NAIST at the CLEF 2013 QA4MRE pilot task

Philip Arthur, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura

Research output: Contribution to journalConference articleResearchpeer-review

5 Citations (Scopus)

Abstract

This paper describes the Nara Institute of Science and Technology's system for the entrance exam pilot task of CLEF 2013 QA4MRE. The core of the system is a similar to the system for the main task of CLEF 2013 QA4MRE. We use minimum error rate training (MERT) to train the weights of the model and also propose a novel method for MERT with the addition of a threshold that defines the certainty with which we must answer questions. The system received a score of 22% c@1.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1179
Publication statusPublished - 1 Jan 2013
Event2013 Cross Language Evaluation Forum Conference, CLEF 2013 - Valencia, Spain
Duration: 23 Sep 201326 Sep 2013

Keywords

  • Discriminative learning
  • Inter-sentence features
  • Linear feature model
  • Machine reading
  • Minimum error rate training
  • Question answering

Cite this

Arthur, P., Neubig, G., Sakti, S., Toda, T., & Nakamura, S. (2013). NAIST at the CLEF 2013 QA4MRE pilot task. CEUR Workshop Proceedings, 1179.