Summary of the paper
| Title | JUST.ASK, a QA System that Learns to Answer New Questions from Previous Interactions |
|---|---|
| Authors | Sérgio Curto, Ana C. Mendes, Pedro Curto, Luísa Coheur and Angela 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. |
| Topics | Tools, Systems, Applications, Information Extraction, Information Retrieval |
Full paper  |
JUST.ASK, a QA System that Learns to Answer New Questions from Previous Interactions |
| Bibtex | @InProceedings{CURTO14.130, author = {Sérgio Curto and Ana C. Mendes and Pedro Curto and Luísa Coheur and Angela Costa}, title = {JUST.ASK, a QA System that Learns to Answer New Questions from Previous Interactions}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |