ADAPT.DCU at TREC LiveQA: A Sentence Retrieval based Approach to Live Question Answering

Abstract

This paper describes the work done by ADAPT centre at Dublin City University towards automatically answering questions for the TREC LiveQA track. The system is based on a sentence retrieval approach. In particular, we first use the title of a new question as a query so as to retrieve a ranked list of conceptually similar questions from an index of previously asked on Yahoo! Answers. We then extract the best matching sentences from the answers of the retrieved questions. In order to construct the final answer, we combine these sentences with the best answer of the top ranked (most similar to the query) question. When no pre-existing questions with sufficient similarity with the new one can be retrieved from the index, we output an answer from a candidate set of pre-generated answers based on the domain of the question.

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Document Details

Document Type
Technical Report
Publication Date
Nov 20, 2015
Accession Number
AD1004699

Entities

People

  • Ali H. Vahid
  • Dasha Bogdanova
  • Debasis Ganguly
  • Jennifer Foster

Organizations

  • Dublin City University

Tags

DTIC Thesaurus Topics

  • Computational Linguistics
  • Data Sets
  • Information Retrieval
  • Information Science
  • Language
  • Linguistics
  • Machine Learning
  • Natural Language Processing
  • Natural Languages
  • Statistics
  • Supervised Machine Learning
  • Test And Evaluation
  • Training
  • Web Service

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Information Retrieval