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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...12 Hits 1 – 20 of 225 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 Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ... 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; ., Hinrich; Hofmann, Valentin. - : Underline Science Inc., 2021 BASE Show details 4 Dynamic Contextualized Word Embeddings ... 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; ., Hinrich; Hofmann, Valentin. - : Underline Science Inc., 2021 BASE Show details 5 Measuring and Improving Consistency in Pretrained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Elazar, Yanai; Goldberg, Yoav. - : Underline Science Inc., 2021 BASE Show details 6 Static Embeddings as Efficient Knowledge Bases? ... NAACL 2021 2021; Dufter, Philipp; Kassner, Nora. - : Underline Science Inc., 2021 BASE Show details 7 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 8 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 9 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 10 Graph Algorithms for Multiparallel Word Alignment ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Hinrich; Imanigooghari, Ayyoob. - : Underline Science Inc., 2021 BASE Show details 11 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 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.556/ Abstract: Combining a pretrained language model (PLM) with textual patterns has been shown to help in both zero- and few-shot settings. For zero-shot performance, it makes sense to design patterns that closely resemble the text seen during self-supervised pretraining because the model has never seen anything else. Supervised training allows for more flexibility. If we allow for tokens outside the PLM's vocabulary, patterns can be adapted more flexibly to a PLM's idiosyncrasies. Contrasting patterns where a "token" can be any continuous vector vs. those where a discrete choice between vocabulary elements has to be made, we call our method CONtinuous pAtterNs (CONAN). We evaluate CONAN on two established benchmarks for lexical inference in context (LIiC) a.k.a. predicate entailment, a challenging natural language understanding task with relatively small training sets. In a direct comparison with discrete patterns, CONAN consistently leads to ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/yxps-pp51 https://underline.io/lecture/37504-continuous-entailment-patterns-for-lexical-inference-in-context BASE Hide details 12 A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ... 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; ., Hinrich; Korhonen, Anna. - : Underline Science Inc., 2021 BASE Show details 13 Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar; Nora Kassner; Shauli Ravfogel... In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1012-1031 (2021) (2021) BASE Show details 14 Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick; Sahana Udupa; Hinrich Schütze In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1408-1424 (2021) (2021) BASE Show details 15 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 16 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 17 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 18 BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance Schick, Timo; Schütze, Hinrich. - 2020 BASE Show details 19 Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction Fraser, Alexander; Severini, Silvia; Schütze, Hinrich. - 2020 BASE Show details 20 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 Page: 1 2 3 4 5...12

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