Extraction of semantic biomedical relations from text using conditional random fields.
Markus BundschusMathäus DejoriMartin StetterVolker TrespHans-Peter KriegelPublished in: BMC Bioinform. (2008)
Keyphrases
- linguistic analysis
- rhetorical structure theory
- information extraction
- entity extraction
- text mining
- dependency relations
- arabic text
- named entity recognition
- semantic information
- text processing
- semantic network
- shallow semantic
- natural language processing
- natural language text
- genia corpus
- semantic relations
- natural language
- semantic representations
- text extraction
- semantic structure
- automatically extracted
- text segments
- semantic content
- textual entailment
- lexical semantics
- relation extraction
- text documents
- biomedical text
- semantic representation
- information retrieval
- semantically related
- cross media
- linguistic patterns
- free text
- text representation
- word pairs
- scientific literature
- text retrieval
- semantic similarity
- web documents
- semantic constraints
- conceptual graphs
- automatic extraction
- domain ontology
- text classification
- sentence similarity
- semantic features
- automatically extracting
- semantic web
- latent semantic analysis
- semantic relationships
- co occurrence
- machine learning