ATR4S: toolkit with state-of-the-art automatic terms recognition methods in Scala
N Astrakhantsev - Language Resources and Evaluation, 2018 - Springer
Automatically recognized terminology is widely used for various domain-specific texts
processing tasks, such as machine translation, information retrieval or ontology construction …
processing tasks, such as machine translation, information retrieval or ontology construction …
NMF-based approach to automatic term extraction
A Nugumanova, D Akhmed-Zaki, M Mansurova… - Expert Systems with …, 2022 - Elsevier
This work describes automatic term extraction approach based on the combination of the
probabilistic topic modelling (PTM) and non-negative matrix factorization (NMF). Topic …
probabilistic topic modelling (PTM) and non-negative matrix factorization (NMF). Topic …
Semre-rank: Improving automatic term extraction by incorporating semantic relatedness with personalised pagerank
Z Zhang, J Gao, F Ciravegna - ACM Transactions on Knowledge …, 2018 - dl.acm.org
Automatic Term Extraction (ATE) deals with the extraction of terminology from a domain
specific corpus, and has long been an established research area in data and knowledge …
specific corpus, and has long been an established research area in data and knowledge …
Adapted textrank for term extraction: A generic method of improving automatic term extraction algorithms
Abstract Automatic Term Extraction is a fundamental Natural Language Processing task
often used in many knowledge acquisition processes. It is a challenging NLP task due to its …
often used in many knowledge acquisition processes. It is a challenging NLP task due to its …
Evaluating automatic term extraction methods on individual documents
A Šajatović, M Buljan, J Šnajder… - Proceedings of the Joint …, 2019 - aclanthology.org
Abstract Automatic Term Extraction (ATE) extracts terminology from domain-specific corpora.
ATE is used in many NLP tasks, including Computer Assisted Translation, where it is …
ATE is used in many NLP tasks, including Computer Assisted Translation, where it is …
科技术语自动提取技术——现状与思考
常宝宝 - 中国科技术语, 2022 - term.org.cn
文章简要介绍了自动术语提取任务的定义, 主要方法和评价指标. 针对传统的自动术语提取方法,
以互信息, t 值, tf-idf, C/NC-value 为例介绍了单元度和术语度的概念; 针对自动术语标注方法 …
以互信息, t 值, tf-idf, C/NC-value 为例介绍了单元度和术语度的概念; 针对自动术语标注方法 …
Feature-less end-to-end nested term extraction
Y Gao, Y Yuan - Natural Language Processing and Chinese Computing …, 2019 - Springer
In this paper, we proposed a deep learning-based end-to-end method on domain specified
automatic term extraction (ATE), it considers possible term spans within a fixed length in the …
automatic term extraction (ATE), it considers possible term spans within a fixed length in the …
Supervised learning for robust term extraction
Y Yuan, J Gao, Y Zhang - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
We propose a machine learning method to automatically classify the extracted ngrams from
a corpus into terms and non-terms. We use 10 common statistics in previous term extraction …
a corpus into terms and non-terms. We use 10 common statistics in previous term extraction …
Explore and exploit. Dictionary expansion with human-in-the-loop
Abstract Many Knowledge Extraction systems rely on semantic resources-dictionaries,
ontologies, lexical resources-to extract information from unstructured text. A key for …
ontologies, lexical resources-to extract information from unstructured text. A key for …
An intelligent duplicate bug report detection method based on technical term extraction
As the bug description data generated during the software maintenance cycle, bug reports
are usually hastily written by different users, resulting in many redundant and duplicate bug …
are usually hastily written by different users, resulting in many redundant and duplicate bug …