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NLP Library

Found 94 results
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Book Chapter
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.
R. Sinkkilä, Suominen, O., and Hyvönen, E., Automatic Semantic Subject Indexing of Web Documents in Highly Inflected Languages, in The Semantic Web: Research and Applications, vol. 6643, G. Antoniou, Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., and Pan, J. Berlin / Heidelberg: Springer , 2011, pp. 215-229.
J. Karlgren, Eriksson, G., Sahlgren, M., and Täckström, O., Between Bags and Trees – Constructional Patterns in Text Used for Attitude Identification, in Advances in Information Retrieval, vol. 5993, C. Gurrin, He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., and van Rijsbergen, K. Berlin / Heidelberg: Springer, 2010, pp. 38-49.
M. Du, von Etter, P., Kopotev, M., Novikov, M., Tarbeeva, N., and Yangarber, R., Building Support Tools for Russian-Language Information Extraction, in Text, Speech and Dialogue, vol. 6836, I. Habernal and Matoušek, V. Berlin / Heidelberg: Springer, 2011, pp. 380-387.
R. Mitkov and Ha, L. A., Computer-aided generation of multiple-choice tests, in Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing, vol. 2, Stroudsburg, PA, USA: Association for Computational Linguistics, 2003, pp. 17-22.
S. Hansen and Schneider, R., Decision Tree-Based Evaluation of Genitive Classification – An Empirical Study on CMC and Text Corpora, in Language Processing and Knowledge in the Web, vol. 8105, I. Gurevych, Biemann, C., and Zesch, T. Berlin / Heidelberg: Springer, 2013, pp. 83-88.
A. Suni and Vainio, M., Deep Syntactic Analysis and Rule Based Accentuation in Text-to-Speech Synthesis, in Text, Speech and Dialogue, vol. 5246, P. Sojka, Horák, A., Kopeček, I., and Pala, K. Berlin / Heidelberg: Springer, 2008, pp. 535-542.
L. Andersson, Lupu, M., and Hanbury, A., Domain Adaptation of General Natural Language Processing Tools for a Patent Claim Visualization System, in Multidisciplinary Information Retrieval, vol. 8201, M. Lupu, Kanoulas, E., and Loizides, F. Berlin / Heidelberg: Springer, 2013, pp. 70-82.
J. - X. Huang, Ryu, P. - M., and Choi, K. - S., An Empirical Research on Extracting Relations from Wikipedia Text, in Intelligent Data Engineering and Automated Learning – IDEAL 2008, vol. 5326, C. Fyfe, Kim, D., Lee, S. - Y., and Yin, H. Berlin / Heidelberg: Springer, 2008, pp. 241-249.
M. Morneau and Mineau, G. W., Employing a Domain Specific Ontology to Perform Semantic Search, in Conceptual Structures: Knowledge Visualization and Reasoning, vol. 5113, P. Eklund and Haemmerlé, O. Berlin / Heidelberg: Springer, 2008, pp. 242-254.
T. Wattarujeekrit and Collier, N., Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain, in Discovery Science, vol. 3735, A. Hoffmann, Motoda, H., and Scheffer, T. Berlin / Heidelberg: Springer, 2005, pp. 267-280.
K. Lindén, Niemi, J., and Hyvärinen, M., Extending and Updating the Finnish Wordnet, in Shall We Play the Festschrift Game?, D. Santos, Lindén, K., and Ng’ang’a, W. Berlin / Heidelberg: Springer, 2012, pp. 67-98.
E. W. Hinrichs, Finite-State Parsing of German, in Inquiries into Words, Constraints and Contexts. Festschrift for Kimmo Koskenniemi on his 60th Birthday, A. Arppe, Carlson, L., Lindén, K., Piitulainen, J., Suominen, M., Vainio, M., Westerlund, H., and Yli-Jyrä, A. Stanford: CSLI Publications, 2005.
G. Sidorov, Herrera-de-la-Cruz, J., Galicia-Haro, S., Posadas-Durán, J., and Chanona-Hernandez, L., Heuristic Algorithm for Extraction of Facts Using Relational Model and Syntactic Data, in Advances in Artificial Intelligence, vol. 7094, I. Batyrshin and Sidorov, G. Berlin / Heidelberg: Springer, 2011, pp. 328-337.
D. Mollá and Hutchinson, B., Intrinsic versus extrinsic evaluations of parsing systems, in Proceedings of the EACL 2003 Workshop on Evaluation Initiatives in Natural Language Processing: are evaluation methods, metrics and resources reusable?, Stroudsburg, PA, USA: Association for Computational Linguistics, 2003, pp. 43–50.
H. Lüngen and Hebborn, M., Konstruktionsgrammatische Analyse von Gliederungsstrukturen, in Semantic Approaches in Natural Language Processing: Proceedings of the Conference on Natural Language Processing 2010, M. Pinkal, Rehbein, I., Schulte im Walde, S., and Storrer, A. Saarbrücken: universaar - Universitätsverlag des Saarlandes / Saarland University Press / Presses universitaires de la Sarre, 2010, pp. 152-157.
S. Hansen-Schirra and Neumann, S., Linguistische Verständlichmachung in der juristischen Realität, in Die Sprache des Rechts: Recht verstehen: Verstandlichkeit, Missverstandlichkeit und Unverstandlichkeit von Recht, vol. 1, K. D. Lerch Berlin: Walter de Gruyter, 2004, pp. 167-184.
J. Ebeling, Linking Dictionary and Corpus, in Out of Corpora: Studies in Honour of Stig Johansson, H. Hasselggård and Oksefjell, S. Amsterdam - Atlanta, GA: Rodopi, 1999.
N. K. Mohd Noor, Noah, S. A., Ab Aziz, M. J., and Hamzah, M. P., Malay Anaphor and Antecedent Candidate Identification: A Proposed Solution, in Intelligent Information and Database Systems, vol. 7198, J. - S. Pan, Chen, S. - M., and Nguyen, N. T. Berlin / Heidelberg: Springer, 2012, pp. 141-151.
M. Silfverberg and Lindén, K., Part-of-Speech Tagging Using Parallel Weighted Finite-State Transducers, in Advances in Natural Language Processing, vol. 6233, H. Loftsson, Rögnvaldsson, E., and Helgadóttir, S. Berlin / Heidelberg: Springer, 2010, pp. 369-380.
H. Lobin, Lüngen, H., Hilbert, M., and Bärenfänger, M., Processing Text-Technological Resources in Discourse Parsing, in Modeling, Learning, and Processing of Text Technological Data Structures, vol. 370, A. Mehler, Kühnberger, K. - U., Lobin, H., Lüngen, H., Storrer, A., and Witt, A. Berlin / Heidelberg: Springer, 2012, pp. 35-58.
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.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Recognition of Fine-Grained Emotions from Text: An Approach Based on the Compositionality Principle, in Modeling Machine Emotions for Realizing Intelligence, vol. 1, R. J. Howlett, Jain, L. C., Nishida, T., Jain, L. C., and Faucher, C. Berlin Heidelberg: Springer, 2010, pp. 179-207.
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.
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.

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