due to the increasing growth of digital content on the internet and social media, sentiment analysis problem is one of the emerging fields. this problem deals with information extraction and knowledge discovery from textual data using natural language processing has attracted the attention of many researchers. construction of sentiment lexicon as a valuable language resource is a one of the imp...

By integrating syntactic and semantic processing, our parser (LAZY) is able to deterministically parse sentences which syntactically appear to be garden path sentences although native speakers do not need conscious reanalysis to understand them. LAZY comprises an extension to conceptual analysis which yields an explicit representation of syntactic information and a flexible interaction between ...

We propose an intermediary-level semantic representation, providing a higher level of abstraction than syntactic parse trees, while not committing to decisions in cases such as quantification, grounding or verbspecific roles assignments. The proposal is centered around the proposition structure of the text, and includes also implicit propositions which can be inferred from the syntax but are no...

Identification of the named entities in an unstructured, human written text is a well established subtask of Natural Language Processing. However, marking each occurrence of a named entity in the text with a class label is usually not sufficient, as the same word often describe several different entities. A dedicated area of NLP, Named Entity Disambiguation, has been devised to solve this probl...

We study a flexible framework for semantic analysis of human motion from surveillance video. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. Although human motion is widely investigated, we have extended such research in three aspects. By adding a second camera, not only more reliable behavior analysis is possible...

While much of a company’s explicit knowledge can be found in text repositories, current content management systems only provide limited capabilities for structuring and making sense of documents. In the emerging Semantic Web, however, some of the traditional document search, interpretation and aggregation problems can be addressed by ontology-based semantic markup, which enables intelligent sea...

this study investigated the effect of using visual aids, semantic elaboration, and visual aids plus semantic elaboration on the iranian efl learners' vocabulary learning. to conduct the study, the researchers assigned 49 elementary learners to three homogeneous groups according to their proficiency level. then, a pre-test of paribakht and wesche's vocabulary knowledge scale was given ...

objectives: semantic feature analysis was designed to improve lexical retrieval of aphasic patients via activation of semantic networks of the words. in this approach, the anomic patients are cured with semantic information to assist oral naming. the purpose of this study was to examine the effects of semantic feature analysis treatment on anomia of two nonfluent aphasic patients. methods: a si...