UNL as a Text Content Representation Language for Information Extraction

This paper describes a new approach for describing contents through the use of interlinguas in order to facilitate the extraction of specific pieces of information. The authors highlight the different dimensions of a document and how these dimensions define the capacities of their respective contents to be found in the scalable process of finding information. A specific interlingua, UNL, will be described. This approach is illustrated both with rich examples of the followed model and with actual applications, that includes the description of some running projects based on the interlingual representation of contents.

[1]  Teruko Mitamura,et al.  The KANT System: Fast, Accurate, High-Quality Translation in Practical Domains , 1992, COLING.

[2]  Jesús Cardeñosa Lera,et al.  The UNL Initiative: An Overview , 2005, CICLing.

[3]  Lotfi A. Zadeh,et al.  A note on web intelligence, world knowledge and fuzzy logic , 2004, Data Knowl. Eng..

[4]  Xavier Carreras,et al.  Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling , 2005, CoNLL.

[5]  Hiroshi Uchida,et al.  ATLAS II: a machine translation system using conceptual structures as an interlingua , 1988, TMI.

[6]  Sergei Nirenburg,et al.  Semantic Analysis in The Mikrokosmos Machine Translation Project , 1996 .

[7]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[8]  Carolina Gallardo Pérez,et al.  AgroExplorer : a Meaning Based Multilingual Search Engine , 2004 .

[9]  Xavier Carreras,et al.  Introduction to the CoNLL-2004 Shared Task: Semantic Role Labeling , 2004, CoNLL.

[10]  Roger C. Schank,et al.  Conceptual dependency: A theory of natural language understanding , 1972 .

[11]  Ken Litkowski,et al.  Senseval-3 task: Automatic labeling of semantic roles , 2004, SENSEVAL@ACL.

[12]  H. R. Quillian In semantic information processing , 1968 .

[13]  Kazunori Muraki,et al.  PIVOT: Two-Phase Machine Translation System , 1987, MTSUMMIT.

[14]  H. Chertkow,et al.  Semantic memory , 2002, Current neurology and neuroscience reports.

[15]  Nizar Habash,et al.  Interlingual Annotation for MT Development , 2004, AMTA.