The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Semantic Parsing on Freebase from Question-Answer Pairs
Open accessAbstract
In this paper, we train a semantic parser that scales up to Freebase.Instead of relying on annotated logical forms, which is especially expensive to obtain at large scale, we learn from question-answer pairs.The main challenge in this setting is narrowing down the huge number of possible logical predicates for a given question.We tackle this problem in two ways: First, we build a coarse mapping from phrases to predicates using a knowledge base and a large text corpus.Second, we use a bridging operation to generate additional predicates based on neighboring predicates.On the dataset of Cai and Yates (2013), despite not having annotated logical forms, our system outperforms their state-of-the-art parser.Additionally, we collected a more realistic and challenging dataset of question-answer pairs and improves over a natural baseline.
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Toward an architecture for never-ending language learning
Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Hruschka, E., & Mitchell, T. (2010) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v24i1.7519 · Cited by 2,000
SUTime: A library for recognizing and normalizing time expressions
Chang, A. X., & Manning, C. (2012) · Proceedings of the Language Resources and Evaluation Conference · doi:10.63317/5pi53hxdrsdt · Cited by 383
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PaLM: Scaling Language Modeling with Pathways
Chowdhery, A., Narang, S., Devlin, J., Bosma, M., Mishra, G., Roberts, A., Barham, P., Chung, H. W., Sutton, C., Gehrmann, S., et al. (2022) · arXiv · doi:10.48550/arxiv.2204.02311 · Cited by 2,590
“Next we study the variance of few-shot learning performance on the StoryCloze, Natural Questions, and Web Questions benchmarks presented in Section 6.1.”
BackgroundInfluential
Metadata
- Authors
- Berant, J., Chou, A., Frostig, R., & Liang, P.
- Venue
- Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
- Published
- 2013
- Pages
- 1533-1544
- OpenAlex
- W2252136820
- Cited by
- 1,517
- References
- 2
- FWCI
- 46.83
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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