You are here

NLP Library

Found 25 results
Author Title [ Type(Asc)] Year
Filters: Author is Mitkov, Ruslan  [Clear All Filters]
Journal Article
Mitkov R.  2001.  Towards a more consistent and comprehensive evaluation of anaphora resolution algorithms and systems. Applied Artificial Intelligence. 15:253-276.
Štajner S, Mitkov R, Leech G.  2014.  Natural Language Processing methodology for tracking diachronic changes in the 20th century English language. Journal of Research Design and Statistics in Linguistics and Communication Science. 1(1)
Rello L, Suárez P, Mitkov R.  2010.  A machine learning method for identifying impersonal constructions and zero pronouns in Spanish. Procesamiento de Lenguaje Natural. 45:281–285.
Mitkov R, Ha L A, Karamanis N.  2006.  A computer-aided environment for generating multiple-choice test items. Natural Language Engineering. 12:177–194.
Mitkov R, Hallett C.  2007.  Comparing pronoun resolution algorithms. Computational Intelligence. 23(2):262–297.
Conference Paper
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).
Štajner S, Mitkov R.  2012.  Using Comparable Corpora to Track Diachronic and Synchronic Changes in Lexical Density and Lexical Richness. The 5th Workshop on Building and Using Comparable Corpora.
Aldabe I, Maritxalar M, Mitkov R.  2009.  A Study on the Automatic Selection of Candidate Sentences Distractors. 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling. :656–658.
Barbu C, Mitkov R.  2001.  Evaluation tool for rule-based anaphora resolution methods. the 39th Annual Meeting on Association for Computational Linguistics.
Rello L, Baeza-Yates R, Mitkov R.  2012.  Elliphant: Improved Automatic Detection of Zero Subjects and Impersonal Constructions in Spanish. 13th Conference of the European chapter of the Association for Computational Linguistics (EACL 2012).
Štajner S, Mitkov R.  2012.  Diachronic Changes in Text Complexity in 20th Century English Language: An NLP Approach. Eight International Conference on Language Resources and Evaluation (LREC'12).
Štajner S, Mitkov R.  2012.  Diachronic Changes in Text Complexity in 20th Century English Language: An NLP Approach. The eighth international conference on Language Resources and Evaluation (LREC).
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).
Book Chapter
Dyka S, Novakova I, Siepmann D.  2017.  A Web of Analogies: Depictive and Reaction Object Constructions in Modern English and French Fiction. Computational and Corpus-Based Phraseology: Second International Conference, Europhras 2017, London, UK, November 13-14, 2017, Proceedings. :87–101.
Afzal N, Mitkov R, Farzindar A.  2011.  Unsupervised Relation Extraction Using Dependency Trees for Automatic Generation of Multiple-Choice Questions. Advances in Artificial Intelligence. 6657:32-43.
Štajner S, Mitkov R, Corpas Pastor G.  2015.  Simple or Not Simple? A Readability Question Language Production, Cognition, and the Lexicon. 48:379-398.
Mitkov R.  2001.  Outstanding Issues in Anaphora Resolution. Computational Linguistics and Intelligent Text Processing. 2004:110-125.
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.
Ilisei I, Inkpen D, Corpas Pastor G, Mitkov R.  2010.  Identification of Translationese: A Machine Learning Approach. Computational Linguistics and Intelligent Text Processing. 6008:503-511.
Lalitha Devi S, Kuppan S, Venkataswamy K, Rao PRK.  2009.  Identification of Similar Documents Using Coherent Chunks. Anaphora Processing and Applications. 5847:54-68.
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, Ha L A.  2003.  Computer-aided generation of multiple-choice tests. Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing. 2:17-22.
Štajner S, Evans R.  2013.  Can Statistical Tests Be Used for Feature Selection in Diachronic Text Classification? Statistical Language and Speech Processing. 7978:273-283.
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.