A survey on semantic processing techniques
Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …
era of powerful pre-trained language models and large language models, the advancement …
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 …
[PDF][PDF] A Systematic Literature Review of Keyphrases Extraction Approaches.
The keyphrases of a document are the textual units that characterize its content such as the
topics it addresses, its ideas, their field, etc. Thousands of books, articles and web pages are …
topics it addresses, its ideas, their field, etc. Thousands of books, articles and web pages are …
A deep learning model based on BERT and sentence transformer for semantic keyphrase extraction on big social data
In the evolution of the Internet, social media platform like Twitter has permitted the public
user to share information such as famous current affairs, events, opinions, news, and …
user to share information such as famous current affairs, events, opinions, news, and …
EXABSUM: a new text summarization approach for generating extractive and abstractive summaries
Due to the exponential growth of online information, the ability to efficiently extract the most
informative content and target specific information without extensive reading is becoming …
informative content and target specific information without extensive reading is becoming …
Deep learning and embeddings-based approaches for keyphrase extraction: a literature review
Keyphrase extraction is a subtask of natural language processing referring to the automatic
extraction of salient terms that semantically capture the key themes and topics of a …
extraction of salient terms that semantically capture the key themes and topics of a …
Keyword Extraction from Scientific Research Projects Based on SRP‐TF‐IDF
W Zhuohao, W Dong, LI Qing - Chinese Journal of Electronics, 2021 - Wiley Online Library
Keyword extraction by Term frequency‐Inverse document frequency (TF‐IDF) is used for text
information retrieval and mining in many domains, such as news text, social contact text, and …
information retrieval and mining in many domains, such as news text, social contact text, and …
TNT-KID: Transformer-based neural tagger for keyword identification
With growing amounts of available textual data, development of algorithms capable of
automatic analysis, categorization, and summarization of these data has become a …
automatic analysis, categorization, and summarization of these data has become a …
Phraseformer: Multimodal key-phrase extraction using transformer and graph embedding
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 …
From key points to key point hierarchy: Structured and expressive opinion summarization
Key Point Analysis (KPA) has been recently proposed for deriving fine-grained insights from
collections of textual comments. KPA extracts the main points in the data as a list of concise …
collections of textual comments. KPA extracts the main points in the data as a list of concise …