Summary of the paper
| Title | Constructing a Question Corpus for Textual Semantic Relations |
|---|---|
| Authors | Rui Wang and Shuguang Li |
| Abstract | Finding useful questions is a challenging task in Community Question Answering (CQA). There are two key issues need to be resolved: 1) what is a useful question to the given reference question; and furthermore 2) what kind of relations exist between a given pair of questions. In order to answer these two questions, in this paper, we propose a fine-grained inventory of textual semantic relations between questions and annotate a corpus constructed from the WikiAnswers website. We also extract large archives of question pairs with user-generated links and use them as labeled data for separating useful questions from neutral ones, achieving 72.2% of accuracy. We find such online CQA repositories valuable resources for related research. |
| Topics | Corpus (creation, annotation, etc.), Textual Entailment and Paraphrasing, Question Answering |
Full paper  |
Constructing a Question Corpus for Textual Semantic Relations |
| Bibtex | @InProceedings{WANG12.1017, author = {Rui Wang and Shuguang Li}, title = {Constructing a Question Corpus for Textual Semantic Relations}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |