[Corpora-List] April 2020 Newsletter - LDC

Penn LDC ldc at ldc.upenn.edu
Wed Apr 15 19:28:26 CEST 2020


In this newsletter:

New Publications: 2018 NIST Speaker Recognition Evaluation Test Set<https://catalog.ldc.upenn.edu/LDC2020S04> Abstract Meaning Representation 2.0 - Four Translations<https://catalog.ldc.upenn.edu/LDC2020T07> TAC KBP English Temporal Slot Filling - Comprehensive Training and Evaluation Data 2011 and 2013<https://catalog.ldc.upenn.edu/LDC2020T08>

New publications:

(1) 2018 NIST Speaker Recognition Evaluation Test Set<https://catalog.ldc.upenn.edu/LDC2020S04> was developed by LDC and NIST (National Institute of Standards and Technology) and contains approximately 396 hours of Tunisian Arabic telephone recordings and English web video speech used as development and test data in the NIST-sponsored 2018 Speaker Recognition Evaluation<https://www.nist.gov/itl/iad/mig/nist-2018-speaker-recognition-evaluation> (SRE). This release also contains answer keys, trial and train files, development data, and evaluation documentation.

The SRE task is speaker detection, that is, to determine whether a specified target speaker is speaking during a segment of speech. In addition to the traditional focus on conversational telephone speech recorded over a variety of handset types for the training and test conditions, SRE18 added VOIP (voice over IP) data and audio from video.

The telephone speech data was drawn from the Call My Net 2 (CMN2) collection conducted by LDC in Tunisia in which recruited Tunisian Arabic speakers made multiple calls to friends or relatives for conversations lasting between 8-10 minutes. The speech segments include PSTN (public switched telephone network) and VOIP data.

The English audio was sampled from amateur web videos collected by LDC as part of the Video Annotation for Speech Technology (VAST) project.

2018 NIST Speaker Recognition Evaluation Test Set is distributed via web download.

2020 Subscription Members will automatically receive copies of this corpus. 2020 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.

*

(2) Abstract Meaning Representation 2.0 - Four Translations<https://catalog.ldc.upenn.edu/LDC2020T07> was developed by researchers at the University of Edinburgh, School of Informatics<https://www.ed.ac.uk/informatics> and consists of Spanish, German, Italian, and Chinese Mandarin translations of 5,484 test split sentences (1,371 sentences per language) from Abstract Meaning Representation (AMR) Annotation Release 2.0 (LDC2017T10)<https://catalog.ldc.upenn.edu/LDC2017T10>.

AMR Annotation Release 2.0 is a semantic treebank of over 39,000 English natural language sentences from broadcast conversations, newswire, and web text. The translated data in this release was designed for use in cross-lingual parsing.

The source sentences were drawn from material collected by LDC, specifically, discussion forum text from the DARPA BOLT and DARPA DEFT programs, transcripts and English translations of Mandarin Chinese broadcast news programming, Wall Street Journal text, translated Xinhua news texts, various newswire texts from NIST OpenMT evaluations, and weblog data from the DARPA GALE program.

Abstract Meaning Representation 2.0 - Four Translations is distributed via web download.

2020 Subscription Members will automatically receive copies of this corpus. 2020 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee. *

(3) TAC KBP English Temporal Slot Filling - Comprehensive Training and Evaluation Data 2011 and 2013<https://catalog.ldc.upenn.edu/LDC2020T08> was developed by LDC and contains training and evaluation data produced in support of the TAC KBP English Temporal Slot Filling tasks in 2011 and 2013. This release includes queries, manual runs produced by LDC annotators, and the final rounds of assessment results.

The goal of the Temporal Slot Filling task was to identify and capture temporal information in text indicating when a given relation between a slot filling query entity and filler held true. This built upon the technology developed for regular Slot Filling which involved mining information about entities from text.

The corresponding source data collections of English newswire, broadcast material, and web text are included in TAC KBP Comprehensive English Source Corpora 2009-2014 (LDC2018T03)<https://catalog.ldc.upenn.edu/LDC2018T03>. The corresponding Knowledge Base (KB) for much of the data - a 2008 snapshot of Wikipedia - is available in TAC KBP Reference Knowledge Base (LDC2014T16)<https://catalog.ldc.upenn.edu/LDC2014T16>.

TAC KBP English Temporal Slot Filling - Comprehensive Training and Evaluation Data 2011 and 2013 is distributed via web download.

2020 Subscription Members will automatically receive copies of this corpus. 2020 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee. * Membership Coordinator Linguistic Data Consortium<x-msg://28/ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc at ldc.upenn.edu<mailto:ldc at ldc.upenn.edu> M: 3600 Market St. Suite 810

Philadelphia, PA 19104

-------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 18077 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20200415/4fd379db/attachment.txt>



More information about the Corpora mailing list