49 citations · 101 across the 24 of their papers we have counts for
4 papers · 1 filter
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering
Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar +27
Knowledge base question answering (KBQA)is an important task in Natural Language Processing. Existing approaches face significant challenges including complex question understandin…
Learning Structured Representations of Entity Names using Active Learning and Weak Supervision
Kun Qian, Poornima Chozhiyath Raman, Yunyao Li +1
Structured representations of entity names are useful for many entity-related tasks such as entity normalization and variant generation. Learning the implicit structured representa…
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context
Xinyi Zheng, Doug Burdick, Lucian Popa +2
Documents are often used for knowledge sharing and preservation in business and science, within which are tables that capture most of the critical data. Unfortunately, most documen…
A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching
Venkata Vamsikrishna Meduri, Lucian Popa, Prithviraj Sen +1
Entity Matching (EM) is a core data cleaning task, aiming to identify different mentions of the same real-world entity. Active learning is one way to address the challenge of scarc…