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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...15 Hits 1 – 20 of 281 1 Automatic Error Type Annotation for Arabic ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Belkebir, Riadh; Habash, Nizar. - : Underline Science Inc., 2021 BASE Show details 2 Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Yuanzhi; Hasan, Mohammad. - : Underline Science Inc., 2021 BASE Show details 3 HittER: Hierarchical Transformers for Knowledge Graph Embeddings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Sanxing; Gao, Jianfeng. - : Underline Science Inc., 2021 BASE Show details 4 Detecting Gender Bias using Explainability ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Krithika; Gupta, Gauri. - : Underline Science Inc., 2021 BASE Show details 5 HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; He, Lifang; LIU, YE. - : Underline Science Inc., 2021 BASE Show details 6 Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ong, Desmond; Suresh, Varsha. - : Underline Science Inc., 2021 BASE Show details 7 Contrastive Code Representation Learning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jain, Ajay; Jain, Paras. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.482/ Abstract: Recent work learns contextual representations of source code by reconstructing tokens from their context. For downstream semantic understanding tasks like code clone detection, these representations should ideally capture program functionality. However, we show that the popular reconstruction-based RoBERTa model is sensitive to source code edits, even when the edits preserve semantics. We propose ContraCode: a contrastive pre-training task that learns code functionality, not form. ContraCode pre-trains a neural network to identify functionally similar variants of a program among many non-equivalent distractors. We scalably generate these variants using an automated source-to-source compiler as a form of data augmentation. Contrastive pre-training outperforms RoBERTa on an adversarial code clone detection benchmark by 39% AUROC. Surprisingly, improved adversarial robustness translates to better accuracy over natural code; ContraCode ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/ypyw-wq29 https://underline.io/lecture/37746-contrastive-code-representation-learning BASE Hide details 8 Unsupervised Multi-View Post-OCR Error Correction With Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Brenner, Eliot; Broscheit, Samuel. - : Underline Science Inc., 2021 BASE Show details 9 AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ding, Haoran; Luo, Xiao. - : Underline Science Inc., 2021 BASE Show details 10 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 11 Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Kumbale, Sinchana; Singh, Smriti. - : Underline Science Inc., 2021 BASE Show details 12 Semantic Categorization of Social Knowledge for Commonsense Question Answering ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Wang, Gengyu. - : Underline Science Inc., 2021 BASE Show details 13 Pre-train or Annotate? Domain Adaptation with a Constrained Budget ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bai, Fan; Ritter, Alan. - : Underline Science Inc., 2021 BASE Show details 14 Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choenni, Rochelle; Shutova, Ekaterina. - : Underline Science Inc., 2021 BASE Show details 15 CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cao, Shuyang; Wang, Lu. - : Underline Science Inc., 2021 BASE Show details 16 Automatic Text Evaluation through the Lens of Wasserstein Barycenters ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Clavel, Chloe; Colombo, Pierre. - : Underline Science Inc., 2021 BASE Show details 17 Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Funkquist, Martin. - : Underline Science Inc., 2021 BASE Show details 18 Meta Distant Transfer Learning for Pre-trained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Wang, Chengyu. - : Underline Science Inc., 2021 BASE Show details 19 How to Train BERT with an Academic Budget ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Berchansky, Moshe; Izsak, Peter. - : Underline Science Inc., 2021 BASE Show details 20 Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5...15

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