Question answering from text TREC 8/9 QA competition: an idea originating from the IR community With massive collections of on-line documents, manual
{"Image DocumentName": "Question answering from text", "Image ImageDescription": "TREC 8/9 QA competition: an idea originating from the IR community. With massive collections of on-line documents, manual translation of knowledge is impractical: we want answers from textbases [cf. bioinformatics] Evaluated output is 5 answers of 50/250 byte snippets of text drawn from a 3 Gb text collection, and required to contain at least one concept of the semantic category of the expected answer type. (IR think. Suggests the use of named entity recognizers.) Get reciprocal points for highest correct answer.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}