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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 Hits 1 – 20 of 27 1 Minimal Supervision for Morphological Inflection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Goldman, Omer; Tsarfaty, Reut. - : Underline Science Inc., 2021 BASE Show details 2 Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Goldberg, Yoav; Merrill, William. - : Underline Science Inc., 2021 BASE Show details 3 Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Carreira-Perpinan, Miguel; Gabidolla, Magzhan. - : Underline Science Inc., 2021 BASE Show details 4 Multivalent Entailment Graphs for Question Answering ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; McKenna, Nick. - : Underline Science Inc., 2021 BASE Show details 5 GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Derek; Yu, Zhou. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.35/ Abstract: Practical dialogue systems require robust methods of detecting out-of-scope (OOS) utterances to avoid conversational breakdowns and related failure modes. Directly training a model with labeled OOS examples yields reasonable performance, but obtaining such data is a resource-intensive process. To tackle this limited-data problem, previous methods focus on better modeling the distribution of in-scope (INS) examples. We introduce GOLD as an orthogonal technique that augments existing data to train better OOS detectors operating in low-data regimes. GOLD generates pseudo-labeled candidates using samples from an auxiliary dataset and keeps only the most beneficial candidates for training through a novel filtering mechanism. In experiments across three target benchmarks, the top GOLD model outperforms all existing methods on all key metrics: AUROC, AUPR, FPR@N. We also analyze the unique properties of OOS data to identify key factors for ... Keyword: Language Models; Natural Language Processing; Semantic Evaluation; Sociolinguistics URL: https://dx.doi.org/10.48448/00ff-w640 https://underline.io/lecture/37387-gold-improving-out-of-scope-detection-in-dialogues-using-data-augmentation BASE Hide details 6 RuleBERT: Teaching Soft Rules to Pre-Trained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ahmadi, Naser; Nakov, Preslav. - : Underline Science Inc., 2021 BASE Show details 7 Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chakrabarty, Tuhin; Muresan, Smaranda. - : Underline Science Inc., 2021 BASE Show details 8 On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jansen, Peter; Moreno, Dan. - : Underline Science Inc., 2021 BASE Show details 9 Is Everything in Order? A Simple Way to Order Sentences ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Basu Roy Chowdhury, Somnath; Brahman, Faeze. - : Underline Science Inc., 2021 BASE Show details 10 Cross-Domain Label-Adaptive Stance Detection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hardalov, Momchil. - : Underline Science Inc., 2021 BASE Show details 11 Enhanced Language Representation with Label Knowledge for Span Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Liu, Xingwu; Sun, Zhenyu. - : Underline Science Inc., 2021 BASE Show details 12 The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Csordás, Róbert; Irie, Kazuki. - : Underline Science Inc., 2021 BASE Show details 13 VeeAlign: Multifaceted Context Representation Using Dual Attention for Ontology Alignment ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Agarwal, Arvind; Iyer, Vivek. - : Underline Science Inc., 2021 BASE Show details 14 Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Branco, Ruben; Branco, António. - : Underline Science Inc., 2021 BASE Show details 15 On Classifying whether Two Texts are on the Same Side of an Argument ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hakimi, Ahmad Dawar; Heyer, Gerhard. - : Underline Science Inc., 2021 BASE Show details 16 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Tejas; Jin, Zhijing. - : Underline Science Inc., 2021 BASE Show details 17 MTAdam: Automatic Balancing of Multiple Training Loss Terms ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Malkiel, Itzik; wolf, lior. - : Underline Science Inc., 2021 BASE Show details 18 Types of Out-of-Distribution Texts and How to Detect Them ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Arora, Udit; He, He. - : Underline Science Inc., 2021 BASE Show details 19 Asking It All: Generating Contextualized Questions for any Semantic Role ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Dagan, Ido; Goldberg, Yoav. - : Underline Science Inc., 2021 BASE Show details 20 Competency Problems: On Finding and Removing Artifacts in Language Data ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Dodge, Jesse; Gardner, Matt. - : Underline Science Inc., 2021 BASE Show details Page: 1 2

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