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a short review of abstract meaning representation applications
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نویسنده
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tohidi nasim ,dadkhah chitra
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منبع
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journal of modeling and simulation in electrical and electronics engineering - 2022 - دوره : 2 - شماره : 3 - صفحه:1 -9
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چکیده
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Meaning representation (amr) is a representation model in which amrs are rooted and labeled graphs that capture semantics on the sentence level while abstracting away from morpho-syntactic properties. the nodes of the graph represent meaning concepts and the edge labels show relationships between them. the application of amr, as a principal form of structured sentence semantics, in natural language processing (nlp) tasks is widely increasing, and it is considered a turning point for nlp research. the present study gives a brief review of the existing amr applications in various nlp tasks. moreover, they are compared and some of their basic features are discussed.
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کلیدواژه
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abstract meaning representation ,application ,natural language processing ,text ,semantic
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آدرس
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k. n. toosi university of technology, faculty of computer engineering, iran, k. n. toosi university of technology, faculty of computer engineering, iran
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پست الکترونیکی
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dadkhah@kntu.ac.ir
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Authors
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