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Deep learning-based relation extraction and knowledge graph-based representation of construction safety requirements
X Wang, N El-Gohary - Automation in Construction, 2023 - Elsevier
Field compliance checking aims to check the compliance of site operations with applicable
construction safety regulations for detecting violations. Relation extraction provides an …
construction safety regulations for detecting violations. Relation extraction provides an …
Introduction to “this is watson”
DA Ferrucci - IBM Journal of Research and Development, 2012 - ieeexplore.ieee.org
In 2007, IBM Research took on the grand challenge of building a computer system that could
compete with champions at the game of Jeopardy!™. In 2011, the open-domain question …
compete with champions at the game of Jeopardy!™. In 2011, the open-domain question …
[KNIHA][B] Semantic similarity from natural language and ontology analysis
Artificial Intelligence federates numerous scientific fields in the aim of develo** machines
able to assist human operators performing complex treatments---most of which demand high …
able to assist human operators performing complex treatments---most of which demand high …
Relation extraction: A survey
With the advent of the Internet, large amount of digital text is generated everyday in the form
of news articles, research publications, blogs, question answering forums and social media …
of news articles, research publications, blogs, question answering forums and social media …
Deep parsing in Watson
MC McCord, JW Murdock… - IBM Journal of research …, 2012 - ieeexplore.ieee.org
Two deep parsing components, an English Slot Grammar (ESG) parser and a predicate-
argument structure (PAS) builder, provide core linguistic analyses of both the questions and …
argument structure (PAS) builder, provide core linguistic analyses of both the questions and …
Question analysis: How Watson reads a clue
A Lally, JM Prager, MC McCord… - IBM Journal of …, 2012 - ieeexplore.ieee.org
The first stage of processing in the IBM Watson™ system is to perform a detailed analysis of
the question in order to determine what it is asking for and how best to approach answering …
the question in order to determine what it is asking for and how best to approach answering …
Automatic knowledge extraction from documents
Access to a large amount of knowledge is critical for success at answering open-domain
questions for DeepQA systems such as IBM Watson™. Formal representation of knowledge …
questions for DeepQA systems such as IBM Watson™. Formal representation of knowledge …
Integrating deep learning and multi-attention for joint extraction of entities and relationships in engineering consulting texts
B Gao, Y Hu, J Gu, X Han - Automation in Construction, 2024 - Elsevier
While traditional manual knowledge management methods indicate the intelligent approach
in the whole-process engineering consulting, related studies like NLP technologies still …
in the whole-process engineering consulting, related studies like NLP technologies still …
Semantic measures for the comparison of units of language, concepts or instances from text and knowledge base analysis
Semantic measures are widely used today to estimate the strength of the semantic
relationship between elements of various types: units of language (eg, words, sentences …
relationship between elements of various types: units of language (eg, words, sentences …
Structured data and inference in DeepQA
A Kalyanpur, BK Boguraev… - IBM Journal of …, 2012 - ieeexplore.ieee.org
Although the majority of evidence analysis in DeepQA is focused on unstructured
information (eg, natural-language documents), several components in the DeepQA system …
information (eg, natural-language documents), several components in the DeepQA system …