subject predicate object context
41415 Creator 8f39a563a9cf1106f50ca74735fa31ed
41415 Creator fafb9680e3053ad740ec3e44d38f5000
41415 Creator ext-68deaf99eed0f01fca78a0f223430f33
41415 Creator ext-17b8d229c8e13466da54c345b6e9c9c2
41415 Creator ext-8279b4aed3138d0b4f220b347da81caa
41415 Creator ext-92e54f0eb9753146817ecaf830207f9f
41415 Date 2014
41415 Is Part Of p16130073
41415 Is Part Of repository
41415 abstract Microposts are small fragments of social media content and a popular medium for sharing facts, opinions and emotions. They comprise a wealth of data which is increasing exponentially, and which therefore presents new challenges for the information extraction community, among others. This paper describes the ‘Making Sense of Microposts’ (#Microposts2014) Workshop’s Named Entity Extraction and Linking (NEEL) Challenge, held as part of the 2014 World Wide Web conference (WWW’14). The task of this challenge consists of the automatic extraction and linkage of entities appearing within English Microposts on Twitter. Participants were set the task of engineering a named entity extraction and DBpedia linkage system targeting a predefined taxonomy, to be run on the challenge data set, comprising a manually annotated training and a test corpus of Microposts. 43 research groups expressed intent to participate in the challenge, of which 24 signed the agreement required to be given a copy of the training and test datasets. 8 groups fulfilled all submission requirements, out of which 4 were accepted for the presentation at the workshop and a further 2 as posters. The submissions covered sequential and joint methods for approaching the named entity extraction and entity linking tasks. We describe the evaluation process and discuss the performance of the different approaches to the #Microposts2014 NEEL Challenge.
41415 authorList authors
41415 presentedAt ext-57a0766af61aaa268cc0ab8e3408a76d
41415 status nonPeerReviewed
41415 uri http://data.open.ac.uk/oro/document/270817
41415 uri http://data.open.ac.uk/oro/document/271041
41415 uri http://data.open.ac.uk/oro/document/271042
41415 uri http://data.open.ac.uk/oro/document/271043
41415 uri http://data.open.ac.uk/oro/document/271044
41415 uri http://data.open.ac.uk/oro/document/271045
41415 uri http://data.open.ac.uk/oro/document/271535
41415 volume 1141
41415 type AcademicArticle
41415 type Article
41415 label Cano, Amparo E. ; Rizzo, Giuseppe; Varga, Andrea; Rowe, Matthew ; Stankovic, Milan and Dadzie, Aba-sah (2014). Making sense of microposts: (#Microposts2014) named entity extraction & linking challenge. In: Proceedings of the 4th Workshop on Making Sense of Microposts, pp. 54–60.
41415 label Cano, Amparo E. ; Rizzo, Giuseppe; Varga, Andrea; Rowe, Matthew ; Stankovic, Milan and Dadzie, Aba-sah (2014). Making sense of microposts: (#Microposts2014) named entity extraction & linking challenge. In: Proceedings of the 4th Workshop on Making Sense of Microposts, pp. 54–60.
41415 Title Making sense of microposts: (#Microposts2014) named entity extraction & linking challenge
41415 in dataset oro