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You're reading from  Transformers for Natural Language Processing and Computer Vision - Third Edition

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Published inFeb 2024
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PublisherPackt
ISBN-139781805128724
Edition3rd Edition
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Denis Rothman
Denis Rothman
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Denis Rothman

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.
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Defining SRL

Shi and Lin (2019) advanced and proved that we can find who did what and where without depending on lexical or syntactic features. This chapter is based on Peng Shi and Jimmy Lin’s research at the University of Waterloo, California. They showed how transformers learn language structures better with attention layers.

SRL labels the semantic role as the role a word or group of words plays in a sentence and the relationship established with the predicate.

A semantic role is the role a noun or noun phrase plays in relation to the main verb in a sentence. For example, in the sentence Marvin walked in the park, Marvin is the agent of the event occurring in the sentence. The agent is the doer of the event. The main verb, or governing verb, is walked.

The predicate describes something about the subject or agent. The predicate could be anything that provides information on the features or actions of a subject. In our approach, we will refer to the predicate...

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Transformers for Natural Language Processing and Computer Vision - Third Edition
Published in: Feb 2024Publisher: PacktISBN-13: 9781805128724

Author (1)

author image
Denis Rothman

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.
Read more about Denis Rothman