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NLP Library

Found 94 results
Author Title [ Type(Desc)] Year
Filters: First Letter Of Last Name is H  [Clear All Filters]
Book Chapter
Mitkov R, Evans R, Orăsan C, Ha L A, Pekar V.  2007.  Anaphora Resolution: To What Extent Does It Help NLP Applications? Anaphora: Analysis, Algorithms and Applications. 4410:179-190.
Sinkkilä R, Suominen O, Hyvönen E.  2011.  Automatic Semantic Subject Indexing of Web Documents in Highly Inflected Languages. The Semantic Web: Research and Applications. 6643:215-229.
Karlgren J, Eriksson G, Sahlgren M, Täckström O.  2010.  Between Bags and Trees – Constructional Patterns in Text Used for Attitude Identification. Advances in Information Retrieval. 5993:38-49.
Du M, von Etter P, Kopotev M, Novikov M, Tarbeeva N, Yangarber R.  2011.  Building Support Tools for Russian-Language Information Extraction. Text, Speech and Dialogue. 6836:380-387.
Mitkov R, Ha L A.  2003.  Computer-aided generation of multiple-choice tests. Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing. 2:17-22.
Hansen S, Schneider R.  2013.  Decision Tree-Based Evaluation of Genitive Classification – An Empirical Study on CMC and Text Corpora. Language Processing and Knowledge in the Web. 8105:83-88.
Suni A, Vainio M.  2008.  Deep Syntactic Analysis and Rule Based Accentuation in Text-to-Speech Synthesis. Text, Speech and Dialogue. 5246:535-542.
Andersson L, Lupu M, Hanbury A.  2013.  Domain Adaptation of General Natural Language Processing Tools for a Patent Claim Visualization System. Multidisciplinary Information Retrieval. 8201:70-82.
Huang J-X, Ryu P-M, Choi K-S.  2008.  An Empirical Research on Extracting Relations from Wikipedia Text. Intelligent Data Engineering and Automated Learning – IDEAL 2008. 5326:241-249.
Morneau M, Mineau GW.  2008.  Employing a Domain Specific Ontology to Perform Semantic Search. Conceptual Structures: Knowledge Visualization and Reasoning. 5113:242-254.
Wattarujeekrit T, Collier N.  2005.  Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain. Discovery Science. 3735:267-280.
Lindén K, Niemi J, Hyvärinen M.  2012.  Extending and Updating the Finnish Wordnet. Shall We Play the Festschrift Game?. :67-98.
Hinrichs EW.  2005.  Finite-State Parsing of German. Inquiries into Words, Constraints and Contexts. Festschrift for Kimmo Koskenniemi on his 60th Birthday.
Sidorov G, Herrera-de-la-Cruz J, Galicia-Haro S, Posadas-Durán J, Chanona-Hernandez L.  2011.  Heuristic Algorithm for Extraction of Facts Using Relational Model and Syntactic Data. Advances in Artificial Intelligence. 7094:328-337.
Mollá D, Hutchinson B.  2003.  Intrinsic versus extrinsic evaluations of parsing systems. Proceedings of the EACL 2003 Workshop on Evaluation Initiatives in Natural Language Processing: are evaluation methods, metrics and resources reusable?. :43–50.
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.
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.
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.
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.
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.
Hanser E, Mc Kevitt P, Lunney T, Condell J.  2009.  SceneMaker: Automatic Visualisation of Screenplays. KI 2009: Advances in Artificial Intelligence. 5803:265-272.
Hanser E, Mc Kevitt P, Lunney T, Condell J.  2009.  SceneMaker: Automatic Visualisation of Screenplays. KI 2009: Advances in Artificial Intelligence. 5803:265-272.

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