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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 Hits 1 – 20 of 73 1 Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization ... Karn, Sanjeev Kumar; Liu, Ning; Schuetze, Hinrich. - : arXiv, 2022 BASE Show details 2 Graph Algorithms for Multiparallel Word Alignment Imani, Ayyoob; Sabet, Masoud,; Keremşenel, Lütfi... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ; The 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03424044 ; The 2021 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Nov 2021, Punta Cana, Dominica ; https://2021.emnlp.org/ (2021) BASE Show details 3 Measuring and Improving Consistency in Pretrained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Elazar, Yanai; Goldberg, Yoav; Hovy, Eduard; Kassner, Nora; Ravfogel, Shauli; Ravichander, Abhilasha; Schütze, Hinrich. - : Underline Science Inc., 2021 Abstract: Consistency of a model — that is, the invariance of its behavior under meaning preserving alternations in its input — is a highly desirable property in natural language processing. In this paper we study the question: Are Pretrained Language Models (PLMs) consistent with respect to factual knowledge? To this end, we create PARAREL , a high-quality resource of cloze-style query English paraphrases. It contains a total of 328 paraphrases for 38 relations. Using PARAREL , we show that the consistency of all PLMs we experiment with is poor – though with high variance between relations. Our analysis of the representational spaces of PLMs suggests that they have a poor structure and are currently not suitable for representing knowledge robustly. Finally, we propose a method for improving model consistency and experimentally demonstrate its effectiveness. ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://underline.io/lecture/38196-measuring-and-improving-consistency-in-pretrained-language-models https://dx.doi.org/10.48448/rb2w-8959 BASE Hide details 4 Static Embeddings as Efficient Knowledge Bases? ... NAACL 2021 2021; Dufter, Philipp; Kassner, Nora. - : Underline Science Inc., 2021 BASE Show details 5 BUSINESS MEETING ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bender, Emily M.; Callison-Burch, Chris. - : Underline Science Inc., 2021 BASE Show details 6 ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Cysouw, Michael; Dufter, Philipp. - : Underline Science Inc., 2021 BASE Show details 7 Discrete and Soft Prompting for Multilingual Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Schütze, Hinrich; Zhao, Mengjie. - : Underline Science Inc., 2021 BASE Show details 8 Continuous Entailment Patterns for Lexical Inference in Context ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Schmitt, Martin; Schütze, Hinrich. - : Underline Science Inc., 2021 BASE Show details 9 SimAlign: High Quality Word Alignments Without Parallel Training Data Using Static and Contextualized Embeddings Jalili Sabet, Masoud; Dufter, Philipp; Yvon, François... In: EMNLP 2020 ; https://hal.archives-ouvertes.fr/hal-03013194 ; EMNLP 2020, Association for Computational Linguistics, Nov 2020, Online, United States. pp.1627 - 1643 (2020) BASE Show details 10 Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction ... Severini, Silvia; Hangya, Viktor; Fraser, Alexander. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2020 BASE Show details 11 Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly Schütze, Hinrich; Kassner, Nora. - : Ludwig-Maximilians-Universität München, 2020 BASE Show details 12 BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance Schick, Timo; Schütze, Hinrich. - 2020 BASE Show details 13 Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction Fraser, Alexander; Severini, Silvia; Schütze, Hinrich. - 2020 BASE Show details 14 Predicting the Growth of Morphological Families from Social and Linguistic Factors Hofmann, Valentin; Schütze, Hinrich; Pierrehumbert, Janet. - : Ludwig-Maximilians-Universität München, 2020 BASE Show details 15 Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification Schmid, Helmut; Schick, Timo; Schütze, Hinrich. - 2020 BASE Show details 16 A Graph Auto-encoder Model of Derivational Morphology Schütze, Hinrich; Pierrehumbert, Janet; Hofmann, Valentin. - : Ludwig-Maximilians-Universität München, 2020 BASE Show details 17 Relational and Fine-Grained Argument Mining Trautmann, Dietrich; Fromm, Michael; Tresp, Volker... In: Datenbank-Spektrum (2020) BASE Show details 18 Identifying Elements Essential for BERT’s Multilinguality Schütze, Hinrich; Dufter, Philipp. - 2020 BASE Show details 19 SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings Sabet, Masoud Jalili; Dufter, Philipp; Schütze, Hinrich In: Findings of ACL: EMNLP 2020 (2020) BASE Show details 20 Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations Liang, Sheng; Dufter, Philipp; Schütze, Hinrich. - 2020 BASE Show details Page: 1 2 3 4

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