نتایج جستجو برای: latent semantic analysis
تعداد نتایج: 2942209 فیلتر نتایج به سال:
This research aims at validating a methodology for the study of segmentation markers in large corpora. Two indices signalling a thematic break in a text are proposed. The first is based on the presence of a paragraph mark and employs the odds ratio to identify the best markers. The second takes into account lexical cohesion between sentences via an index resulting from latent semantic analysis....
This paper describes a system for the semantic-based translation of spoken or written limited-domain utterances. The semantic structure as output of a semantic decoder serves as the interlingua-level. A word chain generator combined with a linguistic post-processor produces the according word chain in the target language. Both the semantic decoder and the word chain generator work with pure sto...
We present a new measure of liquidity known as “latent liquidity” and apply it to a unique corporate bond database. Latent liquidity is defined as the weighted average turnover of investors who hold a bond, where the weights are the fractional investor holdings. It can be used to measure liquidity in markets with sparse transactions data. For bonds that trade frequently, our measure has predict...
We study in this paper the cohesion of a leader’s speeches over time. This is part of a larger project that aims at investigating the language of leaders and how their language changes over their stay in power. Here, we analyze the speeches of a leader who stayed in power for a long period of time, i.e. more than 30 years. We measure cohesion of speeches in the original language, which is...
In (1), where no by phrase is present, it is argued that we still interpret the sentence in such a way that someone or something is responsible for the destruction, whether it be a person or an explosion. In addition to this semantic intuition, there are a number of phenomena which may be seen as empirical evidence that an argument must be semantically present. These include binding and the com...
The 2014 BioASQ challenge 2a tasks participants with assigning semantic tags to biomedical journal abstracts. We present a system that uses Latent Semantic Analysis to identify semantically similar documents in MEDLINE to an unlabeled abstract, and then uses a novel ranking scheme to select a list of MeSH headers from candidates drawn from the most similar documents. Our approach achieved good ...
The Intelligence Community has systems that deal with overwhelming numbers of events that have to be analyzed in real time. Ideally these systems predict malicious events and aberrant human behavior far enough in advance so that appropriate action can be taken. The challenge is that events come from various real time sources and various databases and do not fit together well. The Intelligence C...
We carried out a comparison of cross-language retrieval methods on the NTCIR-1 data based on dimension reduction (latent semantic indexing). These methods all use a collection parallel documents (translations or approximate translations) and very little, if any, linguistic knowledge. In NTCIR-1, we compared latent semantic indexing, local LSI, and approximate dimensional equalization (ADE). We ...
Existing vector space models typically map synonyms and antonyms to similar word vectors, and thus fail to represent antonymy. We introduce a new vector space representation where antonyms lie on opposite sides of a sphere: in the word vector space, synonyms have cosine similarities close to one, while antonyms are close to minus one. We derive this representation with the aid of a thesaurus an...
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