Summary of the paper

Title An Evaluation of Technologies for Knowledge Base Population
Authors Paul McNamee, Hoa Trang Dang, Heather Simpson, Patrick Schone and Stephanie M. Strassel
Abstract Previous content extraction evaluations have neglected to address problems which complicate the incorporation of extracted information into an existing knowledge base. Previous question answering evaluations have likewise avoided tasks such as explicit disambiguation of target entities and handling a fixed set of questions about entities without previous determination of possible answers. In 2009 NIST conducted a Knowledge Base Population track at its Text Analysis Conference to unite the content extraction and question answering communities and jointly explore some of these issues. This exciting new evaluation attracted 13 teams from 6 countries that submitted results in two tasks, Entity Linking and Slot Filling. This paper explains the motivation and design of the tasks, describes the language resources that were developed for this evaluation, offers comparisons to previous community evaluations, and briefly summarizes the performance obtained by systems. We also identify relevant issues pertaining to target selection, challenging queries, and performance measures.
Topics LR national/international projects, organizational/policy issues, Knowledge Discovery/Representation, Evaluation methodologies
Full paper An Evaluation of Technologies for Knowledge Base Population
Slides An Evaluation of Technologies for Knowledge Base Population
Bibtex @InProceedings{MCNAMEE10.634,
  author = {Paul McNamee and Hoa Trang Dang and Heather Simpson and Patrick Schone and Stephanie M. Strassel},
  title = {An Evaluation of Technologies for Knowledge Base Population},
  booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
Powered by ELDA © 2010 ELDA/ELRA