@inbook{ffd7b522aa8a4a87bbdd0db96a23a11e,
title = "Text Mining for Semantic Search in Europe PubMed Central Labs",
abstract = "Europe PubMed Central (Europe PMC), sponsored collectively by 26 major funders of biological and medical research, and dedicated to the promotion of open access to scientific literature, provides a literature search service that has been enhanced by text mining. As part of that service, Europe PMC Labs provides a platform for prototype services that use text mining in innovative ways, providing semanticaly guided search. This chapter describes the EvidenceFinder application, which provides passage retrieval of facts by generating questions from basic search terms. As well as introducing the search user interfaces, we explain the genesis of the service from text mining applied to the whole corpus (at date of writing) of 3 milllion full-text research articles, and review several related advanced search tools.",
keywords = "text mining, semantic search, fact retrieval, natural language processing",
author = "William Black and Andrew Rowley and Makoto Miwa and John McNaught and Sophia Ananiadou",
year = "2016",
month = jul,
day = "12",
language = "English",
isbn = "9781843347491",
series = "Chandos Information Professional Series",
publisher = "Chandos",
pages = "111--131",
editor = "Emma Tonkin and Gregory Tourte",
booktitle = "Working with Text",
address = "United Kingdom",
}