Pre-trained language models in biomedical domain: A systematic survey
Pre-trained language models (PLMs) have been the de facto paradigm for most natural
language processing tasks. This also benefits the biomedical domain: researchers from …
language processing tasks. This also benefits the biomedical domain: researchers from …
Paradigm shift in natural language processing
In the era of deep learning, modeling for most natural language processing (NLP) tasks has
converged into several mainstream paradigms. For example, we usually adopt the …
converged into several mainstream paradigms. For example, we usually adopt the …
A survey on deep learning event extraction: Approaches and applications
Event extraction (EE) is a crucial research task for promptly apprehending event information
from massive textual data. With the rapid development of deep learning, EE based on deep …
from massive textual data. With the rapid development of deep learning, EE based on deep …
Joint biomedical entity and relation extraction with knowledge-enhanced collective inference
Compared to the general news domain, information extraction (IE) from biomedical text
requires much broader domain knowledge. However, many previous IE methods do not …
requires much broader domain knowledge. However, many previous IE methods do not …
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 …
The devil is in the details: On the pitfalls of event extraction evaluation
Event extraction (EE) is a crucial task aiming at extracting events from texts, which includes
two subtasks: event detection (ED) and event argument extraction (EAE). In this paper, we …
two subtasks: event detection (ED) and event argument extraction (EAE). In this paper, we …
PHEE: A dataset for pharmacovigilance event extraction from text
The primary goal of drug safety researchers and regulators is to promptly identify adverse
drug reactions. Doing so may in turn prevent or reduce the harm to patients and ultimately …
drug reactions. Doing so may in turn prevent or reduce the harm to patients and ultimately …
A survey of the recent trends in deep learning for literature based discovery in the biomedical domain
Every day, enormous amounts of biomedical texts discussing various biomedical topics are
produced. Revealing strong semantic connections hidden in those unstructured data is …
produced. Revealing strong semantic connections hidden in those unstructured data is …
[PDF][PDF] Fine-grained information extraction from biomedical literature based on knowledge-enriched abstract meaning representation
Abstract Biomedical Information Extraction from scientific literature presents two unique and
nontrivial challenges. First, compared with general natural language texts, sentences from …
nontrivial challenges. First, compared with general natural language texts, sentences from …
Training multimedia event extraction with generated images and captions
Contemporary news reporting increasingly features multimedia content, motivating research
on multimedia event extraction. However, the task lacks annotated multimodal training data …
on multimedia event extraction. However, the task lacks annotated multimodal training data …