Download Computational Linguistics and Intelligent Text Processing: by Ivan A. Sag, Timothy Baldwin, Francis Bond, Ann Copestake, PDF
By Ivan A. Sag, Timothy Baldwin, Francis Bond, Ann Copestake, Dan Flickinger (auth.), Alexander Gelbukh (eds.)
This booklet constitutes the refereed complaints of the 3rd foreign convention on clever textual content Processing and Computational Linguistics, CICLing 2002, held in Mexico urban, Mexico in February 2002.
The forty four revised papers provided including 4 invited papers have been rigorously reviewed and chosen from a complete of sixty seven submissions. The papers are equipped in topical sections on semantics, note feel disambiguation, amaphora, syntax and parsing, a part of speech tagging, lexicon and corpus, textual content new release, morphology, speech, spelling, info extraction and data retrieval, summarization, textual content mining, and textual content type and categorization, record processing, and demo descriptions.
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Additional resources for Computational Linguistics and Intelligent Text Processing: Third International Conference, CICLing 2002 Mexico City, Mexico, February 17–23, 2002 Proceedings
The computational implementation of perception, recognition, intention, and action is a precondition not only for the construction of [+memory,–language], but also of [+memory,+language] agents. This is because non-language-based recognition and action are an important part of the context relative to which language is interpreted. , are inherently nonlinguistic in nature. To call these structures a ‘language’ is inappropriate because it would stretch the notion of a language beyond recognition.
W. Morris (1903–1979) is pragmatics. This concern is shared by the Slim theory of language, though with the additional goal of arriving at a computational theory of natural language use in communication. 1 First Principle of Pragmatics (PoP-1) The speaker’s utterance meaning2 is the use of the sign’s literal meaning1 relative to an internal context. 2 above with the sign type ‘symbol’. The second principle introduces the STAR relative to which a content is coded by the speaker (indexing) and decoded by the hearer (retrieval).
Our argument for this, however, is functional in nature. It is based on the computationally motivated hypothesis that [–language] agents need a simpliﬁed, purpose-oriented view which is superimposed on the many details of their current recognitions and intentions. Such a view-dependent representation is called a task analysis. This momentary construction exists in addition to and simultaneously with the corresponding context. While the context constitutes the content’s literal representation, the task analysis refers to the content by using indexical pointers and metaphorically used concepts in addition to literally used concepts and private markers.