657,269
edits
m (Text replacement - " — " to " — ") |
m (Text replacement - "]." In:" to "].” In:") |
||
Line 18: | Line 18: | ||
=== 2007 === | === 2007 === | ||
* ([[2007_ANewUnsupMethForDocClust|Recupero, 2007]]) ⇒ Diego Reforgiato Recupero. ([[2007]]). “[http://dx.doi.org/10.1007/s10791-007-9035-7 A New Unsupervised Method for Document Clustering by using WordNet Lexical and Conceptual Relations]. | * ([[2007_ANewUnsupMethForDocClust|Recupero, 2007]]) ⇒ Diego Reforgiato Recupero. ([[2007]]). “[http://dx.doi.org/10.1007/s10791-007-9035-7 A New Unsupervised Method for Document Clustering by using WordNet Lexical and Conceptual Relations].” In: Information Retrieval ([[2007]]) 10:563–579. | ||
=== 2002 === | === 2002 === | ||
* ([[2002_GATEaFramework|Cunningham et al., 2002]]) ⇒ Hamish Cunningham, [[Diana Maynard]], Kalina Bontcheva, and [[Valentin Tablan]]. (2001). “[http://gate.ac.uk/sale/acl02/acl-main.pdf GATE: A Framework and Graphical Development Environment for Robust NLP Tools and Applications]. | * ([[2002_GATEaFramework|Cunningham et al., 2002]]) ⇒ Hamish Cunningham, [[Diana Maynard]], Kalina Bontcheva, and [[Valentin Tablan]]. (2001). “[http://gate.ac.uk/sale/acl02/acl-main.pdf GATE: A Framework and Graphical Development Environment for Robust NLP Tools and Applications].” In: Proceedings of the 40th Anniversary Meeting of the Association for Computational Linguistics (ACL 2002). | ||
** QUOTE: Provided with GATE is a set of reusable processing resources for common NLP tasks. (None of them are definitive, and the user can replace and/or extend them as necessary.) These are packaged together to form '''ANNIE</B>, A Nearly-New IE system, but can also be used individually or coupled together with new modules in order to create new applications. For example, many other NLP tasks might require a [[sentence splitter]] and [[POS tagger]], but would not necessarily require resources more specific to IE tasks such as a named entity transducer. The system is in use for a variety of IE and other tasks, sometimes in combination with other sets of application-specific modules. <P> '''ANNIE consists of''' the following main processing resources: [[tokeniser]], [[sentence splitter]], [[POS tagger]], [[gazetteer]], finite state transducer (based on GATE’s built-in regular expressions over annotations language (Cunningham et al., 2002)), orthomatcher and coreference resolver. The resources communicate via GATE’s annotation API, which is a directed graph of arcs bearing arbitrary feature/value data, and nodes rooting this data into document content (in this case text). | ** QUOTE: Provided with GATE is a set of reusable processing resources for common NLP tasks. (None of them are definitive, and the user can replace and/or extend them as necessary.) These are packaged together to form '''ANNIE</B>, A Nearly-New IE system, but can also be used individually or coupled together with new modules in order to create new applications. For example, many other NLP tasks might require a [[sentence splitter]] and [[POS tagger]], but would not necessarily require resources more specific to IE tasks such as a named entity transducer. The system is in use for a variety of IE and other tasks, sometimes in combination with other sets of application-specific modules. <P> '''ANNIE consists of''' the following main processing resources: [[tokeniser]], [[sentence splitter]], [[POS tagger]], [[gazetteer]], finite state transducer (based on GATE’s built-in regular expressions over annotations language (Cunningham et al., 2002)), orthomatcher and coreference resolver. The resources communicate via GATE’s annotation API, which is a directed graph of arcs bearing arbitrary feature/value data, and nodes rooting this data into document content (in this case text). | ||