Pretrained domain-specific language model for natural language processing tasks in the AEC domain
As an essential task for the architecture, engineering, and construction (AEC) industry,
information processing and acquiring from unstructured textual data based on natural …
information processing and acquiring from unstructured textual data based on natural …
Knowledge-informed semantic alignment and rule interpretation for automated compliance checking
As an essential prodecure to improve design quality in the construction industry, automated
rule checking (ARC) requires intelligent rule interpretation from regulatory texts and precise …
rule checking (ARC) requires intelligent rule interpretation from regulatory texts and precise …
Medical crossing: a cross-lingual evaluation of clinical entity linking
Medical data annotation requires highly qualified expertise. Despite the efforts devoted to
medical entity linking in different languages, available data is very sparse in terms of both …
medical entity linking in different languages, available data is very sparse in terms of both …
A Dataset for Evaluating Contextualized Representation of Biomedical Concepts in Language Models
Due to the complexity of the biomedical domain, the ability to capture semantically
meaningful representations of terms in context is a long-standing challenge. Despite …
meaningful representations of terms in context is a long-standing challenge. Despite …
Pretrained domain-specific language model for general information retrieval tasks in the aec domain
NeighBERT: Medical Entity Linking Using Relation-Induced Dense Retrieval
One of the common tasks in clinical natural language processing is medical entity linking
(MEL) which involves mention detection followed by linking the mention to an entity in a …
(MEL) which involves mention detection followed by linking the mention to an entity in a …
Cross-lingual UMLS named entity linking using UMLS dictionary fine-tuning
We study cross-lingual UMLS named entity linking, where mentions in a given source
language are mapped to UMLS concepts, most of which are labeled in English. Our cross …
language are mapped to UMLS concepts, most of which are labeled in English. Our cross …
Combining Machine Learning and Ontology: A Systematic Literature Review
Motivated by the desire to explore the process of combining inductive and deductive
reasoning, we conducted a systematic literature review of articles that investigate the …
reasoning, we conducted a systematic literature review of articles that investigate the …