NLP Library

Pyysalo S, Ginter F, Pahikkala T, Boberg J, Järvinen J, Salakoski T.  2006.  Evaluation of two dependency parsers on biomedical corpus targeted at protein–protein interactions. International journal of medical informatics. 75(6):430-442.

Pyysalo S, Ginter F, Pahikkala T, Boberg J, Järvinen J, Salakoski T.  2006.  Evaluation of two dependency parsers on biomedical corpus targeted at protein–protein interactions. International journal of medical informatics. 75(6):430-442.

Pekar V.  2008.  Discovery of event entailment knowledge from text corpora. Computer Speech & Language. 22(1):1-16.

Carrera J, Castellón I, Lloberes M, Padró L, Tinkova N.  2008.  Dependency Grammars in Freeling. Procesamiento del lenguaje Natural. (41):21-28.

Pishghadam R, Sabouri F.  2011.  A Chronotopic Analysis of Cover Letters in Persian and English. Cross-Cultural Communication. 7

Pyysalo S, Ginter F, Heimonen J, Björne J, Boberg J, Järvinen J, Salakoski T.  2007.  BioInfer: a corpus for information extraction in the biomedical domain. BMC Bioinformatics. 8:50.

Neviarouskaya A, Prendinger H, Ishizuka M.  2015.  Attitude Sensing in Text Based on A Compositional Linguistic Approach. Computational Intelligence. 31:256–300.

Lee S, Mortara L, Kerr C, Phaal R, Probert D.  2012.  Analysis of document–mining techniques and tools for technology intelligence: discovering knowledge from technical documents. International Journal of Technology Management. 60(1):130-156.

Lee S, Mortara L, Kerr C, Phaal R, Probert D.  2012.  Analysis of document–mining techniques and tools for technology intelligence: discovering knowledge from technical documents. International Journal of Technology Management. 60(1):130-156.

Neviarouskaya A, Prendinger H, Ishizuka M.  2011.  Affect Analysis Model: novel rule-based approach to affect sensing from text. Natural Language Engineering. 17(1):95-135.

Puşcaşu G.  2007.  WVALI: temporal relation identification by syntactico-semantic analysis. 4th International Workshop on Semantic Evaluations.

Andersson L, Lupu M, Palotti J, Hanbury A, Rauber A.  2016.  When is the Time Ripe for Natural Language Processing for Patent Passage Retrieval? 25th ACM International on Conference on Information and Knowledge Management.

Lindén K, Pirinen T.  2009.  Weighted Finite-State Morphological Analysis of Finnish Compounding with HFST-LEXC. Nordic Conference of Computational Linguistics NODALIDA 2009.

Wan S, Dras M, Dale R, Paris C.  2006.  Using Dependency-Based Features to Take the 'Para-farce' out of Paraphrase. Proceedings of the Australasian Language Technology Workshop 2006. :131-138.

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).

Wan S, Dras M, Dale R, Paris C.  2005.  Towards Statistical Paraphrase Generation: Preliminary Evaluations of Grammaticality. 3rd International Workshop on Paraphrasing (IWP2005).

Park YC, Kim PK, Golshani F, Panchanathan S.  2001.  Technique for eliminating irrelevant terms in term rewriting for annotated media retrieval. Proceedings of the ninth ACM international conference on Multimedia. :582–584.

Park YC, Kim PK, Golshani F, Panchanathan S.  2001.  Technique for eliminating irrelevant terms in term rewriting for annotated media retrieval. Proceedings of the ninth ACM international conference on Multimedia. :582–584.

Aguado de Cea G, Puche Alosete J, Ramos JA.  2008.  Tagging Spanish Texts: the Problem of ‘se’. Language Resources and Evaluation (LREC).

Cristea D, Postolache O, Ghetu L.  2003.  Summarizing documents based on cue-phrases and references. International Symposium on Reference Resolution and its Apllications to Questions Answering and Summarization.

Wan S, Dras M, Dale R, Paris C.  2005.  Statistically Generated Summary Sentences: A Preliminary Evaluation using a Dependency Relation Precision Metric. Corpus Linguistics 2005 Workshop on Using Corpora for Natural Language Generation.

Shaikh M A M, Prendinger H, Mitsuru I.  2007.  SenseNet: A Linguistic Tool to Visualize Numerical-Valance Based Sentiment of Textual Data. 5th International Conference on Natural Language Processing (ICON 2007).

Neviarouskaya A, Prendinger H, Ishizuka M.  2009.  Semantically distinct verb classes involved in sentiment analysis. IADIS International Conference APPLIED COMPUTING 2009.

Buntine W, Löfström J, Perkiö J, Perttu S, Poroshin V, Sil T, Tirri H, Tuominen A, Tuulos V.  2004.  A Scalable Topic-Based Open Source Search Engine. International conference on web intelligence, WI2004. :228–234.

Buntine W, Löfström J, Perkiö J, Perttu S, Poroshin V, Sil T, Tirri H, Tuominen A, Tuulos V.  2004.  A Scalable Topic-Based Open Source Search Engine. International conference on web intelligence, WI2004. :228–234.