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NLP Library

Found 463 results
Author Title [ Type(Desc)] Year
Book Chapter
Lüngen H, Hebborn M.  2010.  Konstruktionsgrammatische Analyse von Gliederungsstrukturen. Semantic Approaches in Natural Language Processing: Proceedings of the Conference on Natural Language Processing 2010. :152-157.
Rehm G, Uszkoreit H.  2012.  Language Technology Support for Finnish. The Finnish Language in the Digital Age. :53-69.
Arppe A.  2009.  Linguistic choices vs. probabilities – how much and what can linguistic theory explain? The Fruits of Empirical Linguistics: Process.
Hansen-Schirra S, Neumann S.  2004.  Linguistische Verständlichmachung in der juristischen Realität. Die Sprache des Rechts: Recht verstehen: Verstandlichkeit, Missverstandlichkeit und Unverstandlichkeit von Recht. 1:167-184.
Ebeling J.  1999.  Linking Dictionary and Corpus. Out of Corpora: Studies in Honour of Stig Johansson.
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.
Blooma M J, Chua A Y K, Goh D H-L.  2008.  Mapping the Question Answering Domain. Digital Libraries: Universal and Ubiquitous Access to Information. 5362:396-397.
Danilova V.  2011.  Methods and tools of computational linguistics for the classification of natural non-referential ellipsis in Spanish. Artificial Intelligence Applications to Business and Engineering Domains. :16-22.
Stede M, Bieler H.  2012.  The MOTS Workbench. Modeling, Learning, and Processing of Text Technological Data Structures. 370:15-34.
Mao X, Li Z.  2012.  Multimodal Intelligent Tutoring Systems. E-Learning-Organizational Infrastructure and Tools for Specific Areas. :83-98.
Coheur L, Mamede N, Bès GG.  2004.  A Multi-use Incremental Syntax-Semantic Interface. Advances in Natural Language Processing. 3230:231-242.
Yan Y, Li H, Matsuo Y, Ishizuka M.  2010.  Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features. Computational Linguistics and Intelligent Text Processing. 6008:525-536.
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.  2001.  Outstanding Issues in Anaphora Resolution. Computational Linguistics and Intelligent Text Processing. 2004:110-125.
Linckels S, Meinel C.  2011.  Part-of-Speech Taggers and Parsers. E-Librarian Service. :191-192.
Silfverberg M, Lindén K.  2010.  Part-of-Speech Tagging Using Parallel Weighted Finite-State Transducers. Advances in Natural Language Processing. 6233:369-380.
Lobin H, Lüngen H, Hilbert M, Bärenfänger M.  2012.  Processing Text-Technological Resources in Discourse Parsing. Modeling, Learning, and Processing of Text Technological Data Structures. 370:35-58.
Saiz-Noeda M, Palomar M, Moreno L.  2001.  Pronoun Resolution in Spanish from Full Parsing. Text, Speech and Dialogue. 2166:84-91.
Aunimo L, Kuuskoski R.  2006.  Question Answering Experiments for Finnish and French. Accessing Multilingual Information Repositories. 4022:477-487.
Aunimo L, Heinonen O, Kuuskoski R, Makkonen J, Petit R, Virtanen O.  2003.  Question Answering System for Incomplete and Noisy Data. Advances in Information Retrieval. 2633:545-545.
Aguado de Cea G, Álvarez-de-Mon I, Pareja-Lora A, Plaza-Arteche R.  2002.  RDF(S)/XML linguistic annotation of semantic web pages. Proceedings of the 2nd workshop on NLP and XML. 17
Vasiļjevs A, Gornostay T, Skadiņa I, Deksne D, Skadiņš R, Pinnis M.  2012.  Recent advances in the development and sharing of language resources and tools for Latvian. Multilingual Processing in Eastern and Southern EU Languages – Less-resourced Technologies and Translation.
Neviarouskaya A, Prendinger H, Ishizuka M.  2007.  Recognition of Affect Conveyed by Text Messaging in Online Communication. Online Communities and Social Computing. 4564:141-150.
Neviarouskaya A, Prendinger H, Ishizuka M.  2010.  Recognition of Fine-Grained Emotions from Text: An Approach Based on the Compositionality Principle. Modeling Machine Emotions for Realizing Intelligence. 1:179-207.
Cheadle M, Gambäck B.  2003.  Robust semantic analysis for adaptive speech interfaces. Proc. of Universal Access in HCI: Inclusive Design in the Information Society. :685–689.

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