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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 Hits 1 – 20 of 42 1 PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains Eyal Ben-David; Nadav Oved; Roi Reichart In: Transactions of the Association for Computational Linguistics, Vol 10, Pp 414-433 (2022) (2022) BASE Show details 2 CausaLM: Causal Model Explanation Through Counterfactual Language Models ... 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; Feder, Amir; Oved, Nadav. - : Underline Science Inc., 2021 BASE Show details 3 DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lekhtman, Entony; Roi, Reichart. - : Underline Science Inc., 2021 BASE Show details 4 Model Compression for Domain Adaptation through Causal Effect Estimation Guy Rotman; Amir Feder; Roi Reichart In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 1355-1373 (2021) (2021) BASE Show details 5 Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages Edoardo M. Ponti; Ivan Vulić; Ryan Cotterell... In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 410-428 (2021) (2021) BASE Show details 6 CausaLM: Causal Model Explanation Through Counterfactual Language Models Amir Feder; Nadav Oved; Uri Shalit... In: Computational Linguistics, Vol 47, Iss 2, Pp 333-386 (2021) (2021) BASE Show details 7 Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity Ivan Vulić; Simon Baker; Edoardo Maria Ponti... In: Computational Linguistics, Vol 46, Iss 4, Pp 847-897 (2020) (2020) BASE Show details 8 Learning to map into a universal pos tagset Yuan Zhang; Roi Reichart; Regina Barzilay... In: http://people.csail.mit.edu/yuanzh/papers/emnlp2012.pdf (2012) BASE Show details 9 Neutralizing linguistically problematic annotations in unsupervised dependency parsing evaluation Roy Schwartz; Omri Abend; Roi Reichart In: http://www.cs.huji.ac.il/%7Eroys02/papers/ned_camera_ready.pdf (2011) BASE Show details 10 Unsupervised argument identification for semantic role labeling Omri Abend; Roi Reichart In: http://aclweb.org/anthology-new/P/P09/P09-1004.pdf (2009) BASE Show details 11 A supervised algorithm for verb disambiguation into VerbNet classes Omri Abend; Roi Reichart In: http://www.cs.huji.ac.il/~omria01/papers/VN.pdf (2008) BASE Show details 12 Multi-task active learning for linguistic annotations Roi Reichart; Katrin Tomanek; Udo Hahn In: http://www.cs.huji.ac.il/~roiri/papers/MTAL_camer_ready.pdf (2008) BASE Show details 13 Multi-task active learning for linguistic annotations Roi Reichart; Katrin Tomanek; Udo Hahn In: http://www.cs.huji.ac.il/~arir/mtal.pdf (2008) BASE Show details 14 An Ensemble Method for Selection of High Quality Parses Roi Reichart In: http://www.cs.huji.ac.il/~arir/sepa.pdf BASE Show details 15 An Unsupervised Model for Instance Level Subcategorization Acquisition Simon Baker; Roi Reichart; Anna Korhonen In: http://emnlp2014.org/papers/pdf/EMNLP2014034.pdf BASE Show details 16 An Unsupervised Model for Instance Level Subcategorization Acquisition Simon Baker; Roi Reichart; Anna Korhonen In: http://aclweb.org/anthology/D/D14/D14-1034.pdf BASE Show details 17 An Unsupervised Model for Instance Level Subcategorization Acquisition Simon Baker; Roi Reichart; Anna Korhonen In: http://ie.technion.ac.il/~roiri/papers/63_Paper.pdf Abstract: Most existing systems for subcategoriza-tion frame (SCF) acquisition rely on su-pervised parsing and infer SCF distribu-tions at type, rather than instance level. These systems suffer from poor portability across domains and their benefit for NLP tasks that involve sentence-level process-ing is limited. We propose a new unsuper-vised, Markov Random Field-based model for SCF acquisition which is designed to address these problems. The system relies on supervised POS tagging rather than parsing, and is capable of learning SCFs at instance level. We perform eval-uation against gold standard data which shows that our system outperforms several supervised and type-level SCF baselines. We also conduct task-based evaluation in the context of verb similarity prediction, demonstrating that a vector space model based on our SCFs substantially outper-forms a lexical model and a model based on a supervised parser 1. 1 URL: http://ie.technion.ac.il/~roiri/papers/63_Paper.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.498.4645 BASE Hide details 18 Improved Lexical Acquisition through DPP-based Verb Clustering Roi Reichart; Anna Korhonen In: http://aclweb.org/anthology/P/P13/P13-1085.pdf BASE Show details 19 Improved Information Structure Analysis of Scientific Documents Through Discourse and Lexical Constraints Yufan Guo; Roi Reichart; Anna Korhonen In: http://www.cl.cam.ac.uk/~rr439/papers/naacl-pre.pdf BASE Show details 20 You Too?! Mixed-Initiative LDA Story Matching to Help Teens in Distress Karthik Dinakar; Birago Jones; Henry Lieberman... In: http://web.media.mit.edu/~lieber/Publications/You-Too.pdf BASE Show details Page: 1 2 3

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