Towards Universal Semantic Representation

WS 2019  ·  Huaiyu Zhu, Yunyao Li, Laura Chiticariu ·

Natural language understanding at the semantic level and independent of language variations is of great practical value. Existing approaches such as semantic role labeling (SRL) and abstract meaning representation (AMR) still have features related to the peculiarities of the particular language. In this work we describe various challenges and possible solutions in designing a semantic representation that is universal across a variety of languages.

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