Results 61 to 70 of about 12,045,326 (363)

A general framework for information extraction using dynamic span graphs [PDF]

North American Chapter of the Association for Computational Linguistics, 2019
We introduce a general framework for several information extraction tasks that share span representations using dynamically constructed span graphs. The graphs are dynamically constructed by selecting the most confident entity spans and linking these ...
Yi Luan, David Wadden, Luheng He, A. Shah, Mari Ostendorf, Hannaneh Hajishirzi   +5 more
semanticscholar   +1 more source

The complexity of information extraction [PDF]

IEEE Transactions on Information Theory, 1986
How difficult are decision problems based on natural data, such as pattern recognition? To answer this question, decision problems are characterized by introducing four measures defined on a Boolean function f of N variables: the implementation cost C(f) , the randomness R(f) , the deterministic entropy H(f) , and the complexity K(f) .
openaire   +3 more sources

Supervised Learning and Knowledge-Based Approaches Applied to Biomedical Word Sense Disambiguation

Journal of Integrative Bioinformatics, 2017
Word sense disambiguation (WSD) is an important step in biomedical text mining, which is responsible for assigning an unequivocal concept to an ambiguous term, improving the accuracy of biomedical information extraction systems.
Antunes Rui, Matos Sérgio
doaj   +1 more source

A Review of Knowledge Graph Completion

Information, 2022
Information extraction methods proved to be effective at triple extraction from structured or unstructured data. The organization of such triples in the form of (head entity, relation, tail entity) is called the construction of Knowledge Graphs (KGs ...
Mohamad Zamini, Hassan Reza, Minou Rabiei   +2 more
doaj   +1 more source

Artificial intelligence-driven structurization of diagnostic information in free-text pathology reports

Journal of Pathology Informatics, 2020
Background: Free-text sections of pathology reports contain the most important information from a diagnostic standpoint. However, this information is largely underutilized for computer-based analytics.
Pericles S Giannaris, Zainab Al-Taie, Mikhail Kovalenko, Nattapon Thanintorn, Olha Kholod, Yulia Innokenteva, Emily Coberly, Shellaine Frazier, Katsiarina Laziuk, Mihail Popescu, Chi-Ren Shyu, Dong Xu, Richard D Hammer, Dmitriy Shin   +13 more
doaj   +1 more source

Overview of STEM Science as Process, Method, Material, and Data Named Entities

Knowledge, 2022
We are faced with an unprecedented production in scholarly publications worldwide. Stakeholders in the digital libraries posit that the document-based publishing paradigm has reached the limits of adequacy.
Jennifer D’Souza
doaj   +1 more source

Named Entity Recognition and Relation Detection for Biomedical Information Extraction

Frontiers in Cell and Developmental Biology, 2020
The number of scientific publications in the literature is steadily growing, containing our knowledge in the biomedical, health, and clinical sciences.
Nadeesha Perera, M. Dehmer, F. Emmert-Streib   +2 more
semanticscholar   +1 more source

Developing a predictive model using multivariate analysis and Long Short-Term Memory (LSTM) to assess corrosion degradation in mining pipeline thickness.

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Pipeline corrosion has significant impacts on the human, economic, and natural environment. To help better detect and prevent it over time, in this paper, we propose a multivariate approach using machine learning.
Kalidou Moussa Sow, Nadia Ghazzali
doaj   +1 more source

Automated Intellectual Analysis of Consumers' Opinions in the Scope of Internet Marketing and Management of the International Activity in Educational Institution

Proceedings of the International Conference on Applied Innovations in IT, 2017
The issue of internet marketing in the international cooperation in institutions of higher education is studied in the article. Social media marketing technologies are offered to solve the task, paying special attention to the analysis stage.
Daniil Gorbushin, Dmitriy Grinchenkov, Anastasia Kolomiets, Nguyen Phuc Hau   +3 more
doaj   +1 more source

Populating Web-Scale Knowledge Graphs Using Distantly Supervised Relation Extraction and Validation

Information, 2021
In this paper, we propose a fully automated system to extend knowledge graphs using external information from web-scale corpora. The designed system leverages a deep-learning-based technology for relation extraction that can be trained by a distantly ...
Sarthak Dash, Michael R. Glass, Alfio Gliozzo, Mustafa Canim, Gaetano Rossiello   +4 more
doaj   +1 more source