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Topic: Semantic feature

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Semantic class

Semantics

Copula

Hyponym

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Sociolinguistics

Polysemy

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	Semantic feature - Wikipedia, the free encyclopedia
		A semantic feature is a notational method which can be used to express the existence or non-existence of semantic properties by using plus and minus signs.
		Semantic features are the main subject of the present paper.
		The notion of the semantic feature is first associated with the name of Uriel Wenireich (1966), who proposed a useful distinction between a paradigmatic semantic feature ‘(approximately as in componential analysis, (Bendix 1965)’ and a transfer feature.
	en.wikipedia.org /wiki/Semantic_feature (1562 words)

	Semantics Article, Semantics Information (Site not responding. Last check: 2007-10-29)
		Semantics is often opposed to syntax, in which case the former pertains to what something means while the latter pertains to theformal structure/patterns in which something is expressed (e.g.
		Semantics is a subfield of linguistics that istraditionally defined as the study of meaning of (parts of) words, phrases,sentences, and texts.
		Many of the formal approaches to semantics applied in linguistics, mathematical logic and computer science originated intechniques for the semantics of logic, most influentially being Alfred Tarski 's ideas in model theory and his semantic theoryof truth.
	www.anoca.org /linguistics/semantic/semantics.html (343 words)

	A Knowledge based Navigation System with a Semantic Map Approach (Site not responding. Last check: 2007-10-29)
		By using our framework, it is possible to extract the knowledge on the semantic features of the whole hyperspace and the states of exploratory activities and structure in topological order.
		An extended self-organizing feature map is used as the semantic feature map of the hyperspace, in short Hy-SOM.
		To express the semantic structure, a map, composed by the semantic features of the links between elements in hyperspace, called the Hy-SOM, is introduced.
	ifets.ieee.org /periodical/vol_2_2001/kayama.html (3774 words)

	Progressive search and retrieval in large image archives
		Semantic objects are typically predefined by applying classification algorithms to image features (such as texture or spectral histograms), or to the original data.
		Note that the primary distinction between semantic objects and feature objects is that semantic objects have a semantic label (such as "water" or "pine forest"), while feature objects are simply characterized by their feature values.
		Operators (such as retrieval from existing files, classification, feature extraction, and segmentation) produce candidate objects that are either "sharp" (e.g., a body of water) or "fuzzy" (e.g., a texture object that is similar to a user-provided sample image).
	www.research.ibm.com /journal/rd/422/castelli.html (7646 words)

	Construction of QLF's
		feature of the head is passed up to the mother (see figure 1).
		The semantics of the noun is unified with restriction of the determiner.
		The lambda variables of the two formulas are unified and the semantic content of the structure is the conjunction of the logical formula of the adjective and the logical formula of the structure it modifies.
	odur.let.rug.nl /~vannoord/papers/nle/node21.html (459 words)

	Carlshamre: Metaphors
		A dictionary entry is associated with a set of semantic[19] features, and a metaphoric use of an expression involves constructing a different set of features for it than in the normal course of semantic interpretation.
		In the terminology of situation semantics, metaphor seems to be involved in the ordinary textual transition from the utterance situation to the described situation, while allegory seems to be a relation between the linguistically described situation, and some further situation.
		Semantically they behave in some ways like pronouns, and the "feature" transferred by the metaphor is often an attitude or a valuation, rather than any descriptive charcterization.
	www.philosophy.su.se /personal/staffanstexter/metaphors.htm (6637 words)

	[No title] (Site not responding. Last check: 2007-10-29)
		Semantics was either treated in the formal and philosophical realm of truth conditional semantics or as an appendix to syntactic structures, in deep structure, or in the context of combinatorial properties of words.
		Her hypothesis was that there is a fixed sequential order in the acquisition of semantic features for individual lexical items, as well as a pattern of acquisition for groups of words which are semantically related to one another.
		Contrary to semantic feature-theories of meaning which were based on the theorem of the autonomy of language and linguistics, these new approaches to metaphor emphasised strongly that language is linked to imagination, memory, perception, and cognition, and cannot be understood in isolation.
	www.psyc.leeds.ac.uk /research/metaphor/SemDev (17094 words)

	Validity Maintenance in Semantic Feature Modeling (Site not responding. Last check: 2007-10-29)
		In semantic feature modeling, feature specification is done declaratively in feature classes, using a variety of constraint types.
		A feature class is a structured description of all properties of a given feature type, and includes the validity conditions that all its feature instances should satisfy.
		Feature interactions, which arise from modeling operations such as the creation of a new feature or the modification of an existing feature, are among the main causes of feature semantics violations.
	www.cg.its.tudelft.nl /wwwcc/publications/phd-bidarra.html (634 words)

	ReadWriteThink: Lesson Plan: Guided Comprehension: Knowing How Words Work Using Semantic Feature Analysis
		In this example, students examine folktales, myths, and fables and use semantic feature analysis to better understand these terms and the texts that they are reading.
		Semantic feature analysis is a classroom strategy related to knowing how words work.
		Students should use the semantic feature analysis chart to make sure they cover all the elements of each type of story in their skit.
	www.readwritethink.org /lessons/lesson_view.asp?id=240 (2325 words)

	Semantics (Site not responding. Last check: 2007-10-29)
		More properly, a semantic relation describes the role which the whole prepositional phrase, not just the preposition, plays in relation to its head, but it is convenient to allow the preposition to carry this feature too, in order to formulate the above translation rules.
		We have described semantic features as more or less optional additions to representations --- the addition of a semantic feature may serve to disambiguate a representation, by indicating which sense of a word is involved, but the representation is still conceived of as a structure consisting of lexical items (words).
		So far we have concentrated our discussion of semantics on the meaning of words, but semantics is also concerned with linguistic `systems' such as tense and aspect and determination, all of which are of considerable importance in translation.
	clwww.essex.ac.uk /MTbook/HTML/node60.html (2103 words)

	[No title] (Site not responding. Last check: 2007-10-29)
		In an exemplary system, image segmentation 325 may for example generate image objects 30, and feature extraction and annotation 326 may for example generate the features associated with the image objects 30, such as media features 36, visual features 38 and semantic features 40, for example.
		The first is a semantic relationship,"colleague of', which is equivalent to the type of semantic relationship which could be present in the case of the image description scheme, as described in connection with Figure 1 C..
		Although any number and type of features can be defined to characterize the video objects in a modular and extensible manner, a useful exemplary feature set can include semantic features 940, visual features 938, media features 936 and temporal features 937.
	www.wipo.int /cgi-pct/guest/getbykey5?KEY=00/28725.000518&ELEMENT_SET=DECL (12409 words)

	Phonological encoding is not contingent on semantic feature retrieval: An electrophysiological study on object naming (Site not responding. Last check: 2007-10-29)
		Rahman, R.A., Van Turenhout, M., and Levelt, W.J.M. Phonological encoding is not contingent on semantic feature retrieval: An electrophysiological study on object naming.
		In the present study, the authors examined with event-related brain potentials whether phonological encoding in picture naming is mediated by basic semantic feature retrieval or proceeds independently.
		In a manual 2-choice go/no-go task the choice response depended on a semantic classification (animal vs. object) and the execution decision was contingent on a classification of name phonology (vowel vs. consonant).
	www.nici.kun.nl /Publications/2003/17252.html (191 words)

	Publications & Papers - Non-count Noun Determiners: Where is the Feature?
		In what could be seen as a natural extension of morphologically driven subcategorization features, the internal mechanism of features which underpin specific lexical items has now become the playing field for much of what goes on in syntactic theory.
		Regarding the number feature in particular, it immediately becomes clear that a certain sub-class of determiners are sensitive to number-Sing(ular) and Pl(ural).
		Semantic features are crucial for proper LF interpretability; hence they are stated as being [+Interp(retable)].
	www.csun.edu /~galasso/dcount.htm (5578 words)

	Semantic Feature Modelling (Site not responding. Last check: 2007-10-29)
		In particular, they lack a complete specification of feature semantics, and therefore fail to maintain the meaning of the features during modelling.
		In the semantic feature modelling approach presented here, the semantics of features is well defined and maintained during all modelling operations.
		The specification of feature classes, the structure and functionality of the feature model, in particular the Cellular Model, and the model validity maintenance scheme are described.
	www.cg.its.tudelft.nl /~rafa/papers/jrnl-bidarra2000.html (188 words)

	L517 Semantic Feature Analysis
		The teacher builds a grid in which essential vocabulary words are listed vertically and features and/ or ideas are listed horizontally.
		A check mark indicates that the word does possess the feature (or is related to the idea), and a minus sign indicates that it does not.
		The grid has been completed, with a check mark indicating that a president is related to an idea, feature or characteristic across the top of the grid, and a minus sign indicating that he is not.
	www.indiana.edu /~l517/semantic.htm (494 words)

	Semantic Feature Analysis (Site not responding. Last check: 2007-10-29)
		A technique that can help you do that is called Semantic Feature Analysis.
		Semantic Feature Analysis uses a grid to help you explore how a set of things are related to one another.
		Make a list in the leftmost column of the grid some features or characteristics that some of the elements might have.
	edweb.sdsu.edu /triton/guides/SFA.html (517 words)

	TopQuadrant (Site not responding. Last check: 2007-10-29)
		Semantic Technologies are driving the next generation of the Web, "a machine-readable web of "smart data" and automated services that amplify the Web far beyond current capabilities".
		Today semantic technologies are being used to achieve greater interoperability, improved search, discovery and content provisioning in knowledge-centric systems and dynamic integration across distributed systems.
		The growing maturity of semantic technology is evidenced by the increasing number of commercial vendors.
	www.topquadrant.com /conferences/stgov03.html (508 words)

	[No title] (Site not responding. Last check: 2007-10-29)
		Feature extraction utilizes lateral inhibition which serves to enhance the signal-to-noise ratio.
		Parallels in feature extraction, transformation and schema integration can be explored in detail in the area of microfeatures that are extracted from grammatical categories and link to cognitive units.
		The following elements seem to be essential for a biologically realistic model of semantic processing: - semantic feature extraction as organized using ``dimensions'' of mutually exclusive features: lateral inhibition creates enhanced recognition - interactive sideways: by feeding information to other pathways compressed contextual units are created (``wherever useful information arises it is used'').
	www-cse.ucsd.edu /groups/guru/cogsci96/abstracts/a308.txt (435 words)

	August 2009: How Google beat Amazon and Ebay to the Semantic Web (Ftrain.com)
		At the same time, the concept of the “Semantic Web,” which had been around since 1998 or so, was gaining a little traction, and the attention of an increasing circle of people.
		The Semantic Web isn't about pages and links, it's about relationships between things - whether one thing is a part of another, or how much a thing costs, or when it happened.
		It is part of The Semantic Web, which is part of Webs, Semantic and Otherwise, which is part of Life With Machines, which is part of Theory, which is part of Ftrain.com.
	ftrain.com /google_takes_all.html (3695 words)

	TESOL Strategies
		The semantic feature analysis grid can be used both as a pre-test to preview students' knowledge, or as a review, particularly to help students organize a large volume of information.
		The semantic feature analysis grid is hard to imagine in practical use without an example of how it can be applied in a TESOL classroom.
		The semantic feature analysic grid uses both reading and writing skills for students, either as they fill out the grid or during the preparatory reading to gain the knowledge needed to fill out the grid.
	www.msu.edu /user/lambjen3/TESOL.html (1637 words)

	CSC 485 / CSC2501 Introduction to Computational Linguistics, 1999. Tutorial Notes 3
		The question of exactly what feature structures to use to represent these objects should probably be delayed until you've had some experience adding the semantics to your parser.
		It's a good idea to have as much commonality as possible between the feature structures that you're storing as your database and the feature structures that your parser is generating for the semantics.
		Inside of these rules we are basically breaking apart the semantic representation and taking the pieces of it that we need to build something resembling a database feature structure.
	www.cs.toronto.edu /~dianaz/2501/notes4.html (1955 words)

	Comparing and Contrasting (Site not responding. Last check: 2007-10-29)
		Here's how it works: Semantic feature analysis uses charts and grids to help students explore how related words differ from one another.
		By analyzing semantic features of words, students can master important concepts that will help expand their vocabulary and help them understand words essential to learning concepts in content areas.
		Some features shared by some of the words are listed in a row across the top of the chart.
	edweb.sdsu.edu /people/bdodge/scaffold/Compare.html (418 words)

	[No title] (Site not responding. Last check: 2007-10-29)
		We shall develop a gramar, using semantic features which accepts 'Sue eats cake' but not 'Beer eats cake'.
		Other semantic features commonly used are: organisation (to indicate whether something is an organisation as opposed to a person or object) and abstract (to indicate abstract concepts such as 'dreaming').
		In practical systems there will often be a mix of syntactic and semantic features, rather as in LFG (lexical functional grammar).
	osiris.sunderland.ac.uk /cbowww/NLP/FEATURES/semgr.html (253 words)

	Resource Room: Reading Comprehension Building Vocabulary in Remedial Settings
		The categorizing in itself supplies sufficient structure for students to begin to learn meanings with which they are unfamiliar or to refine their understanding of meanings partially known and develops automaticity as well.
		The idea of a syn-onym web is similar to a semantic map, but it refines the idea of a semantic web, which includes all types of related concepts, to an examination of relation-ships that are only synonymic.
		We have suggested that focusing on semantic categories (words related to transportation), relational categories (words that are similar, opposites, gradations of meaning, words that share morphological units) and words connected by to visualization are all ways to extend word knowledge of struggling readers.
	www.resourceroom.net /comprehension/idavocab2004.asp (4873 words)

	Publication: Semantic Feature Layers in Content-based Image Retrieval: Implementation of Human World Features
		As a major reason for this, the semantic gap between high-level concepts and low-level features has been identified.
		In this paper we describe an approach to reduce the impact of the semantic gap by deriving high-level (semantic) from low-level features and using these features to improve the quality of CBIR queries.
		This concept is implemented for a high-level feature class that describes human world properties and evaluated in 300 queries.
	www.ims.tuwien.ac.at /publication_detail.php?ims_id=TR-188-2-2002-15 (224 words)

	ReadingQuest Strategies \| Semantic Feature Analysis
		With a Semantic Feature Analysis chart or grid, one can examine related concepts but make distinctions between them according to particular criteria across which the concepts can be compared.
		A set of concepts is listed down the left side (or across the top; it doesn't much matter which) and criteria or features are listed across the top (or down the side).
		If the concept is associated with the feature or characteristic, the student records a Y or a + (plus-sign) in the grid where that column and row intersect; if the feature is not associated with the concept, an N or - (minus-sign) is placed in the corresponding square on the grid.
	curry.edschool.virginia.edu /go/readquest/strat/sfa.html (157 words)

	SWAD-Europe: Semantic Blogging and Bibliographies - Requirements Specification
		The rich structure and query properties enabled by the semantic web greatly extends the range of blogging behaviours, and allows the power of the metaphor to be applied in hitherto unexplored domains.
		Semantic, community alerts such as 'alert me when more semantic blogging articles are added' features will be needed.
		Blogging, particularly semantic blogging, also provides a potential escape from the 'one conversation at a time' nature of such communities and allows users to discover, join or leave conversations according to their current interest.
	www.w3.org /2001/sw/Europe/reports/open_demonstrators/hp-requirements-specification.html (17120 words)

	Linking Syntax and Semantics (Site not responding. Last check: 2007-10-29)
		To describe an interpretation algorithm that uses the syntactic analysis of a sentence together with grammar rules augmented by feature information describing how the semantic analysis of a phrase is derived from the semantic analyses of its constituents.
		The semantic interpretation algorithm is feature-driven: reading the augmented grammar rules right to left provides a description of how to build the SEM feature of the phrase described by the grammar rule.
		When the semantic description has a gap (as with VP), the SEM feature is a lambda-expression.
	www.cse.unsw.edu.au /~billw/cs9414/notes/nlp/seminterp.html (1730 words)

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