this research, relying on critical discourse analysis(cda), has proceed to analyze ten novels of modern iranian men and women writers.in the field of lexicon, using marked lexicon and metaphor, and in the section of syntax, using syntactic non – norm in the texts, it has compared active vs. passive sentences, long vs. short sentences, and direct vs. indirect speech with regard to gender of the ...

TreeLex is a subcategorization lexicon of French, automatically extracted from a syntactically annotated corpus. The lexicon comprises 2006 verbs (25076 occurrences). The goal of the project is to obtain a list of subcategorization frames of contemporary French verbs and to estimate the number of different verb frames available in French in general. A few more frames are discovered when the cor...

The POETIC Lexicon Lynne Cahill, of the University of Sussex, England, presented the design an d specifications for the lexicon used in their Traffic Information Collator system, and what problem s they encountered in porting it to the MUC task . This is an information extraction system used by local police personnel for traffic reports . The domain is characterized by a fairly tight and limite...

We have implemented a simple model of puns in a program (BOKE) which generates puns in Japanese, using linguistic information from a general–purpose lexicon. Our evaluation indicates that the puns generated by the program are of comparable quality to those generated by humans. BOKE differs from an earlier English-language system (JAPE) only in the lexicon and the templates used to generate the ...

Opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. In general, opinion mining extracts user reviews at three levels of document, sentence and feature. Opinion mining at the feature level is taken into consideration more than the other two levels d...

The knowledge representation tradition in computational lexicon design represents words as static encapsulations of purely lexical knowledge. We suggest that this view poses certain limitations on the ability of the lexicon to generate nuance-laden and context-sensitive meanings, because word boundaries are obstructive, and the impact of non-lexical knowledge on meaning is unaccounted for. Hopi...

For mining intellectual property texts (patents), a broad-coverage lexicon that covers general English words together with terminology from the patent domain is indispensable. The patent domain is very diffuse as it comprises a variety of technical domains (e.g. Human Necessities, Chemistry & Metallurgy and Physics in the International Patent Classification). As a result, collecting a lexicon t...

Sentiment analysis over social streams offers governments and organisations a fast and effective way to monitor the publics’ feelings towards policies, brands, business, etc. General purpose sentiment lexicons have been used to compute sentiment from social streams, since they are simple and effective. They calculate the overall sentiment of texts by using a general collection of words, with pr...

In recent years, lexicon acquisition from machine-readable dictionaries and corpora has been a dynamic field of research. However it has not always been evident how lexical information so acquired can be used, or how it relates to more structured meaning representations. In this paper I look at this issue in relation to one particular NLP task, Information Extraction (hereafter IE), and one sub...