Dale / Wong / Su | Natural Language Processing -- IJCNLP 2005 | Buch | 978-3-540-29172-5 | sack.de

Buch, Englisch, Band 3651, 1034 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 3200 g

Reihe: Lecture Notes in Computer Science

Dale / Wong / Su

Natural Language Processing -- IJCNLP 2005

Buch, Englisch, Band 3651, 1034 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 3200 g

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-540-29172-5
Verlag: Springer-Verlag GmbH


The Theme of IJCNLP 2005: “NLP with Kimchee”, a Conference with a Unique Flavor Welcometo IJCNLP 2005,thesecondannualconferenceof theAsian Federation ofNaturalLanguageProcessing(AFNLP). Followingthesuccessofthe?rstc- ference held in the beautiful cityof Sanya,Hainan Island,China, in March2004, IJCNLP 2005 is held in yet another attractive Asian resort, namely Jeju Island in Korea, on October 11–13, 2005 — the ideal place and season for appreciating mugunghwa, the rose of Sharon, and the national ?ower of Korea. On behalf of the Program Committee, we are excited to present these p- ceedings, which collect together the papers accepted for oral presentation at the conference. We received 289 submissions in total, from 32 economies all over the world: 77% from Asia, 11% from Europe, 0.3% from Africa, 1.7% from Australasia and 10% from North America. We are delighted to report that the popularity of IJCNLP has signi?cantly increased this year, with an increase of 37% from the 211 submissions from 16 economies and 3 continents received for IJCNLP 2004. With such a large number of submissions, the paper selection process was not easy. With the very considerable assistance of our 12 area chairs — Claire Gardent,Jamie Henderson,Chu-Ren Huang,Kentaro Inui, GaryLee, Kim-Teng Lua, Helen Meng, Diego Moll´ a, Jian-Yun Nie, Dragomir Radev, Manfred Stede, andMing Zhou— andthe 133internationalreviewers,90papers(31%)were- cepted for oral presentation and 62 papers (21%) were recommended as posters.
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Research

Weitere Infos & Material


Information Retrieval.- Corpus-Based Parsing.- Web Mining.- Rule-Based Parsing.- Disambiguation.- Text Mining.- Document Analysis.- Ontology and Thesaurus.- Relation Extraction.- Text Classification.- Transliteration.- Machine Translation – I.- Question Answering.- Morphological Analysis.- Machine Translation – II.- Text Summarization.- Named Entity Recognition.- Linguistic Resources and Tools.- Discourse Analysis.- Semantic Analysis – I.- NLP Applications.- Tagging.- Semantic Analysis – II.- Language Models.- Spoken Language.- Terminology Mining.


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