SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge 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 GrayGuilherme LimaRyan RiegelFrancois P. S. LuusL. Venkata SubramaniamPublished in: EMNLP (Findings) (2022)
Keyphrases
- question answering
- knowledge base
- natural language processing
- information retrieval
- named entities
- information extraction
- natural language
- relation extraction
- syntactic information
- cross language
- question answering systems
- question classification
- natural language questions
- answering questions
- wordnet
- machine learning
- passage retrieval
- semantic roles
- textual entailment recognition
- sentence retrieval
- qa clef
- knowledge representation
- keywords
- multi modal
- relational databases
- expert systems