نتایج جستجو برای: semantic skill
تعداد نتایج: 143642 فیلتر نتایج به سال:
Named Entity Recognition (NER) and Named Entity Normalization (NEN) refer to the recognition and normalization of raw texts to known entities. From the perspective of recruitment innovation, professional skill characterization and normalization render human capital data more meaningful both commercially and socially. Accurate and detailed normalization of skills is the key for the predictive an...
Abstract Extracting semantic roles is one of the major steps in representing text meaning. It refers to finding the semantic relations between a predicate and syntactic constituents in a sentence. In this paper we present a semantic role labeling system for Persian, using memory-based learning model and standard features. Our proposed system implements a two-phase architecture to first identify...
Semantic question answering is a discipline that allows the development of smart systems through its reasoning and natural language understanding capability. Knowledge is stored based on representation format such as ontology. However, querying these knowledge requires understanding of the knowledge structure and demands the user to be equipped with the formal query construction skill. This wil...
Motor deficits are the most common outcome of brain damage. Although a large part of such disturbances arises from loss of elementary sensorimotor functions, several syndromes cannot be explained purely on these bases. In this article, we briefly describe higher-order motor impairments, with specific attention to the characteristic ability of the human hand to interact with objects and tools. D...
This paper presents data annotation models at five levels of granularity (database, relation, column, tuple, and cell) of relational data to address the problem of unsuitability of most relational databases to express annotations. These models do not require any structural and schematic changes to the underlying database. These models are also flexible, extensible, customizable, database-neutra...
We describe an approach (\variant transduction") aimed at reducing the e ort and skill involved in building spoken language interfaces. Applications are created by specifying a relatively small set of example utterance-action pairs grouped into contexts. No intermediate semantic representations are involved in the speci cation, and the con rmation requests used in the dialog are constructed aut...
traumatic brain injury (tbi) is a common injury leading to child disability and is associated with a variety of long-term cognitive, social, and behavioral dysfunctions. emotion perception (ep) starts up an integral part of social communication is critical to achieve developmentally appropriate goals. this skill, which emerges relatively early in development, is driven by increasing connectivit...
We address an omnipresent and pervasive form of human learning—skill refinement, the improvement in performance of a cognitive or motor skill with practice. A simple example of skill refinement is the psychological phenomenon of long-term repetition priming: Participants asked to read briefly presented words are more accurate if they viewed the word earlier in the experiment. We simulate variou...
Automated short-answer grading is key to help close the automation loop for large-scale, computerised testing in education. A wide range of features on different levels of linguistic processing has been proposed so far. We investigate the relative importance of the different types of features across a range of standard corpora (both from a language skill and content assessment context, in Engli...
When writing can change your life, when writing can enrich you by offering much money, why don't you try it? Are you still very confused of where getting the ideas? Do you still have no idea with what you are going to write? Now, you will need reading. A good writer is a good reader at once. You can define how you write depending on what books to read. This metadata and semantic research third ...
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