Matches in SemOpenAlex for { <https://semopenalex.org/work/W2913281099> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2913281099 abstract "Data available across the web is largely unstructured. Offers published by multiple sources like banks, digital wallets, merchants, etc., are one of the most accessed advertising data in today's world. This data gets accessed by millions of people on a daily basis and is easily interpreted by humans, but since it is largely unstructured and diverse, using an algorithmic way to extract meaningful information out of these offers is hard. Identifying the essential offer entities (for instance, its amount, the product on which the offer is applicable, the merchant providing the offer, etc.) from these offers plays a vital role in targeting the right customers to improve sales. This work presents and evaluates various existing Named Entity Recognizer (NER) models which can identify the required entities from offer feeds. We also propose a novel Hybrid NER model constructed by two-level stacking of Conditional Random Field, Bidirectional LSTM and Spacy models at the first level and an SVM classifier at the second. The proposed hybrid model has been tested on offer feeds collected from multiple sources and has shown better performance in the offer domain when compared to the existing models." @default.
- W2913281099 created "2019-02-21" @default.
- W2913281099 creator A5030317775 @default.
- W2913281099 creator A5034216767 @default.
- W2913281099 creator A5068270767 @default.
- W2913281099 creator A5087734203 @default.
- W2913281099 creator A5087919534 @default.
- W2913281099 date "2019-01-24" @default.
- W2913281099 modified "2023-10-16" @default.
- W2913281099 title "Hybrid NER System for Multi-Source Offer Feeds" @default.
- W2913281099 cites W1496929357 @default.
- W2913281099 cites W158673570 @default.
- W2913281099 cites W163073895 @default.
- W2913281099 cites W1940872118 @default.
- W2913281099 cites W2107878631 @default.
- W2913281099 cites W2143612262 @default.
- W2913281099 cites W2147880316 @default.
- W2913281099 cites W2250539671 @default.
- W2913281099 cites W2514317811 @default.
- W2913281099 cites W2912934387 @default.
- W2913281099 doi "https://doi.org/10.48550/arxiv.1901.08406" @default.
- W2913281099 hasPublicationYear "2019" @default.
- W2913281099 type Work @default.
- W2913281099 sameAs 2913281099 @default.
- W2913281099 citedByCount "0" @default.
- W2913281099 crossrefType "posted-content" @default.
- W2913281099 hasAuthorship W2913281099A5030317775 @default.
- W2913281099 hasAuthorship W2913281099A5034216767 @default.
- W2913281099 hasAuthorship W2913281099A5068270767 @default.
- W2913281099 hasAuthorship W2913281099A5087734203 @default.
- W2913281099 hasAuthorship W2913281099A5087919534 @default.
- W2913281099 hasBestOaLocation W29132810991 @default.
- W2913281099 hasConcept C119857082 @default.
- W2913281099 hasConcept C124101348 @default.
- W2913281099 hasConcept C134306372 @default.
- W2913281099 hasConcept C152565575 @default.
- W2913281099 hasConcept C154945302 @default.
- W2913281099 hasConcept C162324750 @default.
- W2913281099 hasConcept C187736073 @default.
- W2913281099 hasConcept C202444582 @default.
- W2913281099 hasConcept C2522767166 @default.
- W2913281099 hasConcept C2779135771 @default.
- W2913281099 hasConcept C2780451532 @default.
- W2913281099 hasConcept C33923547 @default.
- W2913281099 hasConcept C36503486 @default.
- W2913281099 hasConcept C41008148 @default.
- W2913281099 hasConcept C95623464 @default.
- W2913281099 hasConcept C9652623 @default.
- W2913281099 hasConceptScore W2913281099C119857082 @default.
- W2913281099 hasConceptScore W2913281099C124101348 @default.
- W2913281099 hasConceptScore W2913281099C134306372 @default.
- W2913281099 hasConceptScore W2913281099C152565575 @default.
- W2913281099 hasConceptScore W2913281099C154945302 @default.
- W2913281099 hasConceptScore W2913281099C162324750 @default.
- W2913281099 hasConceptScore W2913281099C187736073 @default.
- W2913281099 hasConceptScore W2913281099C202444582 @default.
- W2913281099 hasConceptScore W2913281099C2522767166 @default.
- W2913281099 hasConceptScore W2913281099C2779135771 @default.
- W2913281099 hasConceptScore W2913281099C2780451532 @default.
- W2913281099 hasConceptScore W2913281099C33923547 @default.
- W2913281099 hasConceptScore W2913281099C36503486 @default.
- W2913281099 hasConceptScore W2913281099C41008148 @default.
- W2913281099 hasConceptScore W2913281099C95623464 @default.
- W2913281099 hasConceptScore W2913281099C9652623 @default.
- W2913281099 hasLocation W29132810991 @default.
- W2913281099 hasOpenAccess W2913281099 @default.
- W2913281099 hasPrimaryLocation W29132810991 @default.
- W2913281099 hasRelatedWork W1931591703 @default.
- W2913281099 hasRelatedWork W2588516901 @default.
- W2913281099 hasRelatedWork W2787045460 @default.
- W2913281099 hasRelatedWork W2808791064 @default.
- W2913281099 hasRelatedWork W2947903144 @default.
- W2913281099 hasRelatedWork W2961085424 @default.
- W2913281099 hasRelatedWork W2997394673 @default.
- W2913281099 hasRelatedWork W3211499183 @default.
- W2913281099 hasRelatedWork W4288754364 @default.
- W2913281099 hasRelatedWork W4288762748 @default.
- W2913281099 isParatext "false" @default.
- W2913281099 isRetracted "false" @default.
- W2913281099 magId "2913281099" @default.
- W2913281099 workType "article" @default.