An Adaptive Context-Based Algorithm for Term Weighting: Application to Single-Word Question Answering
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2748-2752.
Abstract
Term weighting systems are of crucial importance in Information Extraction and Information Retrieval applications. Common approaches to term weighting are based either on statistical or on natural language analysis. In this paper, we present a new algorithm that capitalizes from the advantages of both the strategies by adopting a machine learning approach. In the proposed method, the weights are computed by a parametric function, called Context Function, that models the semantic influence exercised amongst the terms of the same context. The Context Function is learned from examples, allowing the use of statistical and linguistic information at the same time. The novel algorithm was successfully tested on crossword clues, which represent a case of Single-Word Question Answering.
@inproceedings{ijcai2007p441,
title = {An Adaptive Context-Based Algorithm for Term Weighting: Application to Single-Word Question Answering},
author = {Ernandes, Marco and Angelini, Giovanni and Gori, Marco and Rigutini, Leonardo and Scarselli, Franco},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2748--2752},
year = {2007},
url = {https://ijcai.org/proceedings/2007/441},
}
TY - CPAPER TI - An Adaptive Context-Based Algorithm for Term Weighting: Application to Single-Word Question Answering AU - Ernandes, Marco AU - Angelini, Giovanni AU - Gori, Marco AU - Rigutini, Leonardo AU - Scarselli, Franco T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2748 EP - 2752 UR - https://ijcai.org/proceedings/2007/441 ER -Copied
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