Post-edit Analysis of Collective Biography Generation
Autor: | Andrew Chisholm, Art Harol, Anaïs Cadilhac, Ben Hachey, Bo Han, Will Radford |
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Rok vydání: | 2017 |
Předmět: |
FOS: Computer and information sciences
Computer Science - Computation and Language Computer science 020206 networking & telecommunications Biography Context (language use) 02 engineering and technology Data science World Wide Web Consistency (database systems) 0202 electrical engineering electronic engineering information engineering ComputingMethodologies_DOCUMENTANDTEXTPROCESSING 020201 artificial intelligence & image processing Computation and Language (cs.CL) |
Zdroj: | WWW (Companion Volume) |
DOI: | 10.48550/arxiv.1702.05821 |
Popis: | Text generation is increasingly common but often requires manual post-editing where high precision is critical to end users. However, manual editing is expensive so we want to ensure this effort is focused on high-value tasks. And we want to maintain stylistic consistency, a particular challenge in crowd settings. We present a case study, analysing human post-editing in the context of a template-based biography generation system. An edit flow visualisation combined with manual characterisation of edits helps identify and prioritise work for improving end-to-end efficiency and accuracy. |
Databáze: | OpenAIRE |
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