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 …

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 …

[KNIHA][B] Semantic similarity from natural language and ontology analysis

S Harispe, S Ranwez, J Montmain - 2022 - books.google.com
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 …

Relation extraction: A survey

S Pawar, GK Palshikar, P Bhattacharyya - arxiv preprint arxiv:1712.05191, 2017 - arxiv.org
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 …

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 …

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 …

Automatic knowledge extraction from documents

J Fan, A Kalyanpur, DC Gondek… - IBM Journal of …, 2012 - ieeexplore.ieee.org
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 …

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 …

Semantic measures for the comparison of units of language, concepts or instances from text and knowledge base analysis

S Harispe, S Ranwez, S Janaqi, J Montmain - arxiv preprint arxiv …, 2013 - arxiv.org
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 …

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 …