id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ignbu6573rhffj4ahdsagcdn6m	Matthias Sperber	Segmentation for Efficient Supervised Language Annotation with an Explicit Cost-Utility Tradeoff	2014	12	.pdf	application/pdf	7436	661	58	Segmentation for Efficient Supervised Language Annotation with an Explicit Cost-Utility Tradeoff In this paper, we study the problem of manually correcting automatic annotations of natural language in as efficient a manner as possible. method helps find the segmentation that optimizes supervision efficiency by defining user models to predict the cost and utility of supervising each segment and solving a constrained optimization problem balancing these language processing tasks: speech transcription and word segmentation. In this paper, we introduce a new strategy for natural language supervision tasks that attempts to optimize supervision efficiency by choosing an appropriate segmentation. The user model in this example might evaluate every segment according to two criteria L, a cost criterion (in terms of supervision time) and a utility criterion (in terms of number of removed errors), when Modeling cost requires solving a regression problem from features of a candidate segment to annotation cost, for example in terms of supervision time.	./cache/work_ignbu6573rhffj4ahdsagcdn6m.pdf	./txt/work_ignbu6573rhffj4ahdsagcdn6m.txt