SciNLI: A Corpus for Natural Language Inference on Scientific Text.
Mobashir SadatCornelia CarageaPublished in: ACL (1) (2022)
Keyphrases
- natural language
- natural language text
- scientific papers
- natural language generation
- supervised machine learning
- broad coverage
- text generation
- open domain
- text data
- semantic representation
- information extraction
- linguistic analysis
- sentence level
- natural language processing
- question answering
- semantic interpretation
- plain text
- world knowledge
- syntactic structures
- scientific literature
- multiword
- information retrieval
- document corpus
- linguistic patterns
- named entity disambiguation
- topic segmentation
- semantic analysis
- keywords
- text corpora
- text mining
- natural language sentences
- scientific documents
- artificial intelligence
- lexical features
- information extraction systems
- anaphora resolution
- human language
- newspaper articles
- document level
- free text
- language processing
- dialogue system
- noun phrases
- training corpus
- text corpus
- spontaneous speech
- english words
- lexical semantics
- text collections
- knowledge representation
- linguistic information
- entity extraction
- bayesian networks
- text retrieval
- machine learning
- text documents