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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 21 1 UCCA's Foundational Layer: Annotation Guidelines v2.1 ... Abend, Omri; Schneider, Nathan; Dvir, Dotan. - : arXiv, 2020 BASE Show details 2 Semantic Structural Decomposition for Neural Machine Translation ... The 28th International Conference on Computational Linguistics 2020; ., Omri; Rappoport, Ari. - : Underline Science Inc., 2020 BASE Show details 3 SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA ... Hershcovich, Daniel; Aizenbud, Zohar; Choshen, Leshem. - : arXiv, 2019 BASE Show details 4 CoNLL 2018 Shared Task System Outputs Zeman, Daniel; Potthast, Martin; Duthoo, Elie. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018 BASE Show details 5 Universal Dependency Parsing with a General Transition-Based DAG Parser ... Hershcovich, Daniel; Abend, Omri; Rappoport, Ari. - : arXiv, 2018 BASE Show details 6 SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation ... Hershcovich, Daniel; Choshen, Leshem; Sulem, Elior. - : arXiv, 2018 BASE Show details 7 Computing Word Classes Using Spectral Clustering ... Levi, Effi; Herman, Saggy; Rappoport, Ari. - : arXiv, 2018 BASE Show details 8 Simple and Effective Text Simplification Using Semantic and Neural Methods ... Sulem, Elior; Abend, Omri; Rappoport, Ari. - : arXiv, 2018 BASE Show details 9 Semantic Structural Evaluation for Text Simplification ... Sulem, Elior; Abend, Omri; Rappoport, Ari. - : arXiv, 2018 BASE Show details 10 BLEU is Not Suitable for the Evaluation of Text Simplification ... Sulem, Elior; Abend, Omri; Rappoport, Ari. - : arXiv, 2018 BASE Show details 11 A Transition-Based Directed Acyclic Graph Parser for UCCA ... Hershcovich, Daniel; Abend, Omri; Rappoport, Ari. - : arXiv, 2017 BASE Show details 12 Automatic Selection of Context Configurations for Improved Class-Specific Word Representations ... Vulić, Ivan; Schwartz, Roy; Rappoport, Ari. - : Apollo - University of Cambridge Repository, 2017 BASE Show details 13 Automatic Selection of Context Configurations for Improved Class-Specific Word Representations Rappoport, Ari; Reichart, Roi; Korhonen, Anna-Leena. - : Association for Computational Linguistics, 2017. : https://arxiv.org/pdf/1608.05528.pdf, 2017. : Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017 BASE Show details 14 Automatic Selection of Context Configurations for Improved Class-Specific Word Representations ... Vulić, Ivan; Schwartz, Roy; Rappoport, Ari. - : arXiv, 2016 BASE Show details 15 Don’t Let Me Be #Misunderstood: Linguistically Motivated Algorithm for Predicting the Popularity of Textual Memes Tsur, Oren; Rappoport, Ari In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2015) Abstract: Prediction of the popularity of online textual snippets gained much attention in recent years. In this paper we investigate some of the factors that contribute to popularity of specific phrases such as Twitter hashtags. We define a new prediction task and propose a linguistically motivated algorithm for accurate prediction of hashtag popularity. Our prediction algorithm successfully models the interplay between various constraints such as the length restriction, typing effort and ease of comprehension. Controlling for network structure and social aspects we get a glimpse into the processes that shape the way we produce language and coin new words. In order to learn the interactions between the constraints we cast the problem as a ranking task. We adapt Gradient Boosted Trees for learning ranking functions in order to predict the hashtags/neologisms to be accepted. Our results outperform several baseline algorithms including SVM-rank, while maintaining higher interpretability, thus our model's prediction power can be used for better crafting of future hashtags. Keyword: cognitive; constraints; domain; gradient boosted trees; hashtags; memes; ranking; twitter URL: https://ojs.aaai.org/index.php/ICWSM/article/view/14603 BASE Hide details 16 Extraction and approximation of numerical attributes from the Web Davidov, Dmitry; Rappoport, Ari In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 2, 1308-1317 BLLDB Show details 17 Improved unsupervised POS induction through prototype discovery Abend, Omri; Reichart, Roi; Rappoport, Ari In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 2, 1298-1307 BLLDB Show details 18 Bilingual lexicon generation using non-aligned signatures Shezaf, Daphna; Rappoport, Ari In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 98-107 BLLDB Show details 19 Fully unsupervised core-adjunct argument classification Abend, Omri; Rappoport, Ari In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 226-236 BLLDB Show details 20 Translation and extension of concepts across languages Davidov, Dmitry; Rappoport, Ari In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 175-183 BLLDB Show details Page: 1 2

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