Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Entailment-based question answering for structured data
COLING '08 22nd International Conference on on Computational Linguistics: Demonstration Papers
Detecting expected answer relations through textual entailment
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
The SWRC ontology – semantic web for research communities
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
AIR: a semi-automatic system for archiving institutional repositories
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
| Hi-index | 0.00 |
Currently access to institutional repositories is gained using dedicated web interfaces where users can enter keywords in an attempt to express their needs. In many cases this approach is rather cumbersome for users who are required to learn a syntax specific to that particular interface. To address this problem, we propose to adapt the QALL-ME framework, a reusable framework for fast development of question answering systems, in order to allow users to access information using natural language questions. This paper describes how the web services part of the QALL-ME framework had to be adapted in order to give access to information gathered from unstructured web pages by the AIR project.