Summary of the paper
| Title | Extraction of Daily Changing Words for Question Answering |
|---|---|
| Authors | Kugatsu Sadamitsu, Ryuichiro Higashinaka and Yoshihiro Matsuo |
| Abstract | This paper proposes a method for extracting Daily Changing Words (DCWs), words that indicate which questions are real-time dependent. Our approach is based on two types of template matching using time and named entity slots from large size corpora and adding simple filtering methods from news corpora. Extracted DCWs are utilized for detecting and sorting real-time dependent questions. Experiments confirm that our DCW method achieves higher accuracy in detecting real-time dependent questions than existing word classes and a simple supervised machine learning approach. |
| Topics | Lexicon, Lexical Database, Information Extraction, Information Retrieval |
Full paper  |
Extraction of Daily Changing Words for Question Answering |
| Bibtex | @InProceedings{SADAMITSU14.271, author = {Kugatsu Sadamitsu and Ryuichiro Higashinaka and Yoshihiro Matsuo}, title = {Extraction of Daily Changing Words for Question Answering}, 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} } |