3. #MSM 2013: Rio de Janeiro, Brazil
Amparo Elizabeth Cano, Matthew Rowe, Milan Stankovic, Aba-Sah Dadzie (Eds.): Proceedings of the Concept Extraction Challenge at the Workshop on 'Making Sense of Microposts', Rio de Janeiro, Brazil, May 13, 2013. CEUR-WS.org 2013 CEUR Workshop Proceedings 1019
Summary of Results
- Amparo Elizabeth Cano Basave, Andrea Varga, Matthew Rowe, Milan Stankovic, Aba-Sah Dadzie: Making Sense of Microposts (#MSM2013) Concept Extraction Challenge. 1-15
Challenge Submissions - Section I
- Mena B. Habib, Maurice van Keulen, Zhemin Zhu: Concept Extraction Challenge: University of Twente at #MSM2013. 17-20
- Stefan Dlugolinsky, Peter Krammer, Marek Ciglan, Michal Laclavik: MSM2013 IE Challenge: Annotowatch. 21-26
- Marieke van Erp, Giuseppe Rizzo, Raphaël Troncy: Learning with the Web: Spotting Named Entities on the Intersection of NERD and Machine Learning. 27-30
- Keith Cortis: ACE: A Concept Extraction Approach using Linked Open Data. 31-35
- Fréderic Godin, Pedro Debevere, Erik Mannens, Wesley De Neve, Rik Van de Walle: Leveraging Existing Tools for Named Entity Recognition in Microposts. 36-39
Challenge Submissions - Section II
- Óscar Muñoz-García, Andrés García-Silva, Óscar Corcho: Towards Concept Identification using a Knowledge-Intensive Approach. 45-49
- Yegin Genc, Winter A. Mason, Jeffrey V. Nickerson: Classifying Short Messages using Collaborative Knowledge Bases: Reading Wikipedia to Understand Twitter. 50-53
- Amir Hossein Jadidinejad: Unsupervised Information Extraction using BabelNet and DBpedia. 54-56
- Amitava Das, Utsab Burman, Balamurali Ar, Sivaji Bandyopadhyay: NER from Tweets: SRI-JU System @MSM 2013. 62-
- Sandhya Sachidanandan, Prathyush Sambaturu, Kamalakar Karlapalem: NERTUW: Named Entity Recognition on Tweets using Wikipedia. 67-70
- Diego Marinho de Oliveira, Alberto H. F. Laender, Adriano Veloso, Altigran Soares da Silva: Filter-Stream Named Entity Recognition: A Case Study at the #MSM2013 Concept Extraction Challenge. 71-75
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last updated on 2013-10-16T203152 by the dblp team