News and Results
Deliverables
Work Package 1
- D1.1 Data Acquisition and Integration Methods
- D1.2 Text analysis of noisy social media content (TwitIE)
- D1.3 Domain-Specific Content Repository
Work Package 2
- D2.1:Task Composition, Prioritisation, and User Profiling Models
- D2.2 Progress Monitoring and Quality Control Model
- D2.3 EHC Framework incl. Workflow Optimisation
Work Package 3
- D3.1. V1 Protege Human Computation plugin
- D3.1. V2 Protege Human Computation plugin
- D3.2 Open-Source GATE Crowdsourcing Plugin
- D3.3 HC-Based Pattern Discovery
- D3.4 Distributed Knowledge Processing Framework
Work Package 4
- D4.1 Knowledge Extraction and Modelling Services
- D4.2v1 Report on Ontology Evaluation and Extension
- D4.2v2 Report on Ontology Evaluation and Extension
- D4.3v1 Report on Application Benchmarking
Work Package 5
- D5.1 Requirements of Affective Knowledge Extraction
- D5.2 Multilingual Affective Knowledge Resources Version 1
- D5.2 Multilingual Affective Knowledge Resources Version 2
- D5.3 Evaluation Report v1
- D5.3 Evaluation Report v2
- D5.4 Affective Evaluation Toolkit
Work Package 6
Workshops and Events
- The 8th GATE Training Course: Mining social media content with GATE (includes a module on crowdsourcing for text mining). 8 – 12 June 2015, Sheffield, UK.
- Tutorial on Practical Annotation and Processing of Social Media with GATE (includes a module on text annotation through crowdsourcing). 31 May 2015. ESWC’2015, Slovenia.
- The 7th GATE Training Course: Mining social media content with GATE (includes a module on crowdsourcing for text mining). 9 – 13 June 2014, Sheffield, UK.
- Tutorial: Natural Language Processing for Social Media. K. Bontcheva and L. Derczynski. 26 April 2014. EACL 2014.
- The 6th GATE Training Course (3-7 June 2013, Sheffield, UK) with a module on mining social media