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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 28 1 KOAS: Korean Text Offensiveness Analysis System ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Park, SanHee. - : Underline Science Inc., 2021 BASE Show details 2 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 3 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 4 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 5 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 6 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 7 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 8 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 9 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 10 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 11 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 12 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 13 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 14 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 15 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 16 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 17 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 18 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 19 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 20 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; Michael, Julian; Pyatkin, Valentina; Roit, Paul; Tsarfaty, Reut. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.108/ Abstract: Asking questions about a situation is an inherent step towards understanding it. To this end, we introduce the task of role question generation, which, given a predicate mention and a passage, requires producing a set of questions asking about all possible semantic roles of the predicate. We develop a two-stage model for this task, which first produces a context-independent question prototype for each role and then revises it to be contextually appropriate for the passage. Unlike most existing approaches to question generation, our approach does not require conditioning on existing answers in the text. Instead, we condition on the type of information to inquire about, regardless of whether the answer appears explicitly in the text, could be inferred from it, or should be sought elsewhere. Our evaluation demonstrates that we generate diverse and well-formed questions for a large, broad-coverage ontology of predicates and roles. ... Keyword: Language Models; Natural Language Processing; Semantic Evaluation; Sociolinguistics URL: https://dx.doi.org/10.48448/endb-5y94 https://underline.io/lecture/37784-asking-it-all-generating-contextualized-questions-for-any-semantic-role BASE Hide details Page: 1 2

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