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Hits 1 – 7 of 7
1
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Bansal, Mohit
;
Guo, Han
. - : Underline Science Inc., 2021
BASE
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2
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Bansal, Mohit
;
Bauer, Lisa
. - : Underline Science Inc., 2021
BASE
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3
Inducing Transformer’s Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Bansal, Mohit
;
Jiang, Yichen
. - : Underline Science Inc., 2021
Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.505/ Abstract: Systematic compositionality is an essential mechanism in human language, allowing the recombination of known parts to create novel expressions. However, existing neural models have been shown to lack this basic ability in learning symbolic structures. Motivated by the failure of a Transformer model on the SCAN compositionality challenge (Lake and Baroni, 2018), which requires parsing a command into actions, we propose two auxiliary sequence prediction tasks that track the progress of function and argument semantics, as additional training supervision. These automatically-generated sequences are more representative of the underlying compositional symbolic structures of the input data. During inference, the model jointly predicts the next action and the next tokens in the auxiliary sequences at each step. Experiments on the SCAN dataset show that our method encourages the Transformer to understand compositional structures of the ...
Keyword:
Computational Linguistics
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://dx.doi.org/10.48448/nhhj-ed29
https://underline.io/lecture/37845-inducing-transformers-compositional-generalization-ability-via-auxiliary-sequence-prediction-tasks
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4
Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Bansal, Mohit
;
Maharana, Adyasha
. - : Underline Science Inc., 2021
BASE
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5
Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Ramakanth
;
Bansal, Mohit
. - : Underline Science Inc., 2021
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6
Continual Few-Shot Learning for Text Classification ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Ramakanth
;
Bansal, Mohit
. - : Underline Science Inc., 2021
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7
Finding a Balanced Degree of Automation for Summary Evaluation ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Bansal, Mohit
;
Zhang, Shiyue
. - : Underline Science Inc., 2021
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