Exploiting Named Entity Recognition for Information Extraction from Italian Procurement Documents: A Case Study.
Angelo ImpedovoEmanuele Pio BarracchiaGiuseppe RizzoPublished in: iiWAS (2022)
Keyphrases
- named entity recognition
- information extraction
- text documents
- web documents
- information retrieval
- natural language processing
- named entities
- natural language text
- proper names
- relation extraction
- conditional random fields
- text summarization
- document collections
- text mining
- information retrieval systems
- question answering
- machine learning
- classifier ensemble
- document clustering
- natural language
- annotated corpus
- maximum entropy
- semi supervised
- wordnet
- semantic information
- relevant documents
- query terms
- expert systems
- topic models
- word sense disambiguation
- keywords
- clustering algorithm
- learning algorithm
- language model