SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases.
Sumit NeelamUdit SharmaHima KaranamShajith IkbalPavan KapanipathiIbrahim AbdelazizNandana MihindukulasooriyaYoung-Suk LeeSantosh K. SrivastavaCezar PendusSaswati DanaDinesh GargAchille FokoueG. P. Shrivatsa BhargavDinesh KhandelwalSrinivas RavishankarSairam GurajadaMaria ChangRosario Uceda-SosaSalim RoukosAlexander G. GrayGuilherme LimaRyan RiegelFrancois P. S. LuusL. Venkata SubramaniamPublished in: CoRR (2021)
Keyphrases
- question answering
- information retrieval
- information extraction
- named entities
- qa clef
- question classification
- cross language
- passage retrieval
- natural language questions
- natural language
- open domain question answering
- natural language processing
- textual entailment recognition
- question answering systems
- artificial intelligence
- syntactic information
- semantic roles
- evaluation methods
- expert systems