Domain-specific language model pretraining for biomedical natural language processing, 2020. ar** strategies for adverse drug events from social mediaPatients advise their peers on how to cope with their illness in daily life on online support
groups. To date, no efforts have been made to automatically extract recommended co** …
groups. To date, no efforts have been made to automatically extract recommended co** …
[PDF][PDF] TOBB ETU at CheckThat!-2022: Detecting Attention-Worthy and Harmful Tweets and Check-Worthy Claims.
In this paper, we present our participation in CLEF 2022 CheckThat! Lab's Task 1 on
detecting checkworthy and verifiable claims and attention-worthy and harmful tweets. We …
detecting checkworthy and verifiable claims and attention-worthy and harmful tweets. We …
Contextualized structural self-supervised learning for ontology matching
Z Wang - arxiv preprint arxiv:2310.03840, 2023 - arxiv.org
Ontology matching (OM) entails the identification of semantic relationships between
concepts within two or more knowledge graphs (KGs) and serves as a critical step in …
concepts within two or more knowledge graphs (KGs) and serves as a critical step in …
DDI-MuG: Multi-aspect graphs for drug-drug interaction extraction
Introduction Drug-drug interaction (DDI) may lead to adverse reactions in patients, thus it is
important to extract such knowledge from biomedical texts. However, previously proposed …
important to extract such knowledge from biomedical texts. However, previously proposed …
[PDF][PDF] Multilingual Medical Entity Recognition and Cross-lingual Zero-Shot Linking with Facebook AI Similarity Search.
M Schwarz, K Chapman, B Häussler - IberLEF@ SEPLN, 2022 - ceur-ws.org
We present our submission for the LivingNER: Named entity recognition, normalization
classification of species, pathogens and food shared task [1] under the team name IGES …
classification of species, pathogens and food shared task [1] under the team name IGES …
[PDF][PDF] Universal Passage Weighting Mecanism (UPWM) in BioASQ 9b.
This paper presents the participation of the University of Aveiro Biomedical Informatics and
Techologies group (BIT) in the ninth edition of the BioASQ challenge for document and …
Techologies group (BIT) in the ninth edition of the BioASQ challenge for document and …
[PDF][PDF] Context aware Named Entity Recognition and Relation Extraction with Domain-specific language model.
ChEMU 2022 tasks 1a and 1b aim to NER (Named Entity Recognition) and EE (Event
Extraction) benchmarks. EE is RE (relation extraction) between trigger word and entity. We …
Extraction) benchmarks. EE is RE (relation extraction) between trigger word and entity. We …
On the Automatic Assessment of Natural Language Expert Explanations in Medicine
The importance of explanations in decision-making, particularly in the medical domain, has
been widely recognized. However, the evaluation of the quality of these explanations …
been widely recognized. However, the evaluation of the quality of these explanations …