A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering.
Matthew MaufeJames RavenscroftRob ProcterMaria LiakataPublished in: EMNLP (Demos) (2022)
Keyphrases
- synthetic data
- question answering
- real world
- question classification
- data sets
- natural language processing
- question answering systems
- information retrieval
- natural language questions
- real image data
- natural language
- information extraction
- cross language
- syntactic information
- named entities
- qa clef
- open domain question answering
- relation extraction
- passage retrieval
- answer extraction
- textual entailment recognition
- metadata
- data mining
- information access
- candidate answers
- co occurrence