Adequate representation of natural language semantics requires access to vast amounts of common sense and domain-specific world knowledge. Prior work in the field was based on purely statistical techniques that did not make use of background knowledge, on limited lexicographic knowledge bases such as WordNet, or on huge manual efforts such as the CYC project. Here we propose a novel method, cal...

Adequate representation of natural language semantics requires access to vast amounts of common sense and domain-specific world knowledge. Prior work in the field was either based on purely statistical techniques that did not make use of background knowledge or on huge manual efforts, such as the CYC projects. Here we propose a novel method, called Explicit Semantic Analysis (ESA), for finegrai...

The field of information retrieval and text manipulation (classification, clustering) still strives for models allowing semantic information to be folded in to improve performance with respect to standard bag-of-word based models. Many approaches aim at a concept-based retrieval, but differ in the nature of the concepts, which range from linguistic concepts as defined in lexical resources such ...

web search engines are one of the most popular tools on the internet which are widely-used by expert and novice users. constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. query expansion is a way to reduce this concern and increase user satisfaction. in this paper, a new method of query expa...

 As an integrative component of textual structure, formulaic expressions (FEs) play a key role in communicating the message and comprehending the text. Furthermore, interlingually contrastive features of FEs add to their both significance and complexity of their instruction. Given these facts, this study was an attempt to explore a sound mechanism on how to teach FEs; whether an explicit or CA-...

Latent semantic analysis (LSA) can be used to create an implicit semantic vectorial representation for words. Independent component analysis (ICA) can be derived as an extension to LSA that rotates the latent semantic space so that it becomes explicit, that is, the features correspond more with those resulting from human cognitive activity. This enables nonlinear filtering of the features, such...

This paper presents an adaptive multi domain language model built from large sources of pre existing human created structured data. The sources’ structure is exploited to create a large array of ngram language models which are dynamically interpolated at decoding time to produce a context dependent language model that continuously adapts itself to the current domain. Because the use of human an...