Domain adaptation for semantic role labeling in the biomedical domain
نویسندگان
چکیده
منابع مشابه
Domain - Adaptation Technique for Semantic Role Labeling with Structural Learning
© 2014 Soojong Lim et al. 429 http://dx.doi.org/10.4218/etrij.14.0113.0645 Semantic role labeling (SRL) is a task in naturallanguage processing with the aim of detecting predicates in the text, choosing their correct senses, identifying their associated arguments, and predicting the semantic roles of the arguments. Developing a high-performance SRL system for a domain requires manually annotate...
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OBJECTIVE Semantic role labeling (SRL), which extracts a shallow semantic relation representation from different surface textual forms of free text sentences, is important for understanding natural language. Few studies in SRL have been conducted in the medical domain, primarily due to lack of annotated clinical SRL corpora, which are time-consuming and costly to build. The goal of this study i...
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Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. The conventional image processing algorithms cannot perform well in scenarios where the training images (source domain) that are used to learn the model have a different distribution with test images (target domain). Also, many real world applicat...
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Domain dependence of NLP systems is one of the major obstacles to their application in large-scale text analysis, also restricting the applicability of FrameNet semantic role labeling (SRL) systems. Yet, current FrameNet SRL systems are still only evaluated on a single in-domain test set. For the first time, we study the domain dependence of FrameNet SRL on a wide range of benchmark sets. We cr...
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Current Semantic Role Labeling technologies are based on inductive algorithms trained over large scale repositories of annotated examples. Frame-based systems currently make use of the FrameNet database but fail to show suitable generalization capabilities in out-of-domain scenarios. In this paper, a state-of-art system for frame-based SRL is extended through the encapsulation of a distribution...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2010
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btq075