[HTML][HTML] Ayurveda research: Emerging trends and map** to sustainable development goals
P Nedungadi, SN Salethoor, R Puthiyedath… - Journal of Ayurveda and …, 2023 - Elsevier
Ayurveda is India's prominent traditional medical system. The World Health Organization
has stated the need for more evidence and data from conventional medicine methods to …
has stated the need for more evidence and data from conventional medicine methods to …
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 …
Fast and constrained absent keyphrase generation by prompt-based learning
Generating absent keyphrases, which do not appear in the input document, is challenging in
the keyphrase prediction task. Most previous works treat the problem as an autoregressive …
the keyphrase prediction task. Most previous works treat the problem as an autoregressive …
KPDROP: Improving absent keyphrase generation
Keyphrase generation is the task of generating phrases (keyphrases) that summarize the
main topics of a given document. Keyphrases can be either present or absent from the given …
main topics of a given document. Keyphrases can be either present or absent from the given …
Keyphrase generation with fine-grained evaluation-guided reinforcement learning
Aiming to generate a set of keyphrases, Keyphrase Generation (KG) is a classical task for
capturing the central idea from a given document. Based on Seq2Seq models, the previous …
capturing the central idea from a given document. Based on Seq2Seq models, the previous …
SimCKP: Simple Contrastive Learning of Keyphrase Representations
Keyphrase generation (KG) aims to generate a set of summarizing words or phrases given a
source document, while keyphrase extraction (KE) aims to identify them from the text …
source document, while keyphrase extraction (KE) aims to identify them from the text …
MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs
Keyphrase extraction aims to identify a small set of phrases that best describe the content of
text. The automatic generation of keyphrases has become essential for many natural …
text. The automatic generation of keyphrases has become essential for many natural …
Keyphrase extraction with incomplete annotated training data
Y Lei, C Hu, G Ma, R Zhang - … of the Seventh Workshop on Noisy …, 2021 - aclanthology.org
Extracting keyphrases that summarize the main points of a document is a fundamental task
in natural language processing. Supervised approaches to keyphrase extraction (KPE) are …
in natural language processing. Supervised approaches to keyphrase extraction (KPE) are …
MADeGen: Multi-Agent based Deep Reinforcement Learning for Sequential Keyphrase Generation.
J Jose, PB Soundarabai - International Journal of Intelligent …, 2024 - search.ebscohost.com
Keyphrase generation is an essential tool in the field of natural language processing for
information retrieval, document summarization, and text recommendation applications …
information retrieval, document summarization, and text recommendation applications …
Dependency Graphs for Summarization and Keyphrase Extraction: We present a real-time long document summarization and key-phrase extraction algorithm that …
We introduce a graph-based summarization and keyphrase extraction system that uses
dependency trees as inputs for building a document graph. The document graph is built by …
dependency trees as inputs for building a document graph. The document graph is built by …