Improving text simplification by corpus expansion with unsupervised learning.
Akihiro KatsutaKazuhide YamamotoPublished in: IALP (2019)
Keyphrases
- unsupervised learning
- supervised machine learning
- text data
- broad coverage
- open domain
- supervised learning
- plain text
- sentence level
- named entity disambiguation
- text corpora
- text classification
- text corpus
- machine learning
- topic segmentation
- training corpus
- text mining
- free text
- lexical features
- newspaper articles
- world knowledge
- natural language text
- deep learning
- anaphora resolution
- information extraction systems
- information retrieval
- textual features
- temporal expressions
- english words
- named entities
- text documents
- text retrieval
- document corpus
- multiword
- information extraction
- recognizing textual entailment
- scientific papers
- dimensionality reduction
- word sense
- noun phrases
- document level
- manually annotated
- learning algorithm
- text collections
- writing style
- reinforcement learning
- semi supervised
- object recognition
- word pairs
- multiresolution