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- research-articleApril 2022
Subjective Prediction of Questions in Q & A System based on the Open Domain of Daily Life
CCEAI '22: Proceedings of the 6th International Conference on Control Engineering and Artificial IntelligencePages 42–48https://doi.org/10.1145/3522749.3523085People and computers have different understandings of questions, and people have different needs for answers. For some questions, people may not need objective answers, but developmental opinions. This paper analyzes long and difficult questions in an ...
- research-articleOctober 2018
Natural language question answering in the financial domain
CASCON '18: Proceedings of the 28th Annual International Conference on Computer Science and Software EngineeringPages 189–200This paper describes a natural language question answering system focused on answering financial domain questions using a daily updated corpus of financial reports. Financial entity types of interest included company stocks, country bonds, currencies, ...
- research-articleJanuary 2017
Ripple Down Rules for question answering
- Dat Quoc Nguyen,
- Dai Quoc Nguyen,
- Son Bao Pham,
- Christina Unger,
- Axel-Cyrille Ngonga Ngomo,
- Philipp Cimiano,
- Sören Auer,
- George Paliouras,
- Christina Unger,
- Axel-Cyrille Ngonga Ngomo,
- Philipp Cimiano,
- Sören Auer,
- George Paliouras
Recent years have witnessed a new trend of building ontology-based question answering systems. These systems use semantic web information to produce more precise answers to users’ queries. However, these systems are mostly designed for English. In this ...
- ArticleJanuary 2012
Question Answering System Based on Web
ICICTA '12: Proceedings of the 2012 Fifth International Conference on Intelligent Computation Technology and AutomationPages 573–576https://doi.org/10.1109/ICICTA.2012.150This paper summarizes the classification, implementation and evaluation of question answering system (QA). QA is divided into four categories: chat robot, QA based knowledge base, QA retrieval system and QA based on free text. Web QA system is composed ...
- research-articleNovember 2010
What aspects do people search in geo-referenced text?
LocWeb '10: Proceedings of the 3rd International Workshop on Location and the WebArticle No.: 4, Pages 1–4https://doi.org/10.1145/1899662.1899666In providing a service to mobile users, it would be critical to know what types of information they would look for in association with geo-referenced entities that may be extractable from queries or contexts. While understanding high-level user ...
- research-articleOctober 2010
Question Answering over Community-Contributed Web Videos
A novel solution to the online question-answering problem leverages community-contributed text and video answers on the Web.
- ArticleSeptember 2008
RACAI's QA system at the Romanian-Romanian QA@CLEF2008 main task
This paper describes the participation of the Research Institute for Artificial Intelligence of the Romanian Academy (RACAI) to the Multiple Language Question Answering Main Task at the CLEF 2008 competition. We present our Question Answering system ...
- ArticleNovember 2006
Query generation using semantic features
ICADL'06: Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and OpportunitiesPages 234–243https://doi.org/10.1007/11931584_26This paper describes a query generation using semantic features to represent the information demand of users for question answering and information retrieval. One of fundamental reasons why unwanted results are included in responses of all information ...
- doctoral_thesisJanuary 1992
Computer analysis of classroom questions
Classroom questioning has a long history as an instructional process. Investigation of classroom questioning, is a very labor-intensive endeavor. This study has developed the software tool, QANALYZE, an expert system shell, to aid in examination of ...