Loni, Babak: Enhanced Question Classification with Optimal Combination of Features - hardcover
ISBN: 9783847331346
An important component of question answering systems is question classification. The task of question classification is to predict the entity type of the answer of a natural language ques… More...
An important component of question answering systems is question classification. The task of question classification is to predict the entity type of the answer of a natural language question. For example for the given question of "what is the capital of the Netherlands?", the task of question classification is to classify this question to the category "city" since the answer type of this question is of type "city". Question classification is typically done using machine learning techniques. Different lexical, syntactical and semantic features can be extracted from a question. In this work we introduce two new semantic features which improve the accuracy of classification. Furthermore, we developed a weighed approach to optimally combine different features. We also applied Latent Semantic Analysis (LSA) technique to reduce the large feature space of questions to a much smaller and efficient feature space. Our experimental results show that our approach is successful. Buch / Mathematik, Naturwissenschaft & Technik / Informatik & EDV / Informatik<
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Enhanced Question Classification with Optimal Combination of Features - new book
ISBN: 9783847331346
An important component of question answering systems is question classification. The task of question classification is to predict the entity type of the answer of a natural language ques… More...
An important component of question answering systems is question classification. The task of question classification is to predict the entity type of the answer of a natural language question. For example for the given question of "what is the capital of the Netherlands?", the task of question classification is to classify this question to the category "city" since the answer type of this question is of type "city". Question classification is typically done using machine learning techniques. Different lexical, syntactical and semantic features can be extracted from a question. In this work we introduce two new semantic features which improve the accuracy of classification. Furthermore, we developed a weighed approach to optimally combine different features. We also applied Latent Semantic Analysis (LSA) technique to reduce the large feature space of questions to a much smaller and efficient feature space. Our experimental results show that our approach is successful. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV / Informatik<
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Babak Loni: Enhanced Question Classification with Optimal Combination of Features - new book
ISBN: 9783847331346
Babak Loni,Paperback, English-language edition,Pub by AV Akademikerverlag GmbH & Co. KG. Books Books ~~ Computers~~ Information Technology Enhanced-Question-Classification-with-Optimal-Co… More...
Babak Loni,Paperback, English-language edition,Pub by AV Akademikerverlag GmbH & Co. KG. Books Books ~~ Computers~~ Information Technology Enhanced-Question-Classification-with-Optimal-Combination-of-Features~~Babak-Loni AV Akademikerverlag GmbH & Co. KG.<
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Loni, Babak: Enhanced Question Classification with Optimal Combination of Features - Paperback
ISBN: 3847331345
Hardcover
A new approach on automated question answering systems - Buch, gebundene Ausgabe, 88 S., Beilagen: Paperback, Erschienen: 2012 LAP Lambert Academic Publishing
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(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
Enhanced Question Classification with Optimal Combination of Features - hardcover
ISBN: 9783847331346
An important component of question answering systems is question classification. The task of question classification is to predict the entity type of the answer of a natural language ques… More...
An important component of question answering systems is question classification. The task of question classification is to predict the entity type of the answer of a natural language question. For example for the given question of "what is the capital of the Netherlands?", the task of question classification is to classify this question to the category "city" since the answer type of this question is of type "city". Question classification is typically done using machine learning techniques. Different lexical, syntactical and semantic features can be extracted from a question. In this work we introduce two new semantic features which improve the accuracy of classification. Furthermore, we developed a weighed approach to optimally combine different features. We also applied Latent Semantic Analysis (LSA) technique to reduce the large feature space of questions to a much smaller and efficient feature space. Our experimental results show that our approach is successful. Buch / Mathematik, Naturwissenschaft & Technik / Informatik & EDV / Informatik<
- Nr. 35910234 Shipping costs:, , zzgl. Versandkosten, plus shipping costs
Enhanced Question Classification with Optimal Combination of Features - new book
ISBN: 9783847331346
An important component of question answering systems is question classification. The task of question classification is to predict the entity type of the answer of a natural language ques… More...
An important component of question answering systems is question classification. The task of question classification is to predict the entity type of the answer of a natural language question. For example for the given question of "what is the capital of the Netherlands?", the task of question classification is to classify this question to the category "city" since the answer type of this question is of type "city". Question classification is typically done using machine learning techniques. Different lexical, syntactical and semantic features can be extracted from a question. In this work we introduce two new semantic features which improve the accuracy of classification. Furthermore, we developed a weighed approach to optimally combine different features. We also applied Latent Semantic Analysis (LSA) technique to reduce the large feature space of questions to a much smaller and efficient feature space. Our experimental results show that our approach is successful. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV / Informatik<
Nr. Shipping costs:, Lieferzeit: 11 Tage, DE. (EUR 0.00)
Babak Loni: Enhanced Question Classification with Optimal Combination of Features - new book
ISBN: 9783847331346
Babak Loni,Paperback, English-language edition,Pub by AV Akademikerverlag GmbH & Co. KG. Books Books ~~ Computers~~ Information Technology Enhanced-Question-Classification-with-Optimal-Co… More...
Babak Loni,Paperback, English-language edition,Pub by AV Akademikerverlag GmbH & Co. KG. Books Books ~~ Computers~~ Information Technology Enhanced-Question-Classification-with-Optimal-Combination-of-Features~~Babak-Loni AV Akademikerverlag GmbH & Co. KG.<
Free Shipping on eligible orders over $25 Shipping costs:plus shipping costs
Loni, Babak: Enhanced Question Classification with Optimal Combination of Features - Paperback
ISBN: 3847331345
Hardcover
A new approach on automated question answering systems - Buch, gebundene Ausgabe, 88 S., Beilagen: Paperback, Erschienen: 2012 LAP Lambert Academic Publishing
Shipping costs:Versandkostenfrei innerhalb der BRD, plus shipping costs
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