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Found 9 results
Author [ Title(Desc)] Type Year
Filters: Author is Evans, Richard  [Clear All Filters]
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A
R. Mitkov, Evans, R., Orăsan, C., Ha, L. A., and Pekar, V., Anaphora Resolution: To What Extent Does It Help NLP Applications?, in Anaphora: Analysis, Algorithms and Applications, vol. 4410, A. Branco Berlin / Heidelberg: Springer, 2007, pp. 179-190.
B
R. Muñoz, Mitkov, R., Palomar, M., Peral, J., Evans, R., Moreno, L., Orăsan, C., Saiz-Noeda, M., Ferrández, A., Barbu, C., Martínez-Barco, P., and Suárez, A., Bilingual alignment of anaphoric expressions, in The Third International Conference on Language Resources and Evaluation (LREC), Las Palmas, Canary Islands, Spain, 2002.
C
S. Štajner and Evans, R., Can Statistical Tests Be Used for Feature Selection in Diachronic Text Classification?, in Statistical Language and Speech Processing, vol. 7978, A. - H. Dediu, Martín-Vide, C., Mitkov, R., and Truthe, B. Berlin / Heidelberg: Springer, 2013, pp. 273-283.
R. Evans, A Comparison of Rule-Based and Machine Learning Methods for Identifying Non-nominal It, in Natural Language Processing — NLP 2000, vol. 1835, D. N. Christodoulakis Berlin / Heidelberg: Springer, 2000, pp. 233-240.
E
C. Orăsan, Evans, R., and Mitkov, R., Enhancing Preference-Based Anaphora Resolution with Genetic Algorithms, in Natural Language Processing — NLP 2000, vol. 1835, D. N. Christodoulakis Berlin / Heidelberg: Springer, 2000, pp. 185-195.
I
R. Evans and Orăsan, C., Improving anaphora resolution by identifying animate entities in texts, in Discourse Anaphora and Anaphor Resolution Colloquium (DAARC), Lancaster, UK, 2000.
N
R. Mitkov, Evans, R., and Orăsan, C., A New, Fully Automatic Version of Mitkov’s Knowledge-Poor Pronoun Resolution Method, in Computational Linguistics and Intelligent Text Processing, vol. 2276, A. Gelbukh Berlin / Heidelberg: Springer, 2002, pp. 168-186.
C. Orăsan and Evans, R., NP Animacy Identification for Anaphora Resolution, Journal Of Artificial Intelligence Research, vol. 29, pp. 79-103, 2007.
W
S. Štajner, Evans, R., Orăsan, C., and Mitkov, R., What Can Readability Measures Really Tell Us About Text Complexity?, in Natural Language Processing for Improving Textual Accessibility (NLP4ITA), Istanbul, Turkey, 2012.