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NLP Library

Found 72 results
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Q
L. Aunimo and Kuuskoski, R., Question Answering Experiments for Finnish and French, in Accessing Multilingual Information Repositories, vol. 4022, C. Peters, Gey, F. C., Gonzalo, J., Müller, H., Jones, G., Kluck, M., Magnini, B., and de Rijke, M. Berlin / Heidelberg: Springer, 2006, pp. 477-487.
L. Aunimo, Heinonen, O., Kuuskoski, R., Makkonen, J., Petit, R., and Virtanen, O., Question Answering System for Incomplete and Noisy Data, in Advances in Information Retrieval, vol. 2633, F. Sebastiani Berlin / Heidelberg: Springer, 2003, pp. 545-545.
L. Aunimo and Kuuskoski, R., Question Answering using Semantic Annotation, in 6th Workshop of the Cross-Language Evaluation Forum (CLEF 2005), 2005.
R
G. Aguado de Cea, Álvarez-de-Mon, I., Pareja-Lora, A., and Plaza-Arteche, R., RDF(S)/XML linguistic annotation of semantic web pages, in Proceedings of the 2nd workshop on NLP and XML, vol. 17, Stroudsburg, PA, USA: Association for Computational Linguistics, 2002.
G. Aguado de Cea, Álvarez-de-Mon, I., Pareja-Lora, A., and Plaza-Arteche, R., RDF(S)/XML linguistic annotation of semantic web pages, in Proceedings of the 2nd workshop on NLP and XML, vol. 17, Stroudsburg, PA, USA: Association for Computational Linguistics, 2002.
S. Aït-Mokhtar, Chanod, J. - P., and Roux, C., Robustness beyond shallowness: incremental deep parsing, Natural Language Engineering, vol. 8, pp. 121–144, 2002.
A. Arppe, The role of morphological features in distinguishing semantically similar words in Finnish: A study of cognitive verbs, in Corpus Linguistics Conference, Birmingham, UK, 2005, vol. 1, no. 1.
S
E. Hanser, Mc Kevitt, P., Lunney, T., and Condell, J., SceneMaker: Automatic Visualisation of Screenplays, in KI 2009: Advances in Artificial Intelligence, vol. 5803, B. Mertsching, Hund, M., and Aziz, Z. Berlin / Heidelberg: Springer, 2009, pp. 265-272.
I. Aldabe, Maritxalar, M., and Mitkov, R., A Study on the Automatic Selection of Candidate Sentences Distractors, in 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, Amsterdam, The Netherlands, The Netherlands, 2009, pp. 656–658.
I. P. Temnikova, Baumgart, Jr, W. A., Hailu, N. D., Nikolova, I., McEnery, T., Kilgarriff, A., Angelova, G., and K Cohen, B., Sublanguage Corpus Analysis Toolkit: A tool for assessing the representativeness and sublanguage characteristics of corpora, in LREC, 2014.
U
A. Arppe, Univariate, bivariate, and multivariate methods in corpus-based lexicography : A study of synonymy, University of Helsinki, Helsinki, 2008.
N. Afzal, Unsupervised relation extraction for e-learning applications , University of Wolverhampton, Wolverhampton, 2012.
N. Afzal, Mitkov, R., and Farzindar, A., Unsupervised Relation Extraction Using Dependency Trees for Automatic Generation of Multiple-Choice Questions, in Advances in Artificial Intelligence, vol. 6657, C. Butz and Lingras, P. Berlin / Heidelberg: Springer , 2011, pp. 32-43.
T. Ruokolainen, Alumäe, T., and Dobrinkat, M., Using Dependency Grammar Features in Whole Sentence Maximum Entropy Language Model for Speech Recognition, in The Fourth International Conference Baltic HLT 2010, Amsterdam, The Netherlands, 2010, pp. 73–79.
S. Yoo, Gates, D., Levin, L., Fung, S., Agarwal, S., and Freed, M., Using Semantic Features to Improve Task Identification in Email Messages, in Natural Language and Information Systems, vol. 5039, E. Kapetanios, Sugumaran, V., and Spiliopoulou, M. Berlin / Heidelberg: Springe, 2008, pp. 355-357.
J. Makkonen and Ahonen-Myka, H., Utilizing Temporal Information in Topic Detection And Tracking, in Research and Advanced Technology for Digital Libraries, 7th European Conference, ECDL 2003, Trondheim, Norway, 2003, pp. 393–404.
V
L. Andersson, A vector space analysis of swedish patent claims with different linguistic indices, in 3rd international workshop on Patent information retrieval, Toronto, ON, Canada, 2010.
W
L. Andersson, Lupu, M., Palotti, J., Hanbury, A., and Rauber, A., When is the Time Ripe for Natural Language Processing for Patent Passage Retrieval?, in 25th ACM International on Conference on Information and Knowledge Management, Indianapolis, Indiana, USA, 2016.

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