NAIST at the CLEF 2013 QA4MRE pilot task

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

NAIST at the CLEF 2013 QA4MRE pilot task

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

Department of Data Science & AI

Research output: Contribution to journal › Conference article › Research › peer-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 language	English
Journal	CEUR Workshop Proceedings
Volume	1179
Publication status	Published - 1 Jan 2013
Event	2013 Cross Language Evaluation Forum Conference, CLEF 2013 - Valencia, Spain Duration: 23 Sep 2013 → 26 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.

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