Matches in SemOpenAlex for { <https://semopenalex.org/work/W2336224400> ?p ?o ?g. }
Showing items 1 to 60 of
60
with 100 items per page.
- W2336224400 abstract "Web search queries provide a surprisingly large amount of information, which can be potentially organized and converted into a knowledgebase. In this paper, we focus on the problem of automatically identifying brand and product entities from a large collection of web queries in online shopping domain. We propose an unsupervised approach based on adaptor grammars that does not require any human annotation efforts nor rely on any external resources. To reduce the noise and normalize the query patterns, we introduce a query standardization step, which groups multiple search patterns and word orderings together into their most frequent ones. We present three different sets of grammar rules used to infer query structures and extract brand and product entities. To give an objective assessment of the performance of our approach, we conduct experiments on a large collection of online shopping queries and intrinsically evaluate the knowledgebase generated by our method qualitatively and quantitatively. In addition, we also evaluate our framework on extrinsic tasks on query tagging and chunking. Our empirical studies show that the knowledgebase discovered by our approach is highly accurate, has good coverage and significantly improves the performance on the external tasks." @default.
- W2336224400 created "2016-06-24" @default.
- W2336224400 creator A5007532004 @default.
- W2336224400 creator A5019793735 @default.
- W2336224400 creator A5020746135 @default.
- W2336224400 creator A5027639981 @default.
- W2336224400 creator A5049718368 @default.
- W2336224400 date "2016-07-07" @default.
- W2336224400 modified "2023-09-23" @default.
- W2336224400 title "Query to Knowledge" @default.
- W2336224400 cites W1968801347 @default.
- W2336224400 cites W1985125789 @default.
- W2336224400 cites W2000398235 @default.
- W2336224400 cites W2015551056 @default.
- W2336224400 cites W2018075017 @default.
- W2336224400 cites W2060565333 @default.
- W2336224400 cites W2087309226 @default.
- W2336224400 cites W2098700435 @default.
- W2336224400 cites W2121300361 @default.
- W2336224400 cites W2146446188 @default.
- W2336224400 cites W2148540243 @default.
- W2336224400 cites W2156037541 @default.
- W2336224400 cites W2166817967 @default.
- W2336224400 cites W2293321142 @default.
- W2336224400 doi "https://doi.org/10.1145/2911451.2911495" @default.
- W2336224400 hasPublicationYear "2016" @default.
- W2336224400 type Work @default.
- W2336224400 sameAs 2336224400 @default.
- W2336224400 citedByCount "5" @default.
- W2336224400 countsByYear W23362244002017 @default.
- W2336224400 countsByYear W23362244002018 @default.
- W2336224400 countsByYear W23362244002019 @default.
- W2336224400 countsByYear W23362244002020 @default.
- W2336224400 crossrefType "proceedings-article" @default.
- W2336224400 hasAuthorship W2336224400A5007532004 @default.
- W2336224400 hasAuthorship W2336224400A5019793735 @default.
- W2336224400 hasAuthorship W2336224400A5020746135 @default.
- W2336224400 hasAuthorship W2336224400A5027639981 @default.
- W2336224400 hasAuthorship W2336224400A5049718368 @default.
- W2336224400 hasConcept C23123220 @default.
- W2336224400 hasConcept C41008148 @default.
- W2336224400 hasConceptScore W2336224400C23123220 @default.
- W2336224400 hasConceptScore W2336224400C41008148 @default.
- W2336224400 hasLocation W23362244001 @default.
- W2336224400 hasOpenAccess W2336224400 @default.
- W2336224400 hasPrimaryLocation W23362244001 @default.
- W2336224400 hasRelatedWork W1561729373 @default.
- W2336224400 hasRelatedWork W2103338134 @default.
- W2336224400 hasRelatedWork W2115485936 @default.
- W2336224400 hasRelatedWork W2144190808 @default.
- W2336224400 hasRelatedWork W2153015554 @default.
- W2336224400 hasRelatedWork W2357241418 @default.
- W2336224400 hasRelatedWork W2366644548 @default.
- W2336224400 hasRelatedWork W2376314740 @default.
- W2336224400 hasRelatedWork W2384888906 @default.
- W2336224400 hasRelatedWork W3022131925 @default.
- W2336224400 isParatext "false" @default.
- W2336224400 isRetracted "false" @default.
- W2336224400 magId "2336224400" @default.
- W2336224400 workType "article" @default.