Bulgarian-English Question Answering: Adaptation of Language Resources

Osenova, Petya; Simov, Alexander; Simov, Kiril; Tanev, Hristo; Kouylekov, Milen

doi:10.1007/11519645_45

Cited by 3 publications

(1 citation statement)

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“…They could answer correctly 37 of 200 questions, of which only 16 belong to the factoid type. Previously the same team (Osenova et al, 2004) took part in a Bulgarian-English track of the CLEF 2004, in which Bulgarian questions were answered using English texts.…”

Section: Related Workmentioning

confidence: 99%

Boosting Question Answering by Deep Entity Recognition

Przybyła¹

2016

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In this paper an open-domain factoid question answering system for Polish, RAFAEL, is presented. The system goes beyond finding an answering sentence; it also extracts a single string, corresponding to the required entity. Herein the focus is placed on different approaches to entity recognition, essential for retrieving information matching question constraints. Apart from traditional approach, including named entity recognition (NER) solutions, a novel technique, called Deep Entity Recognition (DeepER), is introduced and implemented. It allows a comprehensive search of all forms of entity references matching a given WordNet synset (e.g. an impressionist), based on a previously assembled entity library. It has been created by analysing the first sentences of encyclopaedia entries and disambiguation and redirect pages. DeepER also provides automatic evaluation, which makes possible numerous experiments, including over a thousand questions from a quiz TV show answered on the grounds of Polish Wikipedia. The final results of a manual evaluation on a separate question set show that the strength of DeepER approach lies in its ability to answer questions that demand answers beyond the traditional categories of named entities.The study was supported by research fellowship within "Information technologies: research and their interdisciplinary applications" agreement number POKL. 04.01.01-00-051/10-00.

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Section: Related Workmentioning

confidence: 99%