| Vol-1019 urn:nbn:de:0074-1019-8 Copyright © 2013 for the individual papers by the papers' authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors.

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| #MSM2013 Concept Extraction Challenge at Making Sense of Microposts 2013

### Proceedings of the Concept Extraction Challenge at the Workshop on 'Making Sense of Microposts'
co-located with the 22nd International World Wide Web Conference (WWW'13)

### Rio de Janeiro, Brazil, May 13, 2013.

Edited by

### Amparo E. Cano *
Matthew Rowe **
Milan Stankovic ***
Aba-Sah Dadzie ****

* Engineering and Applied Science, Aston University, England, UK
** School of Computing and Communications, Lancaster University, England, UK
*** Sépage, Paris, France
**** School of Computer Science, University of Birmingham, England, UK

## 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

#### Download the #MSM2013 Concept Extraction Challenge proceedings in a single volume.
Download the bibtex for the #MSM2013 Concept Extraction Challenge proceedings.
Download the final dataset (gold standard) for the #MSM2013 Concept Extraction Challenge.

2013-09-10: submitted by Aba-Sah Dadzie
2013-09-12: published on CEUR-WS.org