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By Alexander Gelbukh

The volumes LNCS 9041 and 9042 represent the court cases of the sixteenth overseas convention on Computational Linguistics and clever textual content Processing, CICLing 2015, held in Cairo, Egypt, in April 2015.

The overall of ninety five complete papers offered was once rigorously reviewed and chosen from 329 submissions. They have been geared up in topical sections on grammar formalisms and lexical assets; morphology and chunking; syntax and parsing; anaphora solution and be aware feel disambiguation; semantics and discussion; computer translation and multilingualism; sentiment research and emotion detection; opinion mining and social community research; ordinary language iteration and textual content summarization; info retrieval, query answering, and knowledge extraction; textual content type; speech processing; and functions.

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Read or Download Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part I PDF

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Extra info for Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part I

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We also treat auxiliary verbs as dependents of main predicates, with the copula as a dependent of a nominal or adjectival predicate as a special case. 4 The main organizing principle of this taxonomy is the distinction between three types of syntactic structures: – Nominal phrases, primarily denoting entities but also used for other things. – Clauses headed by a predicate, usually a verb but sometimes an adjective, an adverb, or a predicate nominal. – Miscellaneous other kinds of modifier words, which may allow modifiers but which do not expand into rich structures like nominal phrases and clauses.

As can be seen from the above very cursory overview, most annotation schemes that work with a single level of syntactic annotation are inclined to adopt the strategy not to reconstruct nodes in the trees unless such a strategy prevents to capture rather complex sentence structures, or, taken from the opposite angle, they allow for reconstructions of nodes when this reconstruction is evident and well definable (as with omitted subjects and so on). It is no wonder then that in those types of ellipsis in which there is no evident position in the surface structure where a reconstructed node would be placed the treebanks capturing the surface shape of sentences ignore the fact that reconstructions would lead to a more transparent (semantic) interpretation of the sentence.

This does not preclude that UD can be useful for other purposes as well, but a few disclaimers may be appropriate in order not to create false expectations: – UD is not proposed as a linguistic theory. While we like to think that most of our design decisions are informed by linguistic theory, we are also well aware that we sometimes have to make compromises in the interest of practical utility. The representations are in general oriented towards surface syntax, but in the interest of a transparent encoding of predicate-argument structure we also encode aspects of deep syntax, and the representations probably do not correspond to any well-defined level in theoretical grammar frameworks.

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