Corpus ID: 1255845

Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions

@inproceedings{Clark2016CombiningRS,
  title={Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions},
  author={Peter Clark and Oren Etzioni and Tushar Khot and Ashish Sabharwal and Oyvind Tafjord and Peter D. Turney and Daniel Khashabi},
  booktitle={AAAI},
  year={2016}
}
What capabilities are required for an AI system to pass standard 4th Grade Science Tests. [...] Key Result We conclude with a detailed analysis, illustrating the complementary strengths of each method in the ensemble. Our datasets are being released to enable further research.Expand
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Question Answering as Global Reasoning Over Semantic Abstractions
Towards Literate Artificial Intelligence
Improving Question Answering with External Knowledge
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 31 REFERENCES
Exploring Markov Logic Networks for Question Answering
Learning to Rank Answers to Non-Factoid Questions from Web Collections
Project Halo Update - Progress Toward Digital Aristotle
Open question answering over curated and extracted knowledge bases
Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge!
My Computer Is an Honor Student - but How Intelligent Is It? Standardized Tests as a Measure of AI
Markov logic networks
A probabilistic graphical model for joint answer ranking in question answering
Question Answering Using Enhanced Lexical Semantic Models
...
1
2
3
4
...