Medical imaging plays a significant role in clinical practice of medical diagnosis, where the
text reports of the images are essential in understanding them and facilitating later …

Syntactic information, especially dependency trees, has been widely used by existing
studies to improve relation extraction with better semantic guidance for analyzing the context …

Medical images are widely used in clinical decision-making, where writing radiology reports
is a potential application that can be enhanced by automatic solutions to alleviate …

Relation extraction (RE) is an important natural language processing task that predicts the
relation between two given entities, where a good understanding of the contextual …

Radiology reports play a critical role in communicating medical findings to physicians. In
each report, the impression section summarizes essential radiology findings. In clinical …

Medical Relation Extraction (MRE) task aims to extract relations between entities in medical
texts. Traditional relation extraction methods achieve impressive success by exploring the …

Aspect-based sentiment analysis (ABSA) predicts the sentiment polarity towards a particular
aspect term in a sentence, which is an important task in real-world applications. To perform …

Most recent studies for relation extraction (RE) leverage the dependency tree of the input
sentence to incorporate syntax-driven contextual information to improve model performance …

Having the difficulty of solving the semantic gap between images and texts for the image
captioning task, conventional studies in this area paid some attention to treating semantic …

Few-shot relation classification aims to classify the relation type between two given entities
in a sentence by training with a few labeled instances for each relation. However, most of …