most citedSchemaless Queries over Document Tables with Dependencies

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.DB20191 cited

Schemaless Queries over Document Tables with Dependencies

Mustafa Canim, Cristina Cornelio, Arun Iyengar +2

Unstructured enterprise data such as reports, manuals and guidelines often contain tables. The traditional way of integrating data from these tables is through a two-step process o…

cs.AI2019

High-Fidelity Vector Space Models of Structured Data

Maxwell Crouse, Achille Fokoue, Maria Chang +6

Machine learning systems regularly deal with structured data in real-world applications. Unfortunately, such data has been difficult to faithfully represent in a way that most mach…

cs.AI2018

Answering Science Exam Questions Using Query Rewriting with Background Knowledge

Ryan Musa, Xiaoyan Wang, Achille Fokoue +6

Open-domain question answering (QA) is an important problem in AI and NLP that is emerging as a bellwether for progress on the generalizability of AI methods and techniques. Much o…

cs.AI2018

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain

Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa +8

Natural Language Inference (NLI) is fundamental to many Natural Language Processing (NLP) applications including semantic search and question answering. The NLI problem has gained…

cs.AI2018

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

Michael Boratko, Harshit Padigela, Divyendra Mikkilineni +10

The recent work of Clark et al. introduces the AI2 Reasoning Challenge (ARC) and the associated ARC dataset that partitions open domain, complex science questions into an Easy Set…