SODA

A Web Survey on the Use of Active Learning to Support Annotation of Text Data

Tomanek, Katrin and Olsson, Fredrik (2009) A Web Survey on the Use of Active Learning to Support Annotation of Text Data. In: Active Learning for Natural Language Processing (ALNLP-09), held in conjunction with HLT-NAACL 2009, 5 June 2009, Boulder, Colorado, USA.

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Abstract

As supervised machine learning methods for addressing tasks in natural language processing (NLP) prove increasingly viable, the focus of attention is naturally shifted towards the creation of training data. The manual annotation of corpora is a tedious and time consuming process. To obtain high-quality annotated data constitutes a bottleneck in machine learning for NLP today. Active learning is one way of easing the burden of annotation. This paper presents a first probe into the NLP research community concerning the nature of the annotation projects undertaken in general, and the use of active learning as annotation support in particular.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:active learning, machine learning, survey, questionnaire
ID Code:3613
Deposited By:Fredrik Olsson
Deposited On:10 Jun 2009
Last Modified:18 Nov 2009 16:24

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