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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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Redefining SRL

SRL presupposes that sentences contain predicates, which is often a false assumption. Analyzing a sentence cannot be based on a predicate analysis alone.

A predicate contains a verb. The predicate tells us more about the subject. The following predicate contains a verb and additional information:

The dog ate his food quickly.

ate...quickly tells us more about the way the dog ate. However, a verb alone can be a predicate, as in Dogs eat.

The problem here resides in the fact that “verbs” and “predicates” are part of syntax and grammar analysis, not semantics.

Understanding how words fit together from a grammatical, functional point of view is restrictive.

Take this sentence that means absolutely nothing:

Globydisshing maccaked up all the tie.

However, SRL could perform “semantic” analysis on a sentence that means nothing:

A close-up of a sign  Description automatically generated

Figure 12.6: Analyzing a meaningless sentence

We can draw some...

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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