Unsupervised Declarative Knowledge Induction for Constraint-Based Learning of Information Structure in Scientific Documents
نویسندگان
چکیده
منابع مشابه
Unsupervised Declarative Knowledge Induction for Constraint-Based Learning of Information Structure in Scientific Documents
Inferring the information structure of scientific documents is useful for many NLP applications. Existing approaches to this task require substantial human effort. We propose a framework for constraint learning that reduces human involvement considerably. Our model uses topic models to identify latent topics and their key linguistic features in input documents, induces constraints from this inf...
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15 صفحه اولLifecycle Information Management for Learning Resources and Knowledge Documents
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ژورنال
عنوان ژورنال: Transactions of the Association for Computational Linguistics
سال: 2015
ISSN: 2307-387X
DOI: 10.1162/tacl_a_00128