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Found 6 papers, 1 papers with code
Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases
Adapting existing supervised and unsupervised solutions for the Russian language faces several limitations due to the rich morphology of Russian and the limited number of training datasets available.
Exploring Fine-tuned Generative Models for Keyphrase Selection: A Case Study for Russian
Keyphrase selection plays a pivotal role within the domain of scholarly texts, facilitating efficient information retrieval, summarization, and indexing.
Cross-Domain Robustness of Transformer-based Keyphrase Generation
In our experiments, abstractive text summarization models fine-tuned for keyphrase generation show quite high results for a target text corpus.
Protein-protein docking using a tensor train black-box optimization method
Black-box optimization methods play an important role in many fields of computational simulation.
Applying Transformer-based Text Summarization for Keyphrase Generation
In this paper, we experiment with popular transformer-based models for abstractive text summarization using four benchmark datasets for keyphrase extraction.
MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection
This paper describes our system for SemEval-2021 Task 5 on Toxic Spans Detection.
