By Alexander Gelbukh

The volumes LNCS 9041 and 9042 represent the complaints 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 awarded used to be conscientiously reviewed and chosen from 329 submissions. They have been prepared in topical sections on grammar formalisms and lexical assets; morphology and chunking; syntax and parsing; anaphora answer and notice experience disambiguation; semantics and discussion; desktop translation and multilingualism; sentiment research and emotion detection; opinion mining and social community research; common language iteration and textual content summarization; info retrieval, query answering, and knowledge extraction; textual content type; speech processing; and purposes.

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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

Sample text

2, the omitted noun for one of the conjuncts within coordination in the nominal group is restored by copying the node podnikání [enterprise]. (For some properties of the copied nodes, see Sect. ) 13 The reconstructed nodes in the trees are represented as squares rather than as circles. Node Reconstructions in a Dependency-Based Multilevel Annotation Scheme 25 Fig. 2. Podpora malého a středního podnikání má výrazný regionální aspekt. 3 Fig. 3 exemplifies the PDT treatment of the deletion of the identical predicate in the disjunctive coordination by means of the copied node dít se [to_happen].

Puedo afirmar mucho de su trayectoria intelectual [I can confirm much of his intellectual trajectory]. 10 See Hajič et al. (2012). 22 J. Hajič et al. g. Hajič 1998). The basic idea was to build a corpus annotated not only with respect to the part-of-speech tags and some kind of (surface) sentence structure but capturing also the syntactico-semantic, underlying structure of sentences. Emphasis was put on several specific features: (i) the annotation scheme is based on a solid, well-developed theory of an integrated language description, formulated in the 1960s and known as Functional Generative Description, (ii) the annotation scheme is “natively” dependency-based, and the annotation is manual, (iii) the “deep” syntactic dependency structure (with several semantically-oriented features, called “tectogrammatical” level of annotation) has been conceptually and physically separated from the surface dependency structure and its annotation, with full alignment between the elements (tree nodes) of both annotation levels being kept, (iv) the basic features of the information structure of the sentence (its topic-focus articulation, TFA) have been included, as a component part of the tectogrammatical annotation level, (v) from the very beginning, both the annotation process and its results have been envisaged, among other possible applications, as a good test of the underlying linguistic theory.

1. UD representation of a French sentence (attribute-value pairs). The UD tagset is a revised and extended version of the Google Universal Part-of-Speech Tagset [10], and the inventory of morphological attributes and values is based on Interset [9]. The morphological annotation is further described in Section 5. The adoption of lexicalism and word-based morphology fits very well with a dependency-based view of syntax [18], which is also the most widely used form of syntactic annotation in available treebanks.

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