#MSM2013 Concept Extraction Challenge at Making Sense of Microposts 2013

Table of Contents

• Preface
  
  

Summary of Results

• Making Sense of Microposts (#MSM2013) Concept Extraction Challenge (challenge report) 1-15
  Amparo Elizabeth Cano Basave, Andrea Varga, Matthew Rowe, Milan Stankovic, Aba-Sah Dadzie

Challenge Submissions — Section I

• Concept Extraction Challenge: University of Twente at #MSM2013 17-20
  Mena Habib, Maurice Van Keulen, Zhemin Zhu
• MSM2013 IE Challenge: Annotowatch 21-26
  Štefan Dlugolinský, Peter Krammer, Marek Ciglan, Michal Laclavík
• Learning with the Web: Spotting Named Entities on the Intersection of NERD and Machine Learning 27-30
  Marieke Van Erp, Giuseppe Rizzo, Raphaël Troncy
• ACE: A Concept Extraction Approach using Linked Open Data 31-35
  Keith Cortis
• Leveraging Existing Tools for Named Entity Recognition in Microposts 36-39
  Fréderic Godin, Pedro Debevere, Erik Mannens, Wesley De Neve, Rik Van de Walle
• Memory-based Named Entity Recognition in Tweets 40-43
  Antal van Den Bosch, Toine Bogers

Challenge Submissions — Section II

• Towards Concept Identification using a Knowledge-Intensive Approach 45-49
  Óscar Muñoz-García, Andrés García-Silva, Óscar Corcho
• Classifying Short Messages using Collaborative Knowledge Bases: Reading Wikipedia to Understand Twitter 50-53
  Yegin Genc, Winter Mason, Jeffrey V. Nickerson
• Unsupervised Information Extraction using BabelNet and DBpedia 54-56
  Amir Hossein Jadidinejad
• DBpedia Spotlight at the MSM2013 Challenge 57-61
  Pablo Mendes, Dirk Weissenborn, Chris Hokamp
• NER from Tweets: SRI-JU System @MSM 2013 62--66
  Amitava Das, Utsab Burman, Balamurali Ar, Sivaji Bandyopadhyay
• NERTUW: Named Entity Recognition on Tweets using Wikipedia 67-70
  Sandhya Sachidanandan, Prathyush Sambaturu, Kamalakar Karlapalem
• Filter-Stream Named Entity Recognition: A Case Study at the #MSM2013 Concept Extraction Challenge 71-75
  Diego de Oliveira, Alberto Laender, Adiano Veloso, Altigran Da Silva

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