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NLP Library

Found 463 results
Author Title [ Type(Desc)] Year
Book Chapter
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.
G. Rehm and Uszkoreit, H., Language Technology Support for Finnish, in The Finnish Language in the Digital Age, G. Rehm and Uszkoreit, H. Berlin/Heidelberg: Springer, 2012, pp. 53-69.
A. Arppe, Linguistic choices vs. probabilities – how much and what can linguistic theory explain?, in The Fruits of Empirical Linguistics: Process, S. Winkler Walter de Gruyter, 2009.
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. J. Blooma, Chua, A. Y. K., and Goh, D. H. - L., Mapping the Question Answering Domain, in Digital Libraries: Universal and Ubiquitous Access to Information, vol. 5362, G. Buchanan, Masoodian, M., and Cunningham, S. Berlin / Heidelberg: Springer, 2008, pp. 396-397.
V. Danilova, Methods and tools of computational linguistics for the classification of natural non-referential ellipsis in Spanish, in Artificial Intelligence Applications to Business and Engineering Domains, First edition., G. Setlak and Markov, K. Rzeszow, Poland; Sofia, Bulgaria: ITHEA, 2011, pp. 16-22.
M. Stede and Bieler, H., The MOTS Workbench, 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. 15-34.
X. Mao and Li, Z., Multimodal Intelligent Tutoring Systems, in E-Learning-Organizational Infrastructure and Tools for Specific Areas, E. Pontes, Silva, A., Guelfi, A., and Kofuji, S. T. InTech, 2012, pp. 83-98.
L. Coheur, Mamede, N., and Bès, G. G., A Multi-use Incremental Syntax-Semantic Interface, in Advances in Natural Language Processing, vol. 3230, J. Vicedo, Martínez-Barco, P., Muñoz, R., and Saiz Noeda, M. Berlin / Heidelberg: Springer, 2004, pp. 231-242.
Y. Yan, Li, H., Matsuo, Y., and Ishizuka, M., Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features, in Computational Linguistics and Intelligent Text Processing, vol. 6008, A. Gelbukh Berlin / Heidelberg: Springer, 2010, pp. 525-536.
R. Mitkov, Evans, R., and Orăsan, C., A New, Fully Automatic Version of Mitkov’s Knowledge-Poor Pronoun Resolution Method, in Computational Linguistics and Intelligent Text Processing, vol. 2276, A. Gelbukh Berlin / Heidelberg: Springer, 2002, pp. 168-186.
R. Mitkov, Outstanding Issues in Anaphora Resolution, in Computational Linguistics and Intelligent Text Processing, vol. 2004, A. Gelbukh Berlin / Heidelberg: Springer, 2001, pp. 110-125.
S. Linckels and Meinel, C., Part-of-Speech Taggers and Parsers, in E-Librarian Service, Berlin/Heidelberg: Springer , 2011, pp. 191-192.
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.
M. Saiz-Noeda, Palomar, M., and Moreno, L., Pronoun Resolution in Spanish from Full Parsing, in Text, Speech and Dialogue, vol. 2166, V. Matoušek, Mautner, P., Mouček, R., and Taušer, K. Berlin / Heidelberg: Springer, 2001, pp. 84-91.
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.
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.
A. Vasiļjevs, Gornostay, T., Skadiņa, I., Deksne, D., Skadiņš, R., and Pinnis, M., Recent advances in the development and sharing of language resources and tools for Latvian, in Multilingual Processing in Eastern and Southern EU Languages – Less-resourced Technologies and Translation, C. Vertan and v.Hahn, W. Cambridge Scholars Publishing, 2012.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Recognition of Affect Conveyed by Text Messaging in Online Communication, in Online Communities and Social Computing, vol. 4564, D. Schuler Berlin / Heidelberg: Springer, 2007, pp. 141-150.
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.
M. Cheadle and Gambäck, B., Robust semantic analysis for adaptive speech interfaces, in Proc. of Universal Access in HCI: Inclusive Design in the Information Society, 2003, pp. 685–689.

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