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94 - Decompositional Semantics, with Aaron White

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Manage episode 243343166 series 1452120
内容由NLP Highlights and Allen Institute for Artificial Intelligence提供。所有播客内容(包括剧集、图形和播客描述)均由 NLP Highlights and Allen Institute for Artificial Intelligence 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
In this episode, Aaron White tells us about the decompositional semantics initiative (Decomp), an attempt to re-think the prototypical approach to semantic representation and annotation. The basic idea is to decompose complex semantic classes such as ‘agent’ and ‘patient’ into simpler semantic properties such as ‘causation’ and ‘volition’, while embracing the uncertainty inherent in language by allowing annotators to choose answers such as ‘probably’ or ‘probably not’. In order to scale the collection of labeled data, each property is annotated by asking crowd workers intuitive questions about phrases in a given sentence. Aaron White's homepage: http://aaronstevenwhite.io/ Decomp initiative page: http://decomp.io/
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Manage episode 243343166 series 1452120
内容由NLP Highlights and Allen Institute for Artificial Intelligence提供。所有播客内容(包括剧集、图形和播客描述)均由 NLP Highlights and Allen Institute for Artificial Intelligence 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
In this episode, Aaron White tells us about the decompositional semantics initiative (Decomp), an attempt to re-think the prototypical approach to semantic representation and annotation. The basic idea is to decompose complex semantic classes such as ‘agent’ and ‘patient’ into simpler semantic properties such as ‘causation’ and ‘volition’, while embracing the uncertainty inherent in language by allowing annotators to choose answers such as ‘probably’ or ‘probably not’. In order to scale the collection of labeled data, each property is annotated by asking crowd workers intuitive questions about phrases in a given sentence. Aaron White's homepage: http://aaronstevenwhite.io/ Decomp initiative page: http://decomp.io/
  continue reading

145集单集

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