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2007 - NAMED ENTITY RECOGNITION IN GREEK TEXTS WITH AN EN.pdf", "md5": "1f3ead33c9ccce20aa6870b5af0a6b7e", "mtime": 1319219313000, "tags": [], "relations": {}, "dateAdded": "2011-10-21T17:48:33Z", "dateModified": "2011-10-21T17:49:02Z" } }, { "key": "RRVRF4U2", "version": 1, "library": { "type": "group", "id": 57956, "name": "CWRC", "links": { "alternate": { "href": "https://www.zotero.org/groups/cwrc", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/57956/items/RRVRF4U2", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/cwrc/items/RRVRF4U2", "type": "text/html" } }, "meta": { "createdByUser": { "id": 503584, "username": "ajmoroz", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/ajmoroz", "type": "text/html" } } }, "creatorSummary": "Nadeau and Sekine", "parsedDate": "2007-01", "numChildren": 1 }, "data": { "key": "RRVRF4U2", "version": 1, "itemType": "journalArticle", "title": "A survey of named entity recognition and classification.", "creators": [ { "creatorType": "author", "firstName": "David", "lastName": "Nadeau" }, { "creatorType": "author", "firstName": "Satoshi", "lastName": "Sekine" } ], "abstractNote": "This survey covers fifteen years of research in the Named Entity Recognition and Classification (NERC) field, from 1991 to 2006. We report observations about languages, named entity types, domains and textual genres studied in the literature. From the start, NERC systems have been developed using hand-made rules, but now machine learning techniques are widely used. These techniques are surveyed along with other critical aspects of NERC such as features and evaluation methods. Features are word-level, dictionary-level and corpus-level representations of words in a document. Evaluation techniques, ranging from intuitive exact match to very complex matching techniques with adjustable cost of errors, are an indisputable key to progress.", "publicationTitle": "Lingvisticae Investigationes", "publisher": "", "place": "", "date": "January 2007", "volume": "30", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "3-26", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "03784169", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "EBSCOhost", "callNumber": "26168820", "rights": "", "extra": "", "tags": [ { "tag": "CLASSIFICATION", "type": 1 }, { "tag": "CONFERENCES & conventions", "type": 1 }, { "tag": "EVALUATION methodology", "type": 1 }, { "tag": "INFORMATION organization", "type": 1 }, { "tag": "INFORMATION resources", "type": 1 }, { "tag": "LEARNING", "type": 1 }, { "tag": "MACHINE learning", "type": 1 }, { "tag": "RECOGNITION (Psychology)", "type": 1 }, { "tag": "SURVEYS", "type": 1 }, { "tag": "evaluation", "type": 1 }, { "tag": "feature space", "type": 1 }, { "tag": "learning method", "type": 1 }, { "tag": "named identity", "type": 1 }, { "tag": "survey", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2011-10-21T17:48:37Z", "dateModified": "2011-10-21T17:48:37Z" } }, { "key": "HPI6V2VT", "version": 1, "library": { "type": "group", "id": 57956, "name": "CWRC", "links": { "alternate": { "href": "https://www.zotero.org/groups/cwrc", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/57956/items/HPI6V2VT", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/cwrc/items/HPI6V2VT", "type": "text/html" } }, "meta": { "createdByUser": { "id": 503584, "username": "ajmoroz", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/ajmoroz", "type": "text/html" } } }, "creatorSummary": "Nadeau et al.", "parsedDate": "2006", "numChildren": 0 }, "data": { "key": "HPI6V2VT", "version": 1, "itemType": "journalArticle", "title": "Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity", "creators": [ { "creatorType": "author", "firstName": "D.", "lastName": "Nadeau" }, { "creatorType": "author", "firstName": "P. D.", "lastName": "Turney" }, { "creatorType": "author", "firstName": "S.", "lastName": "Matwin" } ], "abstractNote": "In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human intervention such as manually labeling training data or creating gazetteers. Second, the system can handle more than the three classical named-entity types (person, location, and organization). We describe the system’s architecture and compare its performance with a supervised system. We experimentally evaluate the system on a standard corpus, with the three classical named-entity types, and also on a new corpus, with a new named-entity type (car brands).", "publicationTitle": "Lecture Notes in Computer Science", "publisher": "", "place": "", "date": "2006", "volume": "4013", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "266-277", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "", "url": "http://www.springerlink.com.login.ezproxy.library.ualberta.ca/content/t342540jv32v55w6", "accessDate": "2011-10-20T04:13:19Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2011-10-21T17:48:35Z", "dateModified": "2011-10-21T17:48:35Z" } }, { "key": "3QZXPXFG", "version": 1, "library": { "type": "group", "id": 57956, "name": "CWRC", "links": { "alternate": { "href": "https://www.zotero.org/groups/cwrc", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/57956/items/3QZXPXFG", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/cwrc/items/3QZXPXFG", "type": "text/html" } }, "meta": { "createdByUser": { "id": 503584, "username": "ajmoroz", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/ajmoroz", "type": "text/html" } } }, "creatorSummary": "LUCARELLI et al.", "parsedDate": "2007-12", "numChildren": 1 }, "data": { "key": "3QZXPXFG", "version": 1, "itemType": "journalArticle", "title": "NAMED ENTITY RECOGNITION IN GREEK TEXTS WITH AN ENSEMBLE OF SVMS AND ACTIVE LEARNING.", "creators": [ { "creatorType": "author", "firstName": "GIORGIO", "lastName": "LUCARELLI" }, { "creatorType": "author", "firstName": "XENOFON", "lastName": "VASILAKOS" }, { "creatorType": "author", "firstName": "ION", "lastName": "ANDROUTSOPOULOS" } ], "abstractNote": "We present a freely available named-entity recognizer for Greek texts that identifies temporal expressions, person, and organization names. For temporal expressions, it relies on semi-automatically produced patterns. For person and organization names, it employs an ensemble of Support Vector Machines that scan the input text in two passes. The ensemble is trained using active learning, whereby the system itself proposes candidate training instances to be annotated by a human during training. The recognizer was evaluated on both a general collection of newspaper articles and a more focussed, in terms of topics, collection of financial articles. [ABSTRACT FROM AUTHOR]\nCopyright of International Journal on Artificial Intelligence Tools is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)", "publicationTitle": "International Journal on Artificial Intelligence Tools", "publisher": "", "place": "", "date": "December 2007", "volume": "16", "issue": "6", "section": "", "partNumber": "", "partTitle": "", "pages": "1015-1045", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "02182130", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "EBSCOhost", "callNumber": "27957016", "rights": "", "extra": "", "tags": [ { "tag": "ACTIVE learning", "type": 1 }, { "tag": "ARTIFICIAL intelligence", "type": 1 }, { "tag": "COMPUTER programs", "type": 1 }, { "tag": "EXPRESSION", "type": 1 }, { "tag": "GREEK language -- Terms & phrases", "type": 1 }, { "tag": "MACHINE learning", "type": 1 }, { "tag": "Named-entity recognition", "type": 1 }, { "tag": "RECOGNITION (Psychology)", "type": 1 }, { "tag": "information extraction", "type": 1 }, { "tag": "support vector machines", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2011-10-21T17:48:33Z", "dateModified": "2011-10-21T17:48:33Z" } }, { "key": "6FEDMD36", "version": 1, "library": { "type": "group", "id": 57956, "name": "CWRC", "links": { "alternate": { "href": "https://www.zotero.org/groups/cwrc", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/57956/items/6FEDMD36", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/cwrc/items/6FEDMD36", "type": "text/html" } }, "meta": { "createdByUser": { "id": 503584, "username": "ajmoroz", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/ajmoroz", "type": "text/html" } } }, "creatorSummary": "Byrne", "parsedDate": "2007-09-17", "numChildren": 1 }, "data": { "key": "6FEDMD36", "version": 1, "itemType": "conferencePaper", "title": "Nested Named Entity Recognition in Historical Archive Text", "creators": [ { "creatorType": "author", "firstName": "K.", "lastName": "Byrne" } ], "abstractNote": "This paper describes work on Named Entity Recognition (NER), in preparation for Relation Extraction (RE), on data from a historical archive organisation. As is often the case in the cultural heritage domain, the source text includes a high percentage of specialist terminology, and is of very variable quality in terms of grammaticality and completeness. The NER and RE tasks were carried out using a specially annotated corpus, and are themselves preliminary steps in a larger project whose aim is to transform discovered relations into a graph structure that can be queried using standard tools. Experimental results from the NER task are described, with emphasis on dealing with nested entities using a multi-word token method. The overall objective is to improve access by non-specialist users to a valuable cultural resource.", "proceedingsTitle": "International Conference on Semantic Computing, 2007. ICSC 2007", "conferenceName": "International Conference on Semantic Computing, 2007. ICSC 2007", "publisher": "IEEE", "place": "", "date": "17-19 Sept. 2007", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "589-596", "series": "", "seriesNumber": "", "DOI": "10.1109/ICSC.2007.107", "ISBN": "978-0-7695-2997-4", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "English", "libraryCatalog": "IEEE Xplore", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Cultural differences", "type": 1 }, { "tag": "DATA mining", "type": 1 }, { "tag": "Database languages", "type": 1 }, { "tag": "Government", "type": 1 }, { "tag": "Informatics", "type": 1 }, { "tag": "Internet", "type": 1 }, { "tag": "Resource description framework", "type": 1 }, { "tag": "Scattering", "type": 1 }, { "tag": "Terminology", "type": 1 }, { "tag": "Text recognition", "type": 1 }, { "tag": "historical archive organisation", "type": 1 }, { "tag": "historical archive text", "type": 1 }, { "tag": "information retrieval systems", "type": 1 }, { "tag": "multi-word token method", "type": 1 }, { "tag": "nested named entity recognition", "type": 1 }, { "tag": "relation extraction", "type": 1 }, { "tag": "relational databases", "type": 1 }, { "tag": "source text", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2011-10-21T17:48:30Z", "dateModified": "2011-10-21T17:48:30Z" } }, { "key": "4V2JUD74", "version": 1, "library": { "type": "group", "id": 57956, "name": "CWRC", "links": { "alternate": { "href": "https://www.zotero.org/groups/cwrc", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/57956/items/4V2JUD74", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/cwrc/items/4V2JUD74", "type": "text/html" } }, "meta": { "createdByUser": { "id": 503584, "username": "ajmoroz", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/ajmoroz", "type": "text/html" } } }, "creatorSummary": "Babeu et al.", "parsedDate": "2007", "numChildren": 0 }, "data": { "key": "4V2JUD74", "version": 1, "itemType": "bookSection", "title": "Named Entity Identification and Cyberinfrastructure", "creators": [ { "creatorType": "author", "firstName": "Alison", "lastName": "Babeu" }, { "creatorType": "author", "firstName": "David", "lastName": "Bamman" }, { "creatorType": "author", "firstName": "Gregory", "lastName": "Crane" }, { "creatorType": "author", "firstName": "Robert", "lastName": "Kummer" }, { "creatorType": "author", "firstName": "Gabriel", "lastName": "Weaver" } ], "abstractNote": "Well-established instruments such as authority files and a growing set of data structures such as CIDOC CRM, FRBRoo, and MODS provide the foundation for emerging, new digital services. While solid, these instruments alone neither capture the essential data on which traditional scholarship depends nor enable the services which we can already identify as fundamental to any eResearch, cyberinfrastructure or virtual research environment for intellectual discourse. This paper describes a general model for primary sources, entities and thematic topics, the gap between this model and emerging infrastructure, and the tasks necessary to bridge it.", "bookTitle": "Research and Advanced Technology for Digital Libraries", "series": "", "seriesNumber": "", "volume": "4675", "numberOfVolumes": "", "edition": "", "date": "2007", "publisher": "Springer Berlin Heidelberg", "place": "Berlin, Heidelberg", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "pages": "259-270", "ISBN": "978-3-540-74850-2, 978-3-540-74851-9", "DOI": "", "citationKey": "", "url": "http://www.springerlink.com.login.ezproxy.library.ualberta.ca/content/3373t3705h972u28", "accessDate": "2011-10-20T04:21:21Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2011-10-21T17:48:27Z", "dateModified": "2011-10-21T17:48:27Z" } }, { "key": "8PGVSGAE", "version": 1, "library": { "type": "group", "id": 57956, "name": "CWRC", "links": { "alternate": { "href": "https://www.zotero.org/groups/cwrc", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/57956/items/8PGVSGAE", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/cwrc/items/8PGVSGAE", "type": "text/html" } }, "meta": { "createdByUser": { "id": 503584, "username": "ajmoroz", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/ajmoroz", "type": "text/html" } } }, "creatorSummary": "Blackwell and Crane", "parsedDate": "2009", "numChildren": 0 }, "data": { "key": "8PGVSGAE", "version": 1, "itemType": "journalArticle", "title": "Conclusion: Cyberinfrastructure, the Scaife Digital Library and Classics in a Digital age", "creators": [ { "creatorType": "author", "firstName": "Christopher", "lastName": "Blackwell" }, { "creatorType": "author", "firstName": "Gregory", "lastName": "Crane" } ], "abstractNote": "We can already begin to envision research projects that were scarcely, if at all, feasible in print culture. The papers in this collection allow us as well to enumerate the services and publication types on which emerging scholarship depends. We also need models for publication that meet the needs and realize the potential of the digital media and we describe here the Scaife Digital Library, a concrete example of true digital publication.", "publicationTitle": "Digital Humanities Quaterly", "publisher": "", "place": "", "date": "Winter 2009", "volume": "3", "issue": "1", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "DHQ", "DOI": "", "citationKey": "", "url": "http://www.digitalhumanities.org/dhq/vol/3/1/000035/000035.html#nadeau2007", "accessDate": "2011-10-20T03:52:02Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Conclusion", "language": "", "libraryCatalog": "Digital Humanities Quarterly", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2011-10-21T17:48:23Z", "dateModified": "2011-10-21T17:48:23Z" } } ]