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        <title>The Query of Everything: Developing Open-Domain, Natural-Language Queries for BOLT Information Retrieval</title>
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    <abstract>The DARPA BOLT Information Retrieval evaluations target open-domain natural-language queries over a large corpus of informal text in English, Chinese and Egyptian Arabic. We outline the goals of BOLT IR, comparing it with the prior GALE Distillation task. After discussing the properties of the BOLT IR corpus, we provide a detailed description of the query creation process, contrasting the summary query format presented to systems at run time with the full query format created by annotators. We describe the relevance criteria used to assess BOLT system responses, highlighting the evolution of the procedures used over the three evaluation phases. We provide a detailed review of the decision points model for relevance assessment introduced during Phase 2, and conclude with information about inter-assessor consistency achieved with the decision points assessment model.</abstract>
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%0 Conference Proceedings
%T The Query of Everything: Developing Open-Domain, Natural-Language Queries for BOLT Information Retrieval
%A Griffitt, Kira
%A Strassel, Stephanie
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 may
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F griffitt-strassel-2016-query
%X The DARPA BOLT Information Retrieval evaluations target open-domain natural-language queries over a large corpus of informal text in English, Chinese and Egyptian Arabic. We outline the goals of BOLT IR, comparing it with the prior GALE Distillation task. After discussing the properties of the BOLT IR corpus, we provide a detailed description of the query creation process, contrasting the summary query format presented to systems at run time with the full query format created by annotators. We describe the relevance criteria used to assess BOLT system responses, highlighting the evolution of the procedures used over the three evaluation phases. We provide a detailed review of the decision points model for relevance assessment introduced during Phase 2, and conclude with information about inter-assessor consistency achieved with the decision points assessment model.
%U https://aclanthology.org/L16-1593
%P 3741-3747

Markdown (Informal)

[The Query of Everything: Developing Open-Domain, Natural-Language Queries for BOLT Information Retrieval](https://aclanthology.org/L16-1593) (Griffitt & Strassel, LREC 2016)

• The Query of Everything: Developing Open-Domain, Natural-Language Queries for BOLT Information Retrieval (Griffitt & Strassel, LREC 2016)

ACL

• Kira Griffitt and Stephanie Strassel. 2016. The Query of Everything: Developing Open-Domain, Natural-Language Queries for BOLT Information Retrieval. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3741–3747, Portorož, Slovenia. European Language Resources Association (ELRA).