A survey on event extraction for natural language understanding: Riding the biomedical literature wave
Motivation: The scientific literature embeds an enormous amount of relational knowledge,
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …
Bioreader: a retrieval-enhanced text-to-text transformer for biomedical literature
The latest batch of research has equipped language models with the ability to attend over
relevant and factual information from non-parametric external sources, drawing a …
relevant and factual information from non-parametric external sources, drawing a …
Efficient memory-enhanced transformer for long-document summarization in low-resource regimes
Long document summarization poses obstacles to current generative transformer-based
models because of the broad context to process and understand. Indeed, detecting long …
models because of the broad context to process and understand. Indeed, detecting long …
Carburacy: summarization models tuning and comparison in eco-sustainable regimes with a novel carbon-aware accuracy
Generative transformer-based models have reached cutting-edge performance in long
document summarization. Nevertheless, this task is witnessing a paradigm shift in …
document summarization. Nevertheless, this task is witnessing a paradigm shift in …
Comprehensive analysis of knowledge graph embedding techniques benchmarked on link prediction
In knowledge graph representation learning, link prediction is among the most popular and
influential tasks. Its surge in popularity has resulted in a panoply of orthogonal embedding …
influential tasks. Its surge in popularity has resulted in a panoply of orthogonal embedding …
Efficient self-supervised metric information retrieval: a bibliography based method applied to COVID literature
G Moro, L Valgimigli - Sensors, 2021 - mdpi.com
The literature on coronaviruses counts more than 300,000 publications. Finding relevant
papers concerning arbitrary queries is essential to discovery helpful knowledge. Current …
papers concerning arbitrary queries is essential to discovery helpful knowledge. Current …
Cogito ergo summ: abstractive summarization of biomedical papers via semantic parsing graphs and consistency rewards
The automatic synthesis of biomedical publications catalyzes a profound research interest
elicited by literature congestion. Current sequence-to-sequence models mainly rely on the …
elicited by literature congestion. Current sequence-to-sequence models mainly rely on the …
[HTML][HTML] Efficient text-image semantic search: A multi-modal vision-language approach for fashion retrieval
In this paper, we address the problem of multi-modal retrieval of fashion products. State-of-
the-art (SOTA) works proposed in literature use vision-and-language transformers to assign …
the-art (SOTA) works proposed in literature use vision-and-language transformers to assign …
NLG-metricverse: An end-to-end library for evaluating natural language generation
Driven by deep learning breakthroughs, natural language generation (NLG) models have
been at the center of steady progress in the last few years, with a ubiquitous task influence …
been at the center of steady progress in the last few years, with a ubiquitous task influence …
Text-to-text extraction and verbalization of biomedical event graphs
Biomedical events represent complex, graphical, and semantically rich interactions
expressed in the scientific literature. Almost all contributions in the event realm orbit around …
expressed in the scientific literature. Almost all contributions in the event realm orbit around …