Learning new meanings for old words: effects of semantic relatedness
نویسندگان
چکیده
منابع مشابه
Learning new meanings for old words: effects of semantic relatedness.
Changes to our everyday activities mean that adult language users need to learn new meanings for previously unambiguous words. For example, we need to learn that a "tweet" is not only the sound a bird makes, but also a short message on a social networking site. In these experiments, adult participants learned new fictional meanings for words with a single dominant meaning (e.g., "ant") by readi...
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15 صفحه اولLearning new meanings for known words: Biphasic effects of prior knowledge.
In acquiring word meanings, learners are often confronted by a single word form that is mapped to two or more meanings. For example, long after how to roller-"skate", one may learn that "skate" is also a kind of fish. Such learning of new meanings for familiar words involves two potentially contrasting processes, relative to new form-new meaning learning: 1) Form-based familiarity may facilitat...
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The measurement of phrasal semantic relatedness is an important metric for many natural language processing applications. In this paper, we present three approaches for measuring phrasal semantics, one based on a semantic network model, another on a distributional similarity model, and a hybrid between the two. Our hybrid approach achieved an Fmeasure of 77.4% on the task of evaluating the sema...
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We propose and study a novel supervised approach to learning statistical semantic relatedness models from subjectively annotated training examples. The proposed semantic model consists of parameterized co-occurrence statistics associated with textual units of a large background knowledge corpus. We present an efficient algorithm for learning such semantic models from a training sample of relate...
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ژورنال
عنوان ژورنال: Memory & Cognition
سال: 2012
ISSN: 0090-502X,1532-5946
DOI: 10.3758/s13421-012-0209-1