Leveraging Abstract Meaning Representation for Knowledge Base Question Answering.
Pavan KapanipathiIbrahim AbdelazizSrinivas RavishankarSalim RoukosAlexander G. GrayRamón Fernandez AstudilloMaria ChangCristina CornelioSaswati DanaAchille FokoueDinesh GargAlfio GliozzoSairam GurajadaHima KaranamNaweed KhanDinesh KhandelwalYoung-Suk LeeYunyao LiFrancois P. S. LuusNdivhuwo MakondoNandana MihindukulasooriyaTahira NaseemSumit NeelamLucian PopaRevanth Gangi ReddyRyan RiegelGaetano RossielloUdit SharmaG. P. Shrivatsa BhargavMo YuPublished in: ACL/IJCNLP (Findings) (2021)
Keyphrases
- question answering
- knowledge base
- natural language
- natural language processing
- named entities
- information retrieval
- information extraction
- knowledge representation
- cross language
- question classification
- natural language questions
- wordnet
- question answering systems
- qa clef
- high level
- semantic representation
- open domain question answering
- passage retrieval
- relation extraction
- expert systems
- syntactic information
- image representation
- sentence retrieval
- textual entailment recognition
- data mining
- semantic roles
- conceptual graphs
- answer extraction
- answering questions