mlkd.csd.auth.gr
Machine Learning & Knowledge Di
http://mlkd.csd.auth.gr/awards.html
27/09/2013: Our group achieved the 1st place in the BioASQ. Challenge on large-scale online biomedical semantic indexing. Check out the description of our solution. Check out our award. 19/08/2013: Our group achieved the 8th place in the MLSP 2013 bird classification challenge. Check out a joined publication on the top solutions. 15/07/2011: Our group achieved the 1st place in the concept-based retrieval sub-task. Of the photo-annotation task. Check out our ISMIS 2011 paper on our solutions.
nlp.cs.aueb.gr
AUEB's NLP Group
http://nlp.cs.aueb.gr/projects.html
Natural Language Processing Group. Athens University of Economics and Business. BioQA - Biomedical Question Answering". AUEB Research Support Program (2014-15). A challenge on large-scale biomedical semantic indexing and question answering". European FP7 ICT project (2012-14). A linear programming approach to multi-document text summarization and natural language generation from ontologies". AUEB Basic Research Funding Program project (2011-12). Of an INDIGO robot in action. Last update: May 6, 2016.
2.okbqa.org
Resources - okbqa2
http://2.okbqa.org/hackathon2015/resources
This page lists relevant resources to the OKBQA hackathon with specification to the contact person. Natural language query processing system over LOD (Jin-Dong Kim, Kevin Cohen). TBSL - Template-based Question Answering over RDF data. Dictionary-based text and term annotation (Jin-Dong Kim). Annotator - annotate text using bioportal ontologies using exact or substring matches (Michel Dumontier). Search the repository of 6M terms in 375 ontologies (Michel Dumontier). KBs and Linked Open Data Projects.
nlp.cs.aueb.gr
AUEB's NLP Group
http://nlp.cs.aueb.gr/index.html
Natural Language Processing Group. Athens University of Economics and Business. AUEB Natural Language Processing Group. AUEB's Natural Language Processing Group develops algorithms, models, and systems that allow computers to process and generate natural language texts. The group's current research interests include:. Natural language question-answering systems for document collections, databases, and ontologies,. Textual entailment and paraphrasing,. Sentiment analysis and opinion mining,. Vangelis Pter...
participants-area.bioasq.org
BioASQ Participants Area | BioASQ
http://participants-area.bioasq.org/oracle/results/taskB/phaseB
A challenge in large-scale. Results: Task B-Phase A. Results: Task B-Phase B. Oracle: Results for task B-Phase B. The test results are presented in seperate tables for each type of annotation. The "System Description" of each system is used. The evaluation measures that are used in Task B are presented here. Task 1b, Test batch 1. Task 1b, Test batch 2. Task 1b, Test batch 3. Task 2b, Test batch 1. Task 2b, Test batch 2. Task 2b, Test batch 3. Lab Zhu ,Fdan Univer. Lab Zhu ,Fdan Univer. The research lead...
1.okbqa.org
Invitees - OKBQA (Open Knowledge Base and Question Answering) 2014
http://1.okbqa.org/hackathon2014/Invitees
Pablo N. Mendes.
participants-area.bioasq.org
BioASQ Participants Area | BioASQ
http://participants-area.bioasq.org/faq
A challenge in large-scale. Results: Task B-Phase A. Results: Task B-Phase B. How many articles does the training set include? There are about 12 milion articles in the training set. In every article there is an abstract and in some of them the full text is available. Which are the classes that are going to be used during classification? MeSH (Medical Subject Headings) is the vocabulary that is going to be used for classification. How many labels does each article usually receive? BioASQ is supported by ...
4.okbqa.org
Resources - OKBQA-4
http://4.okbqa.org/development/resources
OKBQA Workshop at COLING 2016. This page lists relevant resources to the OKBQA hackathon with specification to the contact person. Natural language query processing system over LOD (Jin-Dong Kim, Kevin Cohen). TBSL - Template-based Question Answering over RDF data. Dictionary-based text and term annotation (Jin-Dong Kim). Annotator - Annotates text using bioportal ontologies using exact or substring matches. (Michel Dumontier). Searches the repository of 6M terms in 375 ontologies. (Michel Dumontier).
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