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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 BASE Show 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 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.710/ Abstract: Stance detection concerns the classification of a writer's viewpoint towards a target. There are different task variants, e.g., stance of a tweet vs. a full article, or stance with respect to a claim vs. an (implicit) topic. Moreover, task definitions vary, which includes the label inventory, the data collection, and the annotation protocol. All these aspects hinder cross-domain studies, as they require changes to standard domain adaptation approaches. In this paper, we perform an in-depth analysis of 16 stance detection datasets, and we explore the possibility for cross-domain learning from them. Moreover, we propose an end-to-end unsupervised framework for out-of-domain prediction of unseen, user-defined labels. In particular, we combine domain adaptation techniques such as mixture of experts and domain-adversarial training with label embeddings, and we demonstrate sizable performance gains over strong baselines, both (i) ... Keyword: Language Models; Natural Language Processing; Semantic Evaluation; Sociolinguistics URL: https://underline.io/lecture/37388-cross-domain-label-adaptive-stance-detection https://dx.doi.org/10.48448/8bpt-v346 BASE Hide 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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