Interaction history based answer formulation for question answering
| aut.researcher | Perera, Rivindu | |
| dc.contributor.author | Perera, R | en_NZ |
| dc.contributor.author | Nand, P | en_NZ |
| dc.date.accessioned | 2015-10-14T03:16:36Z | |
| dc.date.available | 2015-10-14T03:16:36Z | |
| dc.date.copyright | 2014 | en_NZ |
| dc.date.issued | 2014 | en_NZ |
| dc.description.abstract | With the rapid growth in information access methodologies, question answering has drawn considerable attention among others. Though question answering has emerged as an interesting new research domain, still it is vastly concentrated on question processing and answer extraction approaches. Latter steps like answer ranking, formulation and presentations are not treated in depth. Weakness we found in this arena is that answers that a particular user has acquired are not considered, when processing new questions. As a result, current systems are not capable of linking two questions such as “When is the Apple founded?” with a previously processed question “When is the Microsoft founded?” generating an answer in the form of “Apple is founded one year later Microsoft founded, in 1976”. In this paper we present an approach towards question answering to devise an answer based on the questions already processed by the system for a particular user which is termed as interaction history for the user. Our approach is a combination of question processing, relation extraction and knowledge representation with inference models. During the process we primarily focus on acquiring knowledge and building up a scalable user model to formulate future answers based on current answers that same user has processed. According to evaluation we carried out based on the TREC resources shows that proposed technology is promising and effective in question answering. | en_NZ |
| dc.identifier.citation | Knowledge Engineering and the Semantic Web Volume 468 of the series Communications in Computer and Information Science pp 128-139 | en_NZ |
| dc.identifier.doi | 10.1007/978-3-319-11716-4_11 | en_NZ |
| dc.identifier.isbn | 978-3-319-11716-4 | en_NZ |
| dc.identifier.uri | https://hdl.handle.net/10292/9110 | |
| dc.publisher | Springer | en_NZ |
| dc.relation.uri | http://dx.doi.org/10.1007/978-3-319-11716-4_11 | |
| dc.rights | An author may self-archive an author-created version of his/her article on his/her own website and or in his/her institutional repository. He/she may also deposit this version on his/her funder’s or funder’s designated repository at the funder’s request or as a result of a legal obligation, provided it is not made publicly available until 12 months after official publication. He/ she may not use the publisher's PDF version, which is posted on www.springerlink.com, for the purpose of self-archiving or deposit. Furthermore, the author may only post his/her version provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at www.springerlink.com”. (Please also see Publisher’s Version and Citation). | |
| dc.rights.accessrights | OpenAccess | en_NZ |
| dc.subject | Question answering; Answer formulation; Interaction history; Natural Language Processing | |
| dc.title | Interaction history based answer formulation for question answering | en_NZ |
| dc.type | Conference Contribution | |
| pubs.elements-id | 189765 | |
| pubs.organisational-data | /AUT | |
| pubs.organisational-data | /AUT/Design & Creative Technologies |