The paper deals with current lexical databases that are seen as a basis for broad-coverage general-purpose ontologies. Various extensions and refinements of existing multilingual lexical knowledge bases are proposed with the aim of improving the capabilities of these resources. The main goal lies in the effort to gain a better lexical knowledge representation, which is crucial to coping with th...

Lexical ontologies are fundamental resources for any linguistic application with wide coverage. The reference lexical ontology is the ensemble made of Princeton WordNet, a huge semantic network, and SUMO&MILO ontology, the concepts of which are labelling each synonymic series of Princeton WordNet. This lexical ontology was developed for English language, but currently there are more than 50 sim...

In this paper, we report on methods to detect and repair lexical errors for deep grammars. The lack of coverage has for long been the major problem for deep processing. The existence of various errors in the hand-crafted large grammars prevents their usage in real applications. The manual detection and repair of errors requires a significant amount of human effort. An experiment with the Britis...

the present study aims at investigating the effect of different levels of lexical collocational density on efl learners’ reading comprehension. eighty sophomore students with different levels of proficiency studying at  zand institute of higher education in shiraz, iran were chosen from among eighty five learners based on their score distribution on a reduced toefl test constructed by education...

AI applications often receive their input in the form of natural language text, or as the transcription of spoken text. A commonsense inference system should transform such input to a formal representation with limited vocabulary in order to be able to process them. In this paper, we present a method based on neural word embeddings that automatically assigns semic features to words of natural l...

Opinion mining (OM) is a recent subdiscipline at the crossroads of information retrieval and computational linguistics which is concerned not with the topic a document is about, but with the opinions it expresses. OM has a rich set of applications, ranging from tracking users’ opinions about products or about political candidates as expressed in online forums, to customer relationship managemen...

The present paper addresses the question how in syntactic parsing the coverage of words in previously unseen text may be improved. The adjectives in English are presented here as a case study. Working on the assumption that most new words that are introduced into the language are constructed on the basis of already existing words through the application of word-formation processes, we investiga...

State-of-the-art parsers suffer from incomplete lexicons, as evidenced by the fact that they all contain built-in methods for dealing with out-of-lexicon items at parse time. Since new labelled data is expensive to produce and no amount of it will conquer the long tail, we attempt to address this problem by leveraging the enormous amount of raw text available for free, and expanding the lexicon...