Given a controversial issue, a major challenge in argument mining is to organize the arguments which have been mined to generate a synthesis that is readable, synthetic enough and relevant for various types of users. Based on the Generative Lexicon (GL) Qualia structure, which is a kind of lexical and knowledge repository, that we have enhanced in di↵erent manners and associated with inferences...

We present some evaluation results for four French syntactic lexica, obtained through their conversion to the Alexina format used by the Lefff lexicon (Sagot, 2010), and their integration within the large-coverage TAG-based FRMG parser (de La Clergerie, 2005). The evaluations are run on two test corpora, annotated with two distinct annotation formats, namely EASy/Passage chunks and relations an...

Fine grained opinion mining is an important task in today’s E-business world. Customers and manufacturers wanted to know about products in details. So in this paper we have studied opinion targets and opinion word extraction through dependency parsing and by applying syntactic patterns. Previously developed double propagation approach is useful for extraction task with addition of some syntacti...

New words such as names, technical terms, etc appear frequently. As such, the bilingual lexicon of a machine translation system has to be constantly updated with these new word translations. Comparable corpora such as news documents of the same period from different news agencies are readily available. In this paper, we present a new approach to mining new word translations from comparable corp...

The BioLexicon is a standardised, reusable, lexical and conceptual resource suitable for advanced biomedical text mining. One of the unique features of the BioLexicon is the incorporation of rich syntactic and semantic patterns for a wide range of domain-relevant verbs, which have been acquired semiautomatically from biomedical corpora. Such types of information can be highly beneficial for inf...

with the increase of opinionated reviews on the web, automatically analyzing and extracting knowledge from those reviews is very important. However, it is a challenging task to be done manually. Opinion mining is a text mining discipline that automatically performs such a task. Most researches done in this field were focused on English texts with very limited researches on Arabic language. This...

The trend of E-commerce and online shopping is increasing rapidly. However, it difficult to know about the quality items from pictures videos available on stores. Therefore, stores independent products reviews sites share user for ease buyers find out best products. proposed work measuring detecting product based consumers’ attitude in reviews. Predicting a customers’ challenging novel research...