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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 Hits 1 – 7 of 7 1 Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps ... Barkan, Oren; Hauon, Edan; Caciularu, Avi. - : arXiv, 2022 BASE Show details 2 On the Evolution of Word Order ... Rejwan, Idan; Caciularu, Avi. - : arXiv, 2021 BASE Show details 3 Denoising Word Embeddings by Averaging in a Shared Space ... Caciularu, Avi; Dagan, Ido; Goldberger, Jacob. - : arXiv, 2021 BASE Show details 4 CDLM: Cross-Document Language Modeling ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Iz; ., Matthew. - : Underline Science Inc., 2021 BASE Show details 5 Denoising Word Embeddings by Averaging in a Shared Space ... 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; Caciularu, Avi; Dagan, Ido. - : Underline Science Inc., 2021 BASE Show details 6 Bayesian Hierarchical Words Representation Learning ... Barkan, Oren; Rejwan, Idan; Caciularu, Avi. - : arXiv, 2020 BASE Show details 7 Paraphrasing vs Coreferring: Two Sides of the Same Coin ... Meged, Yehudit; Caciularu, Avi; Shwartz, Vered; Dagan, Ido. - : arXiv, 2020 Abstract: We study the potential synergy between two different NLP tasks, both confronting predicate lexical variability: identifying predicate paraphrases, and event coreference resolution. First, we used annotations from an event coreference dataset as distant supervision to re-score heuristically-extracted predicate paraphrases. The new scoring gained more than 18 points in average precision upon their ranking by the original scoring method. Then, we used the same re-ranking features as additional inputs to a state-of-the-art event coreference resolution model, which yielded modest but consistent improvements to the model's performance. The results suggest a promising direction to leverage data and models for each of the tasks to the benefit of the other. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2004.14979 https://dx.doi.org/10.48550/arxiv.2004.14979 BASE Hide details

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