Cross-lingual Annotation Projection for Semantic Roles
نویسندگان
چکیده
منابع مشابه
Cross-lingual Annotation Projection for Semantic Roles
This article considers the task of automatically inducing role-semantic annotations in the FrameNet paradigm for new languages. We propose a general framework that is based on annotation projection, phrased as a graph optimization problem. It is relatively inexpensive and has the potential to reduce the human effort involved in creating role-semantic resources. Within this framework, we present...
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The ever-increasing quantities of structured knowledge on the Web and the impending need of multilinguality and cross-linguality for information access pose new challenges but at the same time open up new opportunities for knowledge extraction research. In this regard, cross-lingual semantic annotation has emerged as a topic of major interest and it is essential to build tools that can link wor...
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While extensive studies on relation extraction have been conducted in the last decade, statistical systems based on supervised learning are still limited because they require large amounts of training data to achieve high performance. In this paper, we develop a cross-lingual annotation projection method that leverages parallel corpora to bootstrap a relation detector without significant annota...
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Previous research on annotation projection for parser induction across languages showed only limited success and often required substantial language-specific post-processing to fix inconsistencies and to lift the performance onto a useful level. Model transfer was introduced as another quite successful alternative and much research has been devoted to this paradigm recently. In this paper, we r...
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Annotation projection is a practical method to deal with the low resource problem in incident languages (IL) processing. Previous methods on annotation projection mainly relied on word alignment results without any training process, which led to noise propagation caused by word alignment errors. In this paper, we focus on the named entity recognition (NER) task and propose a weakly-supervised f...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2009
ISSN: 1076-9757
DOI: 10.1613/jair.2863