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1
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning ...
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2
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging ...
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3
Open Aspect Target Sentiment Classification with Natural Language Prompts ...
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4
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings ...
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5
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts ...
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6
IndoNLI: A Natural Language Inference Dataset for Indonesian ...
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7
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI ...
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8
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques ...
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9
Continual Few-Shot Learning for Text Classification ...
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10
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics ...
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11
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation ...
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12
Pairwise Supervised Contrastive Learning of Sentence Representations ...
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13
Finding a Balanced Degree of Automation for Summary Evaluation ...
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14
A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs ...
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15
Universal Sentence Representation Learning with Conditional Masked Language Model ...
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16
BARThez: a Skilled Pretrained French Sequence-to-Sequence Model ...
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17
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification ...
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18
Subword Mapping and Anchoring across Languages ...
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