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Systematic Generalization
ServiceNow Research
Systematic Generalization
LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing
Semantic parsing is the task of producing a structured meaning representation for natural language utterances or questions. Recent …
Dora Jambor
,
Dzmitry Bahdanau
Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
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Systematic Generalization with Edge Transformers
Recent research suggests that systematic generalization in natural language understanding remains a challenge for state-of-the-art …
Leon Bergen
,
Timothy J. O'Donnell
,
Dzmitry Bahdanau
Conference on Neural Information Processing Systems (NeurIPS), 2021.
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Measuring Systematic Generalization in Neural Proof Generation with Transformers
We are interested in understanding how well Transformer language models (TLMs) can perform reasoning tasks when trained on knowledge …
Nicolas Gontier
,
Koustuv Sinha
,
Siva Reddy
,
Christopher Pal
Conference on Neural Information Processing Systems (NeurIPS), 2020.
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CLOSURE: Assessing Systematic Generalization of CLEVR models
The CLEVR dataset of natural-looking questions about 3D-rendered scenes has recently received much attention from the research …
Dzmitry Bahdanau
,
Harm de Vries
,
Timothy J. O'Donnell
,
Shikhar Murty
,
Philippe Beaudoin
,
Yoshua Bengio
,
Aaron Courville
Workshop at the Neural Information Processing Systems (NeurIPS), 2019.
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Systematic Generalization: What Is Required and Can It Be Learned?
Numerous models for grounded language understanding have been recently proposed, including (i) generic models that can be easily …
Dzmitry Bahdanau
,
Shikhar Murty
,
Michael Noukhovitch
,
Thien Huu Nguyen
,
Harm de Vries
,
Aaron Courville
International Conference on Learning Representations (ICLR), 2019.
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