%0 Journal Article %1 noauthororeditor %A Santhosh, Soumya %A Ali, Jahfar %D 2012 %J International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) %K &Trojon Discourse Elementary Factual Mean Mobile Network Nucleus Protocols Rhetorical Satellite Structure Theory Units Virus Wireless Worms rank reciprocal structure %N 2 %P 12 %T Discourse Based Advancement On Question Answering System %U http://airccse.org/journal/ijscai/papers/1012scai01.pdf %V 1 %X Question-answering (QA) research emerged as an attempt to tackle the information-overload problem. Question answering systems take users natural language questions and locate answers from large collections of documents. The current existing Question-Answering systems can deal with shallow questions (factual questions) somehow easily and correctly, but asking deep questions (non-factual questions or complex questions) such as Why-questions are more difficult than asking shallow questions. However, these complex questions cannot be neglected as input for a QA system as they comprise about 5 percentage of all why-questions and it shows that this kind of questions do have relevance in QA applications. The techniques that have proven to be successful in QA for factual or factoid questions that returns answer as a noun phrase are found to be not suitable for questions that expect an explanatory answer. The work made an analysis on different question answering methods and found that discourse structure based method is effective in dealing with non - factual questions. So the work discuss about the role of dscourse structure in dealing with ’why’ questions since it is based on Rhetoric Structure Theory, which helps in identifying the relationship between sentences or paragraphs from a given text or document and investigate to what extent discourse structure does indeed enable answering whyquestions %@ 23191015

@article{noauthororeditor, abstract = {Question-answering (QA) research emerged as an attempt to tackle the information-overload problem. Question answering systems take users natural language questions and locate answers from large collections of documents. The current existing Question-Answering systems can deal with shallow questions (factual questions) somehow easily and correctly, but asking deep questions (non-factual questions or complex questions) such as Why-questions are more difficult than asking shallow questions. However, these complex questions cannot be neglected as input for a QA system as they comprise about 5 percentage of all why-questions and it shows that this kind of questions do have relevance in QA applications. The techniques that have proven to be successful in QA for factual or factoid questions that returns answer as a noun phrase are found to be not suitable for questions that expect an explanatory answer. The work made an analysis on different question answering methods and found that discourse structure based method is effective in dealing with non - factual questions. So the work discuss about the role of dscourse structure in dealing with ’why’ questions since it is based on Rhetoric Structure Theory, which helps in identifying the relationship between sentences or paragraphs from a given text or document and investigate to what extent discourse structure does indeed enable answering whyquestions}, added-at = {2018-09-28T09:09:16.000+0200}, author = {Santhosh, Soumya and Ali, Jahfar}, biburl = {https://www.bibsonomy.org/bibtex/2b72995c006c7722fee2740e5261dc27b/leninsha}, interhash = {30fdacdf2a12622323abc29ca28a0567}, intrahash = {b72995c006c7722fee2740e5261dc27b}, isbn = {23191015}, journal = {International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)}, keywords = {&Trojon Discourse Elementary Factual Mean Mobile Network Nucleus Protocols Rhetorical Satellite Structure Theory Units Virus Wireless Worms rank reciprocal structure}, language = {English}, month = {october}, number = 2, pages = 12, timestamp = {2018-09-28T09:09:16.000+0200}, title = {Discourse Based Advancement On Question Answering System}, url = {http://airccse.org/journal/ijscai/papers/1012scai01.pdf}, volume = 1, year = 2012 }