Named entity recognition approaches and their comparison for custom ner model
Named entity recognition (NER) is a natural language processing tool for information
extraction from unstructured text data such as e-mails, newspapers, blogs, etc. NER is the …
extraction from unstructured text data such as e-mails, newspapers, blogs, etc. NER is the …
Newsmap: A semi-supervised approach to geographical news classification
K Watanabe - Digital Journalism, 2018 - Taylor & Francis
This paper presents the results of an evaluation of three different types of geographical news
classification methods:(1) simple keyword matching, a popular method in media and …
classification methods:(1) simple keyword matching, a popular method in media and …
Summarization of changes in dynamic text collections using Latent Dirichlet Allocation model
In the area of Information Retrieval, the task of automatic text summarization usually
assumes a static underlying collection of documents, disregarding the temporal dimension …
assumes a static underlying collection of documents, disregarding the temporal dimension …
Collective disambiguation and semantic annotation for entity linking and typing
M Chabchoub, M Gagnon, A Zouaq - … , Crete, Greece, May 29-June 2 …, 2016 - Springer
In this paper we present the WESTLAB system, the winner of the 2016 OKE challenge Task
1. Our approach combines the output of a semantic annotator with the output of a named …
1. Our approach combines the output of a semantic annotator with the output of a named …
Author name disambiguation in MEDLINE based on journal descriptors and semantic types
D Vishnyakova, R Rodriguez-Esteban… - Proceedings of the …, 2016 - aclanthology.org
Author name disambiguation (AND) in publication and citation resources is a well-known
problem. Often, information about email address and other details in the affiliation is missing …
problem. Often, information about email address and other details in the affiliation is missing …
Evaluation of stanford ner for extraction of assembly information from instruction manuals
Teaching industrial robots by demonstration can significantly decrease the repurposing
costs of assembly lines worldwide. To achieve this goal, the robot needs to detect and track …
costs of assembly lines worldwide. To achieve this goal, the robot needs to detect and track …
[HTML][HTML] FICLONE: improving DBpedia spotlight using named entity recognition and collective disambiguation
M Chabchoub, M Gagnon, A Zouaq - Open Journal of Semantic Web …, 2018 - ronpub.com
In this paper we present FICLONE, which aims to improve the performance of DBpedia
Spotlight, not only for the task of semantic annotation (SA), but also for the sub-task of …
Spotlight, not only for the task of semantic annotation (SA), but also for the sub-task of …
[PDF][PDF] Amrita-cen@ neel: Identification and linking of twitter entities
HB Barathi Ganesh, N Abinaya… - Making Sense of …, 2015 - academia.edu
ABSTRACT A short text gets updated every now and then. With the global upswing of such
micro posts, the need to retrieve information from them also seems to be incumbent. This …
micro posts, the need to retrieve information from them also seems to be incumbent. This …
Approach for enterprise search and interoperability using lightweight semantic
In this paper we want to describe a solution for the enterprise search and interoperability by
using the lightweight semantic approach, which is suitable for small and micro enterprises …
using the lightweight semantic approach, which is suitable for small and micro enterprises …
[PDF][PDF] Extraction automatique d'entités et de relations par ontologies et programmation logique inductive.
B Espinasse, R Lima, F Freitas - Rev. d'Intelligence Artif., 2016 - pageperso.lis-lab.fr
Face à la quantité croissante d'informations disponibles tant sur le web que dans les
bibliothèques numériques, le développement de systèmes d'extraction d'information (EI) …
bibliothèques numériques, le développement de systèmes d'extraction d'information (EI) …