Abstract
We present the French Question Bank, a treebank of 2600 questions. We show that classical parsing model performance drop while the inclusion of this data set is highly beneficial without harming the parsing of non-question data. when facing out-of- domain data with strong structural diver- gences. Two thirds being aligned with the QB (Judge et al., 2006) and being freely available, this treebank will prove useful to build robust NLP systems.- Anthology ID:
- L16-1375
- Volume:
- Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Month:
- May
- Year:
- 2016
- Address:
- Portorož, Slovenia
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 2366–2370
- Language:
- URL:
- https://aclanthology.org/L16-1375
- DOI:
- Cite (ACL):
- Djamé Seddah and Marie Candito. 2016. Hard Time Parsing Questions: Building a QuestionBank for French. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2366–2370, Portorož, Slovenia. European Language Resources Association (ELRA).
- Cite (Informal):
- Hard Time Parsing Questions: Building a QuestionBank for French (Seddah & Candito, LREC 2016)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/L16-1375.pdf