most citedImproving Natural Language Inference Using External Knowledge in the Science Questions Domain

16 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2019★ 1 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★ 12 cited

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★ 16 cited

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…