Bringing head closer to the tail with entity linking (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Bringing head closer to the tail with entity linking (Contributo in atti di convegno) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1145/2663712.2666196 (literal)

Alternative label

• Verma M., Ceccarelli D. (2014)
  Bringing head closer to the tail with entity linking
  in ESAIR'14 - 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval, Shanghai, China, 7 November 2014
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Verma M., Ceccarelli D. (literal)

Pagina inizio

• 37 (literal)

Pagina fine

• 39 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

• Tipo Progetto EU E-CLOUD Project. (CIP-ICT-PSP-2012-6). Contract No 325091. Europeana Cloud: Unlocking Europe's Research via The Cloud. (2012-2015) Acronimo E-CLOUD Grant agreement 325091 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://dl.acm.org/citation.cfm?id=2666196 (literal)

Note

• PuMa (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• University College London, UK; CNR-ISTI, Pisa, Italy (literal)

Titolo

• Bringing head closer to the tail with entity linking (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-1-4503-1365-0 (literal)

Abstract

• With the creation and rapid development of knowledge bases, it has become easier to understand the underlying semantics of unstructured text (short or long) on the web. In this work we especially look at the impact of entity linking on search logs. Search queries follow a Zipfian distribution wherein other than few popular queries (emph{head queries}), a significant percentage of queries (emph{tail queries}) occur rarely. Given a search log, there is sufficient data to analyze head queries but insufficient data (low frequency, limited clicks) to draw any conclusions about tail queries. In this work we focus on quantifying the extent of overlap between long tail and head queries by means of entity linking. We specifically analyze the frequency distribution of entities in head and tail queries. Our analysis shows that by means of entity linking, we can indeed bridge the gap between the head and tail. (literal)

Prodotto di

• Sistemi e algoritmi per Big Data (ICT.P09.006.001) (Modulo)
• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)

Autore CNR

• Diego Ceccarelli (Persona)

Insieme di parole chiave

• Parole chiave di "Bringing head closer to the tail with entity linking" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Sistemi e algoritmi per Big Data (ICT.P09.006.001) (Modulo)

Autore CNR di

• Diego Ceccarelli (Persona)

Insieme di parole chiave di

• Parole chiave di "Bringing head closer to the tail with entity linking" (Insieme di parole chiave)