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Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Question Answering

See here for more information about the task.


Chave (2008)

This collection contains more than 4000 questions in Portuguese provided by Linguateca, a resource center for computational processing of the Portuguese. Each question contain included a category and type as well as other information such as identification code and year of creation.

Model Accuracy Paper / Source Code
Priberam’s (2008) 63.5 Priberam’s Question Answering System in QA@CLEF 2008  
Senso (2008) 46.5 The Senso Question Answering System at QA@CLEF 2008  
Esfinge (2008) 23.5 Esfinge at CLEF 2008: Experimenting with answer retrieval patterns. Can they help?  

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