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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
BASE
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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
Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.543/ Abstract: While much research has been done in text-to-image synthesis, little work has been done to explore the usage of linguistic structure of the input text. Such information is even more important for story visualization since its inputs have an explicit narrative structure that needs to be translated into an image sequence (or visual story). Prior work in this domain has shown that there is ample room for improvement in the generated image sequence in terms of visual quality, consistency and relevance. In this paper, we first explore the use of constituency parse trees using a Transformer-based recurrent architecture for encoding structured input. Second, we augment the structured input with commonsense information and study the impact of this external knowledge on the generation of visual story. Third, we also incorporate visual structure via bounding boxes and dense captioning to provide feedback about the characters/objects in ...
Keyword:
Computational Linguistics
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://dx.doi.org/10.48448/jkrx-w176
https://underline.io/lecture/37954-integrating-visuospatial,-linguistic,-and-commonsense-structure-into-story-visualization
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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
BASE
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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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