Search Results for author:
Found 14 papers, 2 papers with code
Taec: a Manually annotated text dataset for trait and phenotype extraction and entity linking in wheat breeding literature
A study of the performance of tools trained on the Triticum aestivum trait Corpus shows that the corpus is suitable for the training and evaluation of named entity recognition and linking.
Does constituency analysis enhance domain-specific pre-trained BERT models for relation extraction?
Recently many studies have been conducted on the topic of relation extraction.
Global alignment for relation extraction in Microbiology
We investigate a method to extract relations from texts based on global alignment and syntactic information.
C-Norm: a neural approach to few-shot entity normalization
Entity normalization is an important information extraction task which has gained renewed attention in the last decade, particularly in the biomedical and life science domains.
Ranked #1 on
Medical Concept Normalization
on BB-norm-phenotype
Building Large Lexicalized Ontologies from Text: a Use Case in Automatic Indexing of Biotechnology Patents
This paper presents a tool, TyDI, and methods experimented in the building of a termino-ontology, i. e. a lexicalized ontology aimed at fine-grained indexation for semantic search applications.
Handling Entity Normalization with no Annotated Corpus: Weakly Supervised Methods Based on Distributional Representation and Ontological Information
We propose a new approach to address the scarcity of training data that extends the CONTES method by corpus selection, pre-processing and weak supervision strategies, which can yield high-performance results without any manually annotated examples.
Bacteria Biotope at BioNLP Open Shared Tasks 2019
This paper presents the fourth edition of the Bacteria Biotope task at BioNLP Open Shared Tasks 2019.
Text-mining and ontologies: new approaches to knowledge discovery of microbial diversity
Microbiology research has access to a very large amount of public information on the habitats of microorganisms.
