What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization.
Markus ZopfTeresa BotschenTobias FalkeBenjamin HeinzerlingAna MarasovicTodor MihaylovAvinesh P. V. S.Eneldo Loza MencíaJohannes FürnkranzAnette FrankPublished in: SNAMS (2018)
Keyphrases
- text summarization
- language generation
- natural language processing
- extractive summarization
- topic segmentation
- text generation
- linguistic analysis
- linguistic information
- keywords
- automatic summarization
- semantic annotation
- information retrieval
- automatic text summarization
- natural language text
- semantic representations
- linguistic patterns
- natural language
- natural language descriptions
- syntactic structures
- text mining
- database
- syntactic analysis
- multi document summarization
- image annotation
- natural language generation
- semantic labels
- document summarization
- user generated
- text documents
- information extraction
- machine learning