NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline
Year: 2018
Type: article
Abstract: We constructed a pipeline-based system for participation in the 2018 pilot NIST SM-KBP evaluation. Our pipeline was assembled from a series of components representing contemporary approaches to each of the distinct Information Extraction and Machine Translation tasks required. Our goals for this system were: (1) to demonstrate an extant SM-KBP capability (can we run on the data and produce a valid output); and (2) to stand as a non-trivial baseline for contrasting against our future efforts for this task.
Source: HAL
Institution: Johns Hopkins University
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2971075654