Contextual approach for paragraph selection in question answering task

Hapnes Toba, Syandra Sari, Mirna Adriani, Ruli Manurung

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


This year we participated in the English monolingual paragraph selection task at ResPubliQA 2010. Our general strategy is to find the supporting word context from query and candidate passages during the paragraph selection. We use the techniques of state-of-the art publicly available question answering systems, i.e. Open Ephyra and JIRS, and the random projection implementation in the Semantic Vectors package to evaluate the word context. To strengthen the paragraph selection, besides the context evaluation, we also use n-gram overlapping and textual containment. Our approach has a c@1 measure of 0.73 for our pattern-based context configuration and 0.64 for our n-gram-based context configuration.

Original languageEnglish
JournalCEUR Workshop Proceedings
Publication statusPublished - 2010
Event2010 Cross Language Evaluation Forum Conference, CLEF 2010 - Padua, Italy
Duration: 22 Sept 201023 Sept 2010


  • Context supporting
  • N-gram overlapping
  • Passage retrieval
  • Random projection
  • Textual containment


Dive into the research topics of 'Contextual approach for paragraph selection in question answering task'. Together they form a unique fingerprint.

Cite this