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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 Hits 1 – 20 of 90 1 ANLIzing the Adversarial Natural Language Inference Dataset Williams, Adina; Thrush, Tristan; Kiela, Douwe In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 2 Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Park, Joonsuk; Sathe, Aalok. - : Underline Science Inc., 2021 BASE Show details 3 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 Show details 4 Open Aspect Target Sentiment Classification with Natural Language Prompts ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Birle, Ian; Chang, Haw-Shiuan. - : Underline Science Inc., 2021 BASE Show details 5 Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Schuff, Hendrik. - : Underline Science Inc., 2021 BASE Show details 6 ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; D. Manning, Christopher; Koreeda, Yuta. - : Underline Science Inc., 2021 BASE Show details 7 IndoNLI: A Natural Language Inference Dataset for Indonesian ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Aji, Alham Fikri; Louvan, Samuel. - : Underline Science Inc., 2021 BASE Show details 8 Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Tan, Chenhao; Zhou, Yangqiaoyu. - : Underline Science Inc., 2021 BASE Show details 9 Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Amirkhani, Hossein; Pilehvar, Mohammad Taher. - : Underline Science Inc., 2021 BASE Show details 10 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 BASE Show details 11 Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021. - : Underline Science Inc., 2021 BASE Show details 12 Scheduled Sampling Based on Decoding Steps for Neural Machine Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Liu, Yijin. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.264/ Abstract: Scheduled sampling is widely used to mitigate the exposure bias problem for neural machine translation. Its core motivation is to simulate the inference scene during training by replacing ground-truth tokens with predicted tokens, thus bridging the gap between training and inference. However, vanilla scheduled sampling is merely based on training steps and equally treats all decoding steps. Namely, it simulates an inference scene with uniform error rates, which disobeys the real inference scene, where larger decoding steps usually have higher error rates due to error accumulations. To alleviate the above discrepancy, we propose scheduled sampling methods based on decoding steps, increasing the selection chance of predicted tokens with the growth of decoding steps. Consequently, we can more realistically simulate the inference scene during training, thus better bridging the gap between training and inference. Moreover, we ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Inference; Natural Language Processing URL: https://dx.doi.org/10.48448/924y-b333 https://underline.io/lecture/37571-scheduled-sampling-based-on-decoding-steps-for-neural-machine-translation BASE Hide details 13 Pairwise Supervised Contrastive Learning of Sentence Representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zhang, Dejiao. - : Underline Science Inc., 2021 BASE Show details 14 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 BASE Show details 15 A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; de Lhoneux, Miryam; Hartmann, Mareike. - : Underline Science Inc., 2021 BASE Show details 16 Universal Sentence Representation Learning with Conditional Masked Language Model ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cer, Daniel; Darve, Eric. - : Underline Science Inc., 2021 BASE Show details 17 BARThez: a Skilled Pretrained French Sequence-to-Sequence Model ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Kamal Eddine, Moussa; Tixier, Antoine. - : Underline Science Inc., 2021 BASE Show details 18 Nearest Neighbour Few-Shot Learning for Cross-lingual Classification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bari, M Saiful; Haidar, Batool. - : Underline Science Inc., 2021 BASE Show details 19 Subword Mapping and Anchoring across Languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021. - : Underline Science Inc., 2021 BASE Show details 20 Hy-NLI : a Hybrid system for state-of-the-art Natural Language Inference Kalouli, Aikaterini-Lida. - 2021 BASE Show details Page: 1 2 3 4 5

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