Who Cited It

Semantic Parsing on Freebase from Question-Answer Pairs

2013 · 1,618 citations · 5 from inside this corpus

Jonathan Berant low, Andrew Chou low, Roy Frostig, Percy Liang

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.

Semantic Parsing on Freebase from Question-Answer Pairs (2013)Semantic Parsing on Freebase …Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2010)Adaptive Subgradient Methods …Automatic acquisition of hyponyms from large text corpora (1992)Automatic acquisition of hypo…Toward an Architecture for Never-Ending Language Learning (2010)Toward an Architecture for Ne…Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met… (2026)Affordance-Compiled Intellige…Language Models are Few-Shot Learners (2020)Language Models are Few-Shot …Knowledge Graph Embedding: A Survey of Approaches and Applications (2017)Knowledge Graph Embedding: A …Reading Wikipedia to Answer Open-Domain Questions (2017)Reading Wikipedia to Answer O…A Survey on Deep Learning (2018)A Survey on Deep Learning
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What this paper cites, inside the corpus

PaperYearCited
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization20108,621
Automatic acquisition of hyponyms from large text corpora19923,311
Toward an Architecture for Never-Ending Language Learning20101,996

What cites it, inside the corpus

PaperYearCited
Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met…20263,059
Language Models are Few-Shot Learners20203,020
Knowledge Graph Embedding: A Survey of Approaches and Applications20172,703
Reading Wikipedia to Answer Open-Domain Questions20171,454
A Survey on Deep Learning20181,398

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Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Multimodal Machine Learning ApplicationsComputer Science

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