Abstract
Structural ambiguity is one of the most difficult problems in natural language processing. Two disambiguation mechanisms for unrestricted text analysis are commonly used: lexical knowledge and context considerations. Our parsing method includes three different mechanisms to reveal syntactic structures and an additional voting module to obtain the most probable structures for a sentence. The developed tools do not require any tagging or syntactic marking of texts.
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CITATION STYLE
Galicia-Haro, S. N., Gelbukh, A., & Bolshakov, I. A. (2001). Three mechanisms of parser driving for structure disambiguation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2004, pp. 192–194). Springer Verlag. https://doi.org/10.1007/3-540-44686-9_19
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