Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions
Peter E. Clark; Oren Etzioni; Tushar Khot; Ashish Sabharwal; Oyvind Tafjord; Peter D. Turney; Daniel Khashabi · 2016 · Proceedings of the AAAI Conference on Artificial Intelligence
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
What capabilities are required for an AI system to pass standard 4th Grade Science Tests? Previous work has examined the use of Markov Logic Networks (MLNs) to represent the requisite background knowledge and interpret test questions, but…
Excerpt shown for reference under fair use — read the full paper at the publisher.
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1609/aaai.v30i1.10325
