TAC KBP English Temporal Slot Filling - Comprehensive Training and Evaluation Data 2011 and 2013
| Item Name: | TAC KBP English Temporal Slot Filling - Comprehensive Training and Evaluation Data 2011 and 2013 |
| Author(s): | Joe Ellis, Jeremy Getman, Stephanie Strassel |
| LDC Catalog No.: | LDC2020T08 |
| ISBN: | 1-58563-925-7 |
| ISLRN: | 425-241-890-403-8 |
| DOI: | https://doi.org/10.35111/w4x9-7n52 |
| Release Date: | April 15, 2020 |
| Member Year(s): | 2020 |
| DCMI Type(s): | Text |
| Data Source(s): | discussion forum, newswire, web collection |
| Project(s): | TAC |
| Application(s): | information extraction, knowledge base population, relation extraction, knowledge representation, temporal analysis |
| Language(s): | English |
| Language ID(s): | eng |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2020T08 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Ellis, Joe, Jeremy Getman, and Stephanie Strassel. TAC KBP English Temporal Slot Filling - Comprehensive Training and Evaluation Data 2011 and 2013 LDC2020T08. Web Download. Philadelphia: Linguistic Data Consortium, 2020. |
| Related Works: | View |
Introduction
TAC KBP English Temporal Slot Filling - Comprehensive Training and Evaluation Data 2011 and 2013 was developed by the Linguistic Data Consortium (LDC) and contains training and evaluation data produced in support of the TAC KBP English Temporal Slot Filling tasks in 2011 and 2013.
Text Analysis Conference (TAC) is a series of workshops organized by the National Institute of Standards and Technology (NIST). TAC was developed to encourage research in natural language processing and related applications by providing a large test collection, common evaluation procedures, and a forum for researchers to share their results. Through its various evaluations, the Knowledge Base Population (KBP) track of TAC encourages the development of systems that can match entities mentioned in natural texts with those appearing in a knowledge base and extract novel information about entities from a document collection and add it to a new or existing knowledge base.
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. For more information about Temporal Slot Filling, refer to the 2013 track home page.
Data
This release contains all evaluation and training data developed in support of TAC KBP Temporal Slot Filling 2011 and 2013, the two years the track was conducted. This includes queries, the manual runs produced by LDC annotators, and the final rounds of assessment results.
The corresponding source document collections for this release are included in TAC KBP Comprehensive English Source Corpora 2009-2014 (LDC2018T03) (newswire, broadcast material, web text). The corresponding Knowledge Base (KB) for much of the data - a 2008 snapshot of Wikipedia - is contained in TAC KBP Reference Knowledge Base (LDC2014T16) .
All text data is encoded as UTF-8.
Acknowledgement
This material is based on research sponsored by Air Force Research Laboratory and Defense Advance Research Projects Agency under agreement number FA8750-13-2-0045. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Air Force Research Laboratory and Defense Advanced Research Projects Agency or the U.S. Government.
Samples
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Updates
None at this time.