Identification of Textual Contexts
Contextual information plays a key role in the automatic interpretation of text. This paper is concerned with the identification of textual contexts. A context taxonomy is introduced first, followed by an algorithm for detecting context boundaries. Experiments on the detection of subjective contexts...
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| creator | Fortu, Ovidiu Moldovan, Dan |
| description | Contextual information plays a key role in the automatic interpretation of text. This paper is concerned with the identification of textual contexts. A context taxonomy is introduced first, followed by an algorithm for detecting context boundaries. Experiments on the detection of subjective contexts using a machine learning model were performed using a set of syntactic features. |
| doi_str_mv | 10.1007/11508373_13 |
| format | Conference Proceeding |
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User interface</topic><topic>Exact sciences and technology</topic><topic>Machine Learning Model</topic><topic>Marker Movement</topic><topic>Software</topic><topic>Subjective Context</topic><topic>Syntactic Feature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fortu, Ovidiu</creatorcontrib><creatorcontrib>Moldovan, Dan</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fortu, Ovidiu</au><au>Moldovan, Dan</au><au>Leake, David</au><au>Dey, Anind</au><au>Turner, Roy</au><au>Kokinov, Boicho</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Identification of Textual Contexts</atitle><btitle>Lecture notes in computer science</btitle><date>2005</date><risdate>2005</risdate><spage>169</spage><epage>182</epage><pages>169-182</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540269243</isbn><isbn>354026924X</isbn><eisbn>9783540318903</eisbn><eisbn>3540318909</eisbn><abstract>Contextual information plays a key role in the automatic interpretation of text. This paper is concerned with the identification of textual contexts. A context taxonomy is introduced first, followed by an algorithm for detecting context boundaries. Experiments on the detection of subjective contexts using a machine learning model were performed using a set of syntactic features.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11508373_13</doi><tpages>14</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2005, p.169-182 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_17011248 |
| source | Springer Books |
| subjects | Applied sciences Computational Linguistics Computer science control theory systems Computer systems and distributed systems. User interface Exact sciences and technology Machine Learning Model Marker Movement Software Subjective Context Syntactic Feature |
| title | Identification of Textual Contexts |
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