TAC KBP Chinese Regular Slot Filling - Comprehensive Training and Evaluation Data 2014
| Item Name: | TAC KBP Chinese Regular Slot Filling - Comprehensive Training and Evaluation Data 2014 |
| Author(s): | Joe Ellis, Jeremy Getman, Stephanie Strassel |
| LDC Catalog No.: | LDC2019T08 |
| ISBN: | 1-58563-886-2 |
| ISLRN: | 228-911-774-662-0 |
| DOI: | https://doi.org/10.35111/thcb-cn24 |
| Release Date: | May 15, 2019 |
| Member Year(s): | 2019 |
| DCMI Type(s): | Text |
| Data Source(s): | newswire, discussion forum, web collection |
| Project(s): | TAC |
| Application(s): | information extraction, knowledge base population, relation extraction, knowledge representation |
| Language(s): | Mandarin Chinese |
| Language ID(s): | cmn |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2019T08 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Ellis, Joe, Jeremy Getman, and Stephanie Strassel. TAC KBP Chinese Regular Slot Filling - Comprehensive Training and Evaluation Data 2014 LDC2019T08. Web Download. Philadelphia: Linguistic Data Consortium, 2019. |
| Related Works: | View |
Introduction
TAC KBP Chinese Regular Slot Filling - Comprehensive Training and Evaluation Data 2014 was developed by the Linguistic Data Consortium (LDC) and contains training and evaluation data produced in support of the TAC KBP Chinese Regular Slot Filling evaluation track conducted in 2014.
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 regular Chinese Slot Filling evaluation track involved mining information about entities from text. Slot Filling can be viewed as more traditional Information Extraction, or alternatively, as a Question Answering task, in which the questions are static but the targets change. In completing the task, participating systems and LDC annotators searched a corpus for information on certain attributes (slots) of person and organization entities and attempted to return all valid answers (slot fillers) in the source collection. For more information about Chinese Slot Filling, please refer to the 2014 track home page.
Data
This release contains all evaluation and training data developed in support of TAC KBP Chinese Regular Slot Filling. This includes queries, the 'manual runs' (human-produced responses to the queries), the final rounds of assessment results and the complete set of Chinese source documents. 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
Please view the following samples.
Updates
None at this time.