NLP Library

Mutton A, Dras M, Wan S, Dale R.  2007.  GLEU: Automatic Evaluation of Sentence-Level Fluency. 45th Annual Meeting of the Association of Computational Linguistics.

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).

Moshfeghi Y, Jose JM.  2013.  On the effectiveness of emotion extraction techniques. 10th Conference on Open Research Areas in Information Retrieval.

Moshfeghi Y.  2012.  Role of emotion in information retrieval. School of Computing Science, College of Science and Engineering. PhD

Morneau M, Mineau GW, Corbett D.  2006.  Using an automatically generated ontology to improve information retrieval. First Conceptual Structures Tool Interoperability Workshop (CS-TIW 2006).

Morneau M, Mineau GW, Corbett D.  2006.  SeseiOnto: Interfacing NLP and Ontology Extraction. IEEE/WIC/ACM International Conference on Web Intelligence. :449–455.

Morneau M, Mineau GW.  2008.  Employing a Domain Specific Ontology to Perform Semantic Search. Conceptual Structures: Knowledge Visualization and Reasoning. 5113:242-254.

Mollá D, van Zaanen M.  2006.  AnswerFinder at TREC 2005. The Fourteenth Text REtrieval Conference (TREC 2005).

Mollá D, Hutchinson B.  2002.  Dependency-Based Semantic Interpretation for Answer Extraction. 2002 Australasian NLP Workshop.

Mollá D, Wan S.  2006.  Macquarie University at DUC 2006: Question Answering for Summarisation. Document Understanding Conference (DUC).

Mollá D.  2005.  Sistemas de Búsqueda de Respuestas.

Mollá D, Gardiner M.  2004.  Answerfinder - question answering by combining lexical, syntactic and semantic information. Australasian Language Technology Workshop (ALTW) 2004. :9–16.

Mollá D, Hutchinson B.  2003.  Intrinsic versus extrinsic evaluations of parsing systems. Proceedings of the EACL 2003 Workshop on Evaluation Initiatives in Natural Language Processing: are evaluation methods, metrics and resources reusable?. :43–50.

Mollá D.  2006.  Learning of graph-based question answering rules. First Workshop on Graph Based Methods for Natural Language Processing. :37–44.

Moilanen K, Pulman S, Zhang Y.  2010.  Packed Feelings and Ordered Sentiments: Sentiment Parsing with Quasi-compositional Polarity Sequencing and Compression. 1st Workshop on Computational Approaches to Subjectivity and Sentiment Analysis.

Moilanen K, Pulman S.  2008.  The Good, the Bad, and the Unknown: Morphosyllabic Sentiment Tagging of Unseen Words. 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies. :109–112.

Mohd Noor N K, Noah S A, Ab Aziz M J, Hamzah M P.  2012.  Malay Anaphor and Antecedent Candidate Identification: A Proposed Solution. Intelligent Information and Database Systems. 7198:141-151.

Mitkov R.  2001.  Outstanding Issues in Anaphora Resolution. Computational Linguistics and Intelligent Text Processing. 2004:110-125.

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, 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.

Mitkov R.  2001.  Towards a more consistent and comprehensive evaluation of anaphora resolution algorithms and systems. Applied Artificial Intelligence. 15:253-276.

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.

Mitkov R, Hallett C.  2007.  Comparing pronoun resolution algorithms. Computational Intelligence. 23(2):262–297.

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.

Mititelu V B, Ion R.  2005.  Cross-Language Transfer Of Syntactic Relations Using Parallel Corpora. Cross-Language Knowledge Induction Workshop, Eurolan.