The semantic web was proposed in 1994 by the inventor of the original world wide web, Sir Tim Berners-lee. He outlined a web of information that provided meaning and structure to information in a way that the existing web did not. This meaning, or semantics would allow for the automation of a greater number of tasks, such as a hospital booking that involves many agents, trust and communication ...

We develop techniques for learning the meanings of unknown words in context. Working within a com-positional semantics framework, we write down equations in which a sentence's meaning is some combination function of the meaning of its words. When one of the words is unknown, we ask for a paraphrase of the sentence. We then compute the meaning of the unknown word by inverting parts of the semant...

Davidson advocates a radical and powerful form of anti-conventionalism, on which the scope of a semantic theory is restricted to the most local of contexts: a particular utterance by a particular speaker. I argue that this hyper-localism undercuts the explanatory grounds for his assumption that semantic meaning is systematic, which is central, among other things, to his holism. More importantly...

Mandarin shape nouns, such as afanglxing2 'square' and sanljiao3xing2 'triangle', share a set of very interesting lexical semantic features. These nouns can refer to either the contour (i.e. the outside edge) or enclosed area of the shape. In this paper, we will try to explain this lexical semantic fact both in terms of the cognitive theory of grounding and the visualization. Our study will be ...

“synopsis and explainer” methodological discussion has been reflexed, in literary domain, as stipulation and constraint; but synopsis explanation seems being different to what happens in methodology because sometimes the meanings of lexical items and combinations are given on individual, probabilistic, and untrustworthy interpretations. present paper, applying few lines of nasser khosrow’s seco...

Meaning is a fundamental component of nearly all aspects of human cognition, but formal models of semantic memory have classically lagged behind many other areas of cognition. However, computational models of semantic memory have seen a surge of progress in the last two decades, advancing our knowledge of how meaning is constructed from experience, how knowledge is represented and used, and wha...

Previous studies of semantic implicit learning in language have only examined learning grammatical form-meaning connections where learning could have been supported by prior linguistic knowledge. Also, these studies assessed awareness by verbal report, which is arguably not the most reliable measure. Here we target the domain of verb meaning, specifically semantic preferences of novel verbs (e....

The Web is an information resource with unlimited potential. However, this potential is not yet fully used since it is difficult for machines to process and integrate the meaning of the information stored on the Web. Recently the Internet community has begun to explore the potential of associating web content with explicit meaning, in order to create the "Semantic Web". Rather than relying on s...

The paper discusses the lexical description and runtime treatment of multiword expressions in the Ontological Semantic (On-toSem) text processing environment. We show how our formalism permits the encoding of syntactic structures and semantic entities of any degree of complexity, and how those descriptions support the automatic generation of high quality, formal text-meaning representations fro...

We present an application of Latent Semantic Analysis to word sense discrimination within a tutor for English vocabulary learning. We attempt to match the meaning of a word in a document with the meaning of the same word in a fill-in-the-blank question. We compare the performance of the Lesk algorithm to Latent Semantic Analysis. We also compare the performance of Latent Semantic Analysis on a ...