| URL: | http://www.hlt.utdallas.edu |
| Full name: | Human Language Technology |
| Description: | The goal of the Human Language Technology Research Institute is to incorporate activities in a broad spectrum of disciplines such as natural language processing, speech recognition and synthesis, knowledge acquired from texts and information extraction. These activities enable computers to interact with humans using natural language capabilities, and to serve as useful assistants to humans by providing services such as automatic text understanding and retrieval, information extraction and question answering, automatic translation and speech recognition. |
| Year founded: | 2014 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
|
| Country/Region: | United States |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: | |
| Keywords: |
| University/Institution: | University of Texas at Dallas |
| Address: | Human Language Technology Research Institute, University of Texas at Dallas, Richardson, TX 75083-0688 |
| City: | |
| Province/State: | Texas |
| Country/Region: | United States |
| Contact name (PI/Team): | D'Souza J |
| Contact email (PI/Helpdesk): | jld082000@utdallas.edu |
|
Knowledge-rich temporal relation identification and classification in clinical notes. [PMID: 25414383]
MOTIVATION: We examine the task of temporal relation classification for the clinical domain. Our approach to this task departs from existing ones in that it is (i) 'knowledge-rich', employing sophisticated knowledge derived from discourse relations as well as both domain-independent and domain-dependent semantic relations, and (ii) 'hybrid', combining the strengths of rule-based and learning-based approaches. Evaluation results on the i2b2 Clinical Temporal Relations Challenge corpus show that our approach yields a 17-24% and 8-14% relative reduction in error over a state-of-the-art learning-based baseline system when gold-standard and automatically identified temporal relations are used, respectively. Database URL: http://www.hlt.utdallas.edu/~jld082000/temporal-relations/ |