A system review on bootstrap** information extraction
H Fang, G Xu, Y Long, Y Guan, X Yang… - Multimedia Tools and …, 2024 - Springer
Focusing on the supervision problems caused by high-cost and low-quality labeling in
information extraction, we provided a detailed overview of the various approaches that were …
information extraction, we provided a detailed overview of the various approaches that were …
[PDF][PDF] Extraction of hyponymy, meronymy and antonymy relation pairs: A brief survey
G Sahin - International Journal on Natural Language Computing …, 2017 - academia.edu
Semantic dictionaries are widely used in natural language processing studies. Broad range
of methods have been proposed to construct semantic dictionaries until this time. In this …
of methods have been proposed to construct semantic dictionaries until this time. In this …
Pattern and semantic similarity based automatic extraction of hyponym-hypernym relation from Turkish corpus
Extraction of semantic relations from various resources (Wikipedia, Web, corpus etc.) is an
important issue in natural language processing. In this paper, automatic extraction of …
important issue in natural language processing. In this paper, automatic extraction of …
An integrated approach to automatic synonym detection in Turkish corpus
In this study, we designed a model to determine synonymy. Our main assumption is that
synonym pairs show similar semantic and dependency relation by the definition. They share …
synonym pairs show similar semantic and dependency relation by the definition. They share …
Learning Turkish hypernymy using word embeddings
S Yıldırım, T Yıldız - International Journal of Computational Intelligence …, 2018 - Springer
Abstract Recently, Neural Network Language Models have been effectively applied to many
types of Natural Language Processing (NLP) tasks. One popular type of tasks is the …
types of Natural Language Processing (NLP) tasks. One popular type of tasks is the …
Relation Extraction: Hypernymy Discovery Using a Novel Pattern Learning Algorithm
O Pinto, S Gole, HP Srushti, AK Madasamy - SN Computer Science, 2023 - Springer
This paper proposes a semi-supervised relation extraction methodology to extract
hypernymy (Is-A) relations. We developed a pattern learning-based model based on a" most …
hypernymy (Is-A) relations. We developed a pattern learning-based model based on a" most …
Turkish wordnet
Turkish Wordnet is a lexical database for Turkish, built at Sabancı University in Istanbul,
Turkey, between 2001 and 2004 as part of the Balkanet project. It currently contains 20,345 …
Turkey, between 2001 and 2004 as part of the Balkanet project. It currently contains 20,345 …
Learning Semantic Text Similarity to rank Hypernyms of Financial Terms
Over the years, there has been a paradigm shift in how users access financial services. With
the advancement of digitalization more users have been preferring the online mode of …
the advancement of digitalization more users have been preferring the online mode of …
Asper: Attention-based approach to extract syntactic patterns denoting semantic relations in sentential context
Semantic relationships, such as hyponym–hypernym, cause–effect, meronym–holonym etc.,
between a pair of entities in a sentence are usually reflected through syntactic patterns …
between a pair of entities in a sentence are usually reflected through syntactic patterns …
[HTML][HTML] Deep Learning Based Methods for Automatic Extraction of Syntactic Patterns and their Application for Knowledge Discovery
MA Kabir - 2023 - scholarworks.iupui.edu
Semantic pairs, which consist of related entities or concepts, serve as the foundation for
comprehending the meaning of language in both written and spoken forms. These pairs …
comprehending the meaning of language in both written and spoken forms. These pairs …