Background: An ongoing assessment of the literature is difficult with the rapidly increasing volume of research publications and limited effective information extraction tools which identify entity relationships from text. A recent study reported development of Muscorian, a generic text processing tool for extracting proteinprotein interactions from text that achieved comparable performance to ...

A randomized, single-center, open-label study of posaconazole (POS) was performed to determine the concentration of POS in the skin of 30 healthy adult human subjects receiving 400 mg POS oral suspension twice daily for 8 days with a high-fat meal. Blood samples for plasma POS level determination were collected at prespecified times on day 1 and day 8. From each subject, two 4-mm skin punch bio...

POS Tagging is the process of assigning a correct POS tag (can be a noun, verb, adjective, adverb, or other lexical category marker) to each word of the sentence. POS taggers are developed by modeling the morpho-syntactic structure of natural language text. We attempted to improve the accuracy of existing Telugu POS taggers by using an voting algorithm. The three Telugu Pos taggers viz., (1) Ru...

Previous research has identified neurons in the postsubiculum (PoS) and anterior dorsal thalamic nucleus (AD) of the rat that discharge as a function of the animal's head direction. In addition, anatomical studies have shown that the AD and PoS are reciprocally connected with one another. The current study examined whether head direction (HD) cells in each of the two areas is dependent on input...

This paper presents the first part-of-speech (POS) tagging research for Tigrinya (Semitic language) from the newly constructed Nagaoka Tigrinya Corpus. The raw text was extracted from a newspaper published in Eritrea in the Tigrinya language. This initial corpus was cleaned and formatted in plaintext and the Text Encoding Initiative (TEI) XML format. A tagset of 73 tags was designed, and the co...

Part-Of-Speech(POS) tagging is the essential basis of Natural language processing(NLP). In this paper, we present an algorithm that combines a variety of context features, e.g. the POS tags of the words next to the word a that needs to be tagged and the context lexical information of a by Canonical Belief Network to together determine the POS tag of a. Experiments on a Chinese corpus are conduc...

Thai part of speech (POS) tagging is a challenged problem in natural language processing. Many techniques including artificial neural network techniques are suggested for POS tagging. Research works in Thai POS tagging so far only focused on assigning word types, but not word features. This paper proposed a technique using multilayer perception for tagging word features in Thai sentences. The f...

We analyzed the effect of conditional, alphaMHC-dependent genetic beta-catenin depletion and stabilization on cardiac remodeling following experimental infarct. beta-Catenin depletion significantly improved 4-week survival and left ventricular (LV) function (fractional shortening: CT(Deltaex3-6): 24 +/- 1.9%; beta-cat(Deltaex3-6): 30.2 +/- 1.6%, P < 0.001). beta-Catenin stabilization had opposi...

Parsing speech requires a richer representation than 1-best or n-best hypotheses, e.g. lattices. Moreover, previous work shows that part-of-speech (POS) tags are a valuable resource for parsing. In this paper, we therefore explore a joint modeling approach of automatic speech recognition (ASR) and POS tagging to enrich ASR word lattices. To that end, we manipulate the ASR process from the prono...

The Part of Speech (POS) tagging refers to the process of assigning appropriate lexical category to individual word in a sentence of a natural language. This paper describes the development of a POS tagger using rule based and supervised methods in Kokborok, a resource constrained and less computerized Indian language. In case of rule based POS tagging, we took the help of a morphological analy...