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Longer titles found: Phono-semantic matching (view)

searching for semantic matching 10 found (161 total)

Semantic similarity network (477 words) [view diff] case mismatch in snippet view article find links to article

and power required for calculation. A more recent publications on Semantic Matching and Semantic Similarity Networks could be found in (Bendeck 2019)

Hindustani etymology (2,591 words) [view diff] no match in snippet view article find links to article

Hindustani, also known as Hindi-Urdu, is the vernacular form of two standardized registers used as official languages in India and Pakistan, namely Hindi

Semantic unification (302 words) [view diff] case mismatch in snippet view article find links to article

Generation Computing, 1(2):145-158, 1983. Fawsy Bendeck, WSM-P Workflow Semantic Matching Platform, PhD dissertatation, Business Computer Information System

Spreading activation (1,132 words) [view diff] exact match in snippet view article find links to article

backward priming in a lexical decision task: spreading activation versus semantic matching", The Quarterly Journal of Experimental Psychology, 1998, 51A (3)

Robert Stevens (scientist) (1,440 words) [view diff] exact match in snippet view article

Manchester. OCLC 711956205. EThOS uk.bl.ethos.516331. Hull, Duncan (2008). Semantic matching of bioinformatic web services (PhD thesis). University of Manchester

Google Search (12,286 words) [view diff] exact match in snippet view article find links to article

that Google Search was "bloated and overmonetized" and that the "semantic matching" of search queries put advertising profits before quality. Wired withdrew

Semantic similarity (4,222 words) [view diff] case mismatch in snippet view article find links to article

doi:10.1007/978-3-540-87696-0_7. Bendeck, F. (2008). WSM-P Workflow Semantic Matching Platform, PhD dissertation, University of Trier, Germany. Verlag Dr

Yedda (619 words) [view diff] exact match in snippet view article find links to article

largest organic-traffic generator. Yedda’s core innovation was a **semantic matching engine** that analysed the syntactic and conceptual structure of questions

Learned sparse retrieval (1,007 words) [view diff] exact match in snippet view article find links to article

efficiency comparable to traditional sparse methods while enhancing semantic matching capabilities, offering a balance between effectiveness and computational

Knowledge graph embedding (5,953 words) [view diff] no match in snippet view article find links to article

structured information, and resolve the limitations of distance-based and semantic-matching-based models in representing all the features of a knowledge graph