Showing posts with label AIDA. Show all posts
Showing posts with label AIDA. Show all posts

Monday, June 17, 2024

LDC June 2024 Newsletter

LDC data and commercial technology development

New publications:

Diaspora Tibetan Speech

AIDA Scenario 2 Practice Topic Annotation

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LDC data and commercial technology development
For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing page for further information.

New publications:
 
Diaspora Tibetan Speech was developed at Yale University. It contains 28 hours of Tibetan elicited speech by 73 speakers from the diaspora Tibetan community in Kathmandu, Nepal, along with transcripts, elicitation materials and speaker metadata.

Recordings were collected in 2016. All speakers were adults and varied in age as well as age of diaspora. A substantial number of speakers were born in Nepal. Each speaker contributed one recording comprising a series of elicitation tasks: some demographic information; a word list and numbers; some sentences in isolation; a scripted story; and free speech based on "frog story" type illustrations.  Annotation and metadata formats include PDF and Word (some transcripts), Excel (some transcripts, speaker metadata) and Praat TextGrids (word and number lists). 

2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. 

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AIDA Scenario 2 Practice Topic Annotation was developed by LDC and is comprised of annotations for 29 English, Russian and Spanish documents (text, image and video) from AIDA Scenario 2  Practice Topic Source Data (LDC2024T04), specifically, the set of practice documents designated for annotation in Phase 2.

Annotations are presented as tab separated files in the following categories for each topic:

  • Mentions: single references in source data to a real-world entity or filler, event, or relation. 
  • Slots: pre-defined roles in an event or relation filled by an argument (entity mention).
  • Linking: entity mentions linked to entries in the knowledge base as a method of indicating the real-world entity to which an entity referred.

2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.

 

 

Monday, April 15, 2024

LDC April 2024 Newsletter

New publications:

LoReHLT Hausa Representative Language Pack

AIDA Scenario 2 Practice Topic Source Data
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New publications:

LoReHLT Hausa Representative Language Pack was developed by LDC and is comprised of approximately 4.4 million words of Hausa monolingual text, 86,000 Hausa words translated from English data, and 30 minutes of Hausa audio recordings. Approximately 96,000 words were annotated for named entities and over 13,000 words were annotated for full entity including nominals and pronouns. Noun-phrase chunking was applied to more than 7,400 words. Over 9,600 words were labeled with simple semantic annotation. Topic annotation was applied to the audio recordings. Data was collected from discussion forum, news, reference, social network, amateur web audio recordings, and weblogs.

LoReHLT was a companion project of the DARPA LORELEI program. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage.

2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. 

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AIDA Scenario 2 Practice Topic Source Data was developed by LDC and is comprised of 1500 root documents (text, image, and video) from English, Russian, and Spanish web sources. Each phase of the AIDA program centered on a specific scenario, or broad topic area, with related subtopics designated as either practice subtopics or evaluation subtopics. The Phase 2 scenario focused on the socioeconomic and political crisis in Venezuela since 2010. This corpus constitutes the full set of topic-focused documents for Phase 2 practice subtopics.

The DARPA AIDA (Active Interpretation of Disparate Alternatives) program aimed to develop a multi-hypothesis semantic engine to generate explicit alternative interpretations of events, situations and trends from a variety of unstructured sources. LDC supported AIDA by collecting, creating and annotating multimodal linguistic resources in multiple languages.

The knowledge base for entity detection and linking annotation for all AIDA Scenario 1 and 2 corpora is available separately as AIDA Scenario 1 and 2 Reference Knowledge Base (LDC2023T10).

2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.

Monday, October 16, 2023

LDC October 2023 Newsletter

Membership Year 2024 publication preview 

Fall 2023 data scholarship recipients


New publications:

AIDA Scenario 1 Practice Topic Source Data

AIDA Scenario 1 and 2 Reference Knowledge Base

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Membership Year 2024 publication preview 
The 2024 membership year is approaching and plans for next year’s publications are in progress. Among the expected releases are: 

  • KASET: 147 hours of Sorani Kurdish and Kurmanji Kurdish conversational telephone speech and web broadcasts, 65 hours transcribed 
  • AIDA topic source data and annotations: multimodal source data and annotations in multiple languages (Russian, Ukrainian, English, Spanish) for information and entity extraction 
  • RATS Low Speech Density Data: 87 hours of Levantine Arabic, English, Persian, Pushto, and Urdu audio files selected from RATS speech activity detection and keyword spotting data sets, also including communications systems sounds and silence
  • Call My Net 1: 364 hours of conversational telephone speech recordings in Tagalog, Cebuano, Cantonese and Mandarin from speakers in the Philippines and China using various handsets under diverse noise conditions 
  • Ravnursson Faroese Speech and Transcripts: 109 hours of read speech from 433 native speakers with transcripts 
  • Diaspora Tibetan Speech: elicited, read and spontaneous speech from 73 native Tibetan speakers in Katmandu’s diaspora Tibetan community, some recordings transcribed
  • IARPA MATERIAL language packs: conversational telephone speech, transcripts, English translations, annotations and queries in multiple languages (e.g., Bulgarian, Somali, Georgian)
  • LORELEI: representative and incident language packs containing monolingual text, bi-text, translations, annotations, supplemental resources and related tools in various languages (e.g., Farsi, Hungarian, Hindi, Amharic) 
Check your inbox in the coming weeks for more information about membership renewal.  


Fall 2023 data scholarship recipients
Congratulations to the recipients of LDC's Fall 2023 data scholarships:

Nessma Diab: Ain-Shams University (Egypt): Pre-PhD student, Linguistics. Nessma is awarded copies of CALLHOME Egyptian Arabic Speech LDC97S45 and CALLHOME Egyptian Arabic Transcripts LDC97T10 for her work in machine translation.

Soheir Elssakkout: Ain-Shams University (Egypt): PhD candidate. Soheir is awarded copies of Turkish Broadcast News and Transcripts LDC2012S06 and Middle East Technical University Turkish Microphone Speech v 1.0 LDC2006S33 for her work in speech recognition. 

Metheus Franco: Witten/Herdecke University (Germany): Post-doctoral scholar, Faculty of Management, Economics and Society. Metheus is awarded a copy of Avocado Research Email Collection LDC2015T03 for his work in emotional foundations of dynamic capabilities.

Kamal Jarrar: Birzeit University (Palestine): Master’s student, Applied Statistics and Data Science Program. Kamal is awarded copies of Arabic Gigaword Fifth Edition LDC2011T11 and BOLT Arabic Discussion Forums LDC2018T10 for his work in part-of-speech tagging for dialectal Arabic.

Minkyoung Kim: Yonsei University (Korea); PhD candidate, Graduate School of Information. Minkyoung is awarded a copy of The New York Times Annotated Corpus LDC2018T19 for her work in event extraction and semantic event annotation.

Humaira Mehmood: Fatima Jinnah Women University (Pakistan): Master’s student, Computer Sciences. Humaira is awarded a copy of ARL Urdu Speech Database, Training Data LDC2007S03 for her work in machine translation.

Diyam Mousa: Birzeit University (Palestine): PhD candidate, Computer Science Department. Diyam is awarded copies of Arabic Treebank: Part 3 v. 3.2 LDC2010T08 and BOLT Egyptian Arabic Treebank – Discussion Forum LDC2018T23 for her work in morphological tagging for dialectal Arabic.

For information about the program, visit the Data Scholarships page.

New Publications

AIDA Scenario 1 Practice Topic Source Data was developed by LDC and is comprised of 1511 files (text, image, and video) from English, Russian, and Ukrainian web sources. Each phase of the AIDA program centered on a specific scenario, or broad topic area, with related subtopics designated as either practice subtopics or evaluation subtopics. The Phase 1 scenario focused on political relations between Russia and Ukraine in the 2010s. This corpus constitutes the full set of topic-focused documents for Phase 1 practice subtopics. Data was collected from web sources by a combination of automatic and manual processes.

The DARPA AIDA (Active Interpretation of Disparate Alternatives) program aimed to develop a multi-hypothesis semantic engine to generate explicit alternative interpretations of events, situations and trends from a variety of unstructured sources. LDC supported AIDA by collecting, creating and annotating multimodal linguistic resources in multiple languages.
The knowledge base for entity detection and linking annotation for all AIDA Scenario 1 and 2 corpora is available separately as AIDA Scenario 1 and 2 Reference Knowledge Base (LDC2023T10).

2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.

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AIDA Scenario 1 and 2 Reference Knowledge Base contains the English knowledge base (KB) used for all AIDA entity linking annotation in Scenario 1 (Russia-Ukraine Relations) and Scenario 2 (Crisis in Venezuela). The KB content was drawn from GeoNames, the CIA World Leaders List and the CIA World Factbook and was supplemented with manually-created KB entries developed by LDC specifically for AIDA data.

This knowledge base supported the AIDIA entity detection and linking task for 13 entity types: GPE (Geo-Political Entity), LOC (Location), PER (Person), ORG (Organization), FAC (Facility), MHI (Medical/Health Issue), WEA (Weapon), SID (Side), COM (Commodity), CRM (Crime), LAW (Law), VEH (Vehicle), and BAL (Ballot).

2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.