6 citations · 9 across the 3 of their papers we have counts for
3 papers
Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings
Roberto Martínez-Cruz, Alvaro J. López-López, José Portela
Pre-trained language models (PLMs) have achieved strong performance in keyphrase extraction (KPE), largely due to their ability to generate rich contextualized representations. How…
Enhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings
Roberto Martínez-Cruz, Debanjan Mahata, Alvaro J. López-López +1
In this study, we investigate using graph neural network (GNN) representations to enhance contextualized representations of pre-trained language models (PLMs) for keyphrase extract…
ChatGPT vs State-of-the-Art Models: A Benchmarking Study in Keyphrase Generation Task
Roberto Martínez-Cruz, Alvaro J. López-López, José Portela
Transformer-based language models, including ChatGPT, have demonstrated exceptional performance in various natural language generation tasks. However, there has been limited resear…