Maternal diet is associated with the development of metabolism-related and other non-communicable diseases in offspring. Underlying mechanisms, functional profiles, and molecular markers are only starting to be revealed. Here, we explored the physiological and molecular impact of maternal Western-style diet on the liver of male and female offspring. C57BL/6 dams were exposed to either a low fat...

ion Substance Artifact Location NOWSD 0.9 36.4 1.3 1.6 SPass 0.2 54.3 0 5.2 FirstS 1.0 38.6 1.3 0.3 COMB 0.4 54.1 0.5 0 types. PTCMs particularly tended to be less specific than ATCMs. Preference models at the PP slot suffered more from sparse data than subject and direct object slots. This was because the slot is less prevalent to start with, and also because the noun lemmas were considered wi...

World Sepsis Day (WSD) was established by the Global Sepsis Alliance in 2012 and is held every 13 of September. One of the objectives is to raise global awareness of sepsis. Despite its high mortality rate [1], an international survey reported that 80–90% of the public in western countries are unfamiliar with sepsis [2]. Anno 2018, public knowledge is no longer solely obtained via television an...

Word Sense Disambiguation (WSD) is a classification task that consists of determining which of the senses of an ambiguous word is activated in a specific context. Research in this field has primarily concentrated on investigating English and a few other well-resourced languages. Recently, studies done on a corpus of Old English (Wunderlich 2015) showed that, even with limited resources, it is s...

There is an ongoing debate over the preferred method(s) for determining the reliable change (RC) in individual scores over time. In the present paper, specificity comparisons of several classic and contemporary RC models were made using a real data set. This included a more detailed review of a new RC model recently proposed in this journal, that used the within-subjects standard deviation (WSD...

Word Sense Disambiguation (WSD) is considered one of the most important problems in Natural Language Processing [1]. It is claimed that WSD is essential for those applications that require of language comprehension modules such as search engines, machine translation systems, automatic answer machines, second life agents, etc. Moreover, with the huge amounts of information in Internet and the fa...

In this paper, we proposed a new supervised word sense disambiguation (WSD) method based on a pairwise alignment technique, which is used generally to measure a similarity between DNA sequences. The new method obtained 2.8%-14.2% improvements of the accuracy in our experiment for WSD.

This paper presents a new WSD method, based in Magnini and Strapparava’s idea of using WordNet Domains in WSD. Our approach, exploits information contained in glosses of WorNet Domains and introduces a new lexical resource “Relevant Domains”. The new method developed is based in this new lexical resource and has been tested with the test data for the English all-words task in SENSEVAL2.

This paper presents the automatic construction of a Korean WordNet from pre-existing lexical resources. A set of automatic WSD techniques is described for linking Korean words collected from a bilingual MRD to English WordNet synsets. We will show how individual linking provided by each WSD method is then combined to produce a Korean WordNet for nouns.

The identification of the correct sense of a word is necessary for many tasks in automatic natural language processing like machine translation, information retrieval, speech and text processing. Automatic Word Sense Disambiguation (WSD) is difficult and accuracies with state-of-the art methods are substantially lower than in other areas of text understanding like part-ofspeech tagging. One sho...