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Defence of the Doctoral Dissertation: Machine Learning of Semantics for Text Understanding
Published on Jun 12, 20171637 Views
Text Understanding is a long term goal of Artificial Intelligence. Its mission is to create algorithms that will fully automatically understand human-composed text. In this dissertation we propose, im
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Chapter list
Machine learning of semantics for text understanding00:00
Overview00:01
Introduction - 101:02
Introduction - 201:54
Preliminary approaches and introduction to predicate logic03:17
C1 – Grammar Induction - 104:34
C1 – Grammar Induction - 205:27
C1 – Grammar Induction - Rule Induction05:44
C1 – Grammar Induction - 306:10
C1 – Grammar Induction - Taxonomy Extraction07:06
C1 – Grammar Induction - Results07:54
C2 – Relation Extraction from Semantic Trees - 109:12
C2 – Relation Extraction from Semantic Trees - 210:28
C2 – Semantic tree extraction results11:49
Natural Language Inference introduction13:50
C3 – Text Generative Neural Networks for NLI15:08
C4 - Procedure for the evaluation of generated NLI text hypotheses17:23
NLI Generation results (C3 and C4) - 119:19
NLI Generation results (C3 and C4) - 221:48
Conclusions23:26
Publications25:49