the link between studies in discourse analysis and corpus linguistics has created new fields of research previously unattended. one of these areas is the study of semantic prosody produced through frequent collocation of a lexical item with a collection of words. semantic prosody is the positive, negative or neutral shade of meaning which a seemingly neutral word adopts after frequent collocati...

Dimension reduction methods, such as Latent Semantic Indexing (LSI), when applied to semantic space built upon text collections, improve information retrieval, information filtering and word sense disambiguation. A new dual probability model based on the similarity concepts is introduced to provide deeper understanding of LSI. Semantic associations can be quantitatively characterized by their s...

Current psychological accounts of causal representation and reasoning do not capture phenomena related to causation by omission (e.g., “The absence of breathing causes death”), with one exception (Wolff, Barbey, & Hausknecht, 2010). We describe a novel theory of omissive causation that posits that people build discrete mental simulations – mental models – of causal relations (Goldvarg & Johnson...

among the modern methods propounded in linguistics in which they scientifically study the concept and is called semantics. in semantics, the meanings of words are explained via discovering the semantic field of words based on their relations in the semantic networks. in the context of the verses of holy quran, by help of this method, they research for the meanings of quran words. the concept of...

A common assertion is that semantic memory emerges from episodic memory, shedding the distinctive contexts associated with episodes over time and/or repeated instances. Some semantic concepts, however, may retain their episodic origins or acquire episodic information during life experiences. The current study examined this hypothesis by investigating the ERP correlates of autobiographically sig...

This paper presents a practical application of context for the evaluation of semantic similarity. The work is based on a new model for the assessment of semantic similarity among entity classes that satisfies cognitive properties of similarity and integrates contextual information. The semantic similarity model represents entity classes by their semantic relations (is-a and part-whole) and thei...

We develop a probabilistic latent-variable model to discover semantic frames—types of events or relations and their participants—from corpora. Our key contribution is a model in which (1) frames are latent categories that explain the linking of verb-subject-object triples in a given document context; and (2) cross-cutting semantic word classes are learned, shared across frames. We also introduc...

A book aiming to build a bridge between two fields that share the subject of research but do not share the same views necessarily puts itself in a difficult position: The authors have either to strike a fair balance at peril of dissatisfying both sides or nail their colors to the mast and cater mainly to one of two communities. For semantic processing of natural language with either NLP methods...