/cpnn-f916
Language:English
Language (ISO639):eng
License:LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:Distribution: Web Download
Provenance:Collected by The University of Groningen in Groningen, Groningen, Netherlands.
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2017S11
Rights Holder:Portions © 2017 Saarland University (USAAR), © 2017 Trustees of the University of Pennsylvania
Type (DCMI):Sound
Text
Type (OLAC):primary_text

OLAC Info

Archive:  The LDC Corpus Catalog
Description:  http://www.language-archives.org/archive/www.ldc.upenn.edu
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2017S11
DateStamp:  2020-11-30
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Petukhova, Volha; Malchanau, Andrei; Oualil, Youssef; Klakow, Dietrich; Stevens, Christopher; de Weerd, Harmen; Taatgen, Niels. 2017. Linguistic Data Consortium.
Terms: area_Europe country_GB dcmi_Sound dcmi_Text iso639_eng olac_primary_text


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Up-to-date as of: Mon Mar 25 7:20:55 EDT 2024