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Found 8 results
Author Title [ Type(Desc)] Year
Filters: Author is Richard Evans  [Clear All Filters]
Book Chapter
Mitkov R, Evans R, Orăsan C, Ha L A, Pekar V.  2007.  Anaphora Resolution: To What Extent Does It Help NLP Applications? Anaphora: Analysis, Algorithms and Applications. 4410:179-190.
Evans R.  2000.  A Comparison of Rule-Based and Machine Learning Methods for Identifying Non-nominal It. Natural Language Processing — NLP 2000. 1835:233-240.
Orăsan C, Evans R, Mitkov R.  2000.  Enhancing Preference-Based Anaphora Resolution with Genetic Algorithms. Natural Language Processing — NLP 2000. 1835:185-195.
Mitkov R, Evans R, Orăsan C.  2002.  A New, Fully Automatic Version of Mitkov’s Knowledge-Poor Pronoun Resolution Method. Computational Linguistics and Intelligent Text Processing. 2276:168-186.
Conference Paper
Muñoz R, Mitkov R, Palomar M, Peral J, Evans R, Moreno L, Orăsan C, Saiz-Noeda M, Ferrández A, Barbu C et al..  2002.  Bilingual alignment of anaphoric expressions. The Third International Conference on Language Resources and Evaluation (LREC).
Evans R, Orăsan C.  2000.  Improving anaphora resolution by identifying animate entities in texts. Discourse Anaphora and Anaphor Resolution Colloquium (DAARC).
Štajner S, Evans R, Orăsan C, Mitkov R.  2012.  What Can Readability Measures Really Tell Us About Text Complexity? Natural Language Processing for Improving Textual Accessibility (NLP4ITA).
Journal Article
Orăsan C, Evans R.  2007.  NP Animacy Identification for Anaphora Resolution. Journal Of Artificial Intelligence Research. 29:79-103.