Event-based text mining for biology and functional genomics
The assessment of genome function requires a map** between genome-derived entities
and biochemical reactions, and the biomedical literature represents a rich source of …
and biochemical reactions, and the biomedical literature represents a rich source of …
Learning for biomedical information extraction: Methodological review of recent advances
Biomedical information extraction (BioIE) is important to many applications, including clinical
decision support, integrative biology, and pharmacovigilance, and therefore it has been an …
decision support, integrative biology, and pharmacovigilance, and therefore it has been an …
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 …
[PDF][PDF] TEES 2.1: Automated annotation scheme learning in the BioNLP 2013 Shared Task
We participate in the BioNLP 2013 Shared Task with Turku Event Extraction System (TEES)
version 2.1. TEES is a support vector machine (SVM) based text mining system for the …
version 2.1. TEES is a support vector machine (SVM) based text mining system for the …
[PDF][PDF] UTurku: drug named entity recognition and drug-drug interaction extraction using SVM classification and domain knowledge
The DDIExtraction 2013 task in the SemEval conference concerns the detection of drug
names and statements of drug-drug interactions (DDI) from text. Extraction of DDIs is …
names and statements of drug-drug interactions (DDI) from text. Extraction of DDIs is …
Large-scale event extraction from literature with multi-level gene normalization
Text mining for the life sciences aims to aid database curation, knowledge summarization
and information retrieval through the automated processing of biomedical texts. To provide …
and information retrieval through the automated processing of biomedical texts. To provide …
Improving chemical disease relation extraction with rich features and weakly labeled data
Background Due to the importance of identifying relations between chemicals and diseases
for new drug discovery and improving chemical safety, there has been a growing interest in …
for new drug discovery and improving chemical safety, there has been a growing interest in …
Identification of research hypotheses and new knowledge from scientific literature
Background Text mining (TM) methods have been used extensively to extract relations and
events from the literature. In addition, TM techniques have been used to extract various …
events from the literature. In addition, TM techniques have been used to extract various …
LBERT: Lexically aware Transformer-based Bidirectional Encoder Representation model for learning universal bio-entity relations
Abstract Motivation Natural Language Processing techniques are constantly being
advanced to accommodate the influx of data as well as to provide exhaustive and structured …
advanced to accommodate the influx of data as well as to provide exhaustive and structured …
TEES 2.2: biomedical event extraction for diverse corpora
Abstract Background The Turku Event Extraction System (TEES) is a text mining program
developed for the extraction of events, complex biomedical relationships, from scientific …
developed for the extraction of events, complex biomedical relationships, from scientific …