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WeSearch_Adaptation_Background
Organising my thoughts
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Maria Wolters and Mathias Kirsten. Exploring the Use of Linguistic Features in Domain and Genre Classification. EACL'99
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Baldwin et al. How Noisy Social Media Text, How Diffrnt Social Media Sources?
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Barbara Plank, Gertjan van Noord: Effective Measures of Domain Similarity for Parsing. ACL 2011
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Lilja ØVRELID and Arne SKJÆRHOLT. Lexical categories for improved parsing of web data
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Bonnie Webber. Genre distinctions for discourse in the Penn TreeBank http://aclweb.org/anthology//P/P09/P09-1076.pdf
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Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing
http://aclweb.org/anthology//W/W10/W10-26.pdf
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particularly Vincent Van Asch; Walter Daelemans. Using Domain Similarity for Performance Estimation
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Daniel Gildea. Corpus Variation and Parser Performance
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Tom Lippincott; Diarmuid Ó Séaghdha; Lin Sun; Anna Korhonen. Exploring variation across biomedical subdomains
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David McClosky; Eugene Charniak; Mark Johnson. Automatic Domain Adaptation for Parsing http://aclweb.org/anthology//N/N10/N10-1004.pdf
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Barbara Plank and Khalil Sima’an. Subdomain Sensitive Statistical Parsing using Raw Corpora
http://www.lrec-conf.org/proceedings/lrec2008/pdf/120_paper.pdf
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Sujith Ravi; Kevin Knight; Radu Soricut. Automatic Prediction of Parser Accuracy
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Jennifer Foster; Ozlem Cetinoglu; Joachim Wagner; Joseph Le Roux; Joakim Nivre; Deirdre Hogan; Josef van Genabith. From News to Comment: Resources and Benchmarks for Parsing the Language of Web 2.0
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Jennifer Foster, Ozlem Cetinoglu, Joachim Wagner and Josef van Genabith, 2011. Comparing the Use of Edited and Unedited Test in Parser Self-Training
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