JUST.ASK, a QA system that learns to answer new questions from previous interactions

Sérgio Curto, Ana C. Mendes, Pedro Curto, Luísa Coheur, Ângela Costa


Abstract
We present JUST.ASK, a publicly available Question Answering system, which is freely available. Its architecture is composed of the usual Question Processing, Passage Retrieval and Answer Extraction components. Several details on the information generated and manipulated by each of these components are also provided to the user when interacting with the demonstration. Since JUST.ASK also learns to answer new questions based on users’ feedback, (s)he is invited to identify the correct answers. These will then be used to retrieve answers to future questions.
Anthology ID:
L14-1160
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2603–2607
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/130_Paper.pdf
DOI:
Bib Export formats:
BibTeX MODS XML EndNote
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/130_Paper.pdf