Corpus-based Learning of Analogies and Semantic Relations
نویسندگان
چکیده
منابع مشابه
Learning Analogies and Semantic Relations
..........................................................................................................................3
متن کاملLearning Lexical Semantic Relations using Lexical Analogies — Extended Abstract
Linguistic ontologies, most notably WordNet [1], have been shown to be a valuable resource for a variety of natural language processing applications. Presently, linguistic ontologies are largely constructed by hand, which is both difficult and expensive. A central problem that demands an automated solution is the discovery and incorporation of lexical semantic relations, or semantic relations b...
متن کاملon the comparison of keyword and semantic-context methods of learning new vocabulary meaning
the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...
15 صفحه اولthe effect of vocabulary instruction through semantic mapping on learning and recall of efl learners
چکیده ندارد.
15 صفحه اولLearning Noun-Modifier Semantic Relations with Corpus-based and WordNet-based Features
We study the performance of two representations of word meaning in learning noun-modifier semantic relations. One representation is based on lexical resources, in particular WordNet, the other – on a corpus. We experimented with decision trees, instance-based learning and Support Vector Machines. All these methods work well in this learning task. We report high precision, recall and F-score, an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Machine Learning
سال: 2005
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-005-0913-1