A review of keyphrase extraction
E Papagiannopoulou… - … Reviews: Data Mining …, 2020 - Wiley Online Library
Keyphrase extraction is a textual information processing task concerned with the automatic
extraction of representative and characteristic phrases from a document that express all the …
extraction of representative and characteristic phrases from a document that express all the …
Automatic keyphrase extraction: a survey and trends
Due to the exponential growth of textual data and web sources, an automatic mechanism is
required to identify relevant information embedded within them. The utility of Automatic …
required to identify relevant information embedded within them. The utility of Automatic …
Automatic keyphrase extraction from scientific articles
This paper describes the organization and results of the automatic keyphrase extraction task
held at the Workshop on Semantic Evaluation 2010 (SemEval-2010). The keyphrase …
held at the Workshop on Semantic Evaluation 2010 (SemEval-2010). The keyphrase …
From statistical methods to deep learning, automatic keyphrase prediction: A survey
Keyphrase prediction aims to generate phrases (keyphrases) that highly summarizes a
given document. Recently, researchers have conducted in-depth studies on this task from …
given document. Recently, researchers have conducted in-depth studies on this task from …
-Guided Encoding for Keyphrase Generation
Keyphrase generation (KG) aims to generate a set of keyphrases given a document, which
is a fundamental task in natural language processing (NLP). Most previous methods solve …
is a fundamental task in natural language processing (NLP). Most previous methods solve …
Textual keyword extraction and summarization: State-of-the-art
With the advent of Web 2.0, there exist many online platforms that results in massive textual
data production such as social networks, online blogs, magazines etc. This textual data …
data production such as social networks, online blogs, magazines etc. This textual data …
Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records
Pathology reports contain the essential data for both clinical and research purposes.
However, the extraction of meaningful, qualitative data from the original document is difficult …
However, the extraction of meaningful, qualitative data from the original document is difficult …
PKE: an open source python-based keyphrase extraction toolkit
F Boudin - Proceedings of COLING 2016, the 26th international …, 2016 - aclanthology.org
We describe pke, an open source python-based keyphrase extraction toolkit. It provides an
end-to-end keyphrase extraction pipeline in which each component can be easily modified …
end-to-end keyphrase extraction pipeline in which each component can be easily modified …
An automated materials and processes identification tool for material informatics using deep learning approach
This article reports a tool that enables Materials Informatics, termed as MatRec, via a deep
learning approach. The tool captures data, makes appropriate domain suggestions, extracts …
learning approach. The tool captures data, makes appropriate domain suggestions, extracts …
Phraseformer: Multimodal key-phrase extraction using transformer and graph embedding
N Nikzad-Khasmakhi, MR Feizi-Derakhshi… - arXiv preprint arXiv …, 2021 - arxiv.org
Background: Keyword extraction is a popular research topic in the field of natural language
processing. Keywords are terms that describe the most relevant information in a document …
processing. Keywords are terms that describe the most relevant information in a document …