@inproceedings{L16-1375,
 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.
},
 address = {Portorož, Slovenia},
 author = {Djamé Seddah and Marie Candito},
 booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
 month = {May},
 pages = {2366--2370},
 publisher = {European Language Resources Association (ELRA)},
 title = {Hard Time Parsing Questions: Building a QuestionBank for French},
 url = {https://www.aclweb.org/anthology/L16-1375},
 year = {2016}
}