NLPCS 2009: Milan, Italy

Bernadette Sharp, Michael Zock (Eds.): Natural Language Processing and Cognitive Science, Proceedings of the 6th International Workshop on Natural Language Processing and Cognitive Science, NLPCS 2009, In conjunction with ICEIS 2009, Milan, Italy, May 2009. INSTICC Press 2009, ISBN 978-989-8111-92-0

Invited Speakers

John A. Bateman: Language and Space: A Two-level Semantic Approach based on Principles of Ontological Engineering. 3-10

Full Papers

Alexandra Balahur, Ester Boldrini, Andrés Montoyo, Patricio Martínez-Barco: Cross-Topic Opinion Mining for Real-Time Human-Computer Interaction. 13-22
Rodolfo Delmonte: Computing Implicit Entities and Events with GETARUNS. 23-35
Tom Richens: Linguistically-Motivated Automatic Morphological Analysis for Wordnet Enrichment. 36-45
Chahnez Zakaria, Olivier Curé, Kamel Smaïli: Identifying Conflicts through eMails by using an Emotion Ontology. 46-54
Rahim Dehkharghani, Mehrnoush Shamsfard: Automatic Alignment of Persian and English Lexical Resources: A Structural-Linguistic Approach. 55-66
Michael Carl, Arnt Lykke Jakobsen: Objectives for a Query Language for User-activity Data. 67-76
Dominique Béroule, Michael Zock: Modelling the Tip-Of-the-Tongue State in Guided Propagation Networks. 77-93

Posters

Tiejun Zhao, Yongliang Ma, Dequan Zheng, Sheng Li: Comparative Study on Hierarchical Phrase Structures and Linguistic Phrase Structures. 97-102
Ye Wu, Fuji Ren: A Corpus-based Multi-label Emotion Classification using Maximum Entropy. 103-110
Ionut Pistol, Dan Cristea: Managing Metadata Variability within a Hierarchy of Annotation Schemas. 111-116
Gemma Bel Enguix, Verónica Dahl, Maria Dolores Jiménez-López: Mining Linguistic and Molecular Biology Texts through Specialized Concept Formation. 117-121
Christian Schneiker, Dietmar Seipel, Werner Wegstein, Klaus Prätor: Declarative Parsing and Annotation of Electronic Dictionaries. 122-132
Masao Yokota: Systematic Formulation and Computation of Subjective Spatiotemporal Knowledge based on Mental Image Directed Semantic Theory: Toward a Formal System for Natural Intelligence. 133-143

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