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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 – 18 of 18 1 What transfers in morphological inflection? Experiments with analogical 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; Elsner, Micha. - : Underline Science Inc., 2021 BASE Show details 2 Quantifying Paradigm Shape in Spanish Verbs LeFevre, Grace. - : The Ohio State University, 2021 BASE Show details 3 Formalizing Inflectional Paradigm Shape with Information Theory LeFevre, Grace; Elsner, Micha; Sims, Andrea D In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 4 When context is and isn’t helpful: A corpus study of naturalistic speech [<Journal>] Hitczenko, Kasia [Verfasser]; Mazuka, Reiko [Verfasser]; Elsner, Micha [Verfasser]. DNB Subject Category Language Show details 5 The Paradigm Discovery Problem ... Erdmann, Alexander; Elsner, Micha; Wu, Shijie. - : ETH Zurich, 2020 BASE Show details 6 The Paradigm Discovery Problem Wu, Shijie; Habash, Nizar; Elsner, Micha... In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020) BASE Show details 7 Interpreting Sequence-to-Sequence Models for Russian Inflectional Morphology King, David L; Sims, Andrea D; Elsner, Micha In: Proceedings of the Society for Computation in Linguistics (2020) Abstract: Morphological inflection, as an engineering task in NLP, has seen a rise in the use of neural sequence-to-sequence models (Kann et al. 2016, Cotterell et al. 2018, Aharoni et al. 2017). While these outperform traditional systems based on edit rule induction, it is hard to interpret what they are learning in linguistic terms. We propose a new method of analyzing morphological sequence-to-sequence models which groups errors into linguistically meaningful classes, making what the model learns more transparent. As a case study, we analyze a seq2seq model on Russian, finding that semantic and lexically conditioned allomorphy (e.g. inanimate nouns like zavod `factory' and animates like otec `father' have different, animacy-conditioned accusative forms) are responsible for its relatively low accuracy. Augmenting the model with word embeddings as a proxy for lexical semantics leads to significant improvements in predicted wordform accuracy. Keyword: Computational Linguistics; error analysis; interpretability; morphology; sequence-to-sequence URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1156&context=scil https://scholarworks.umass.edu/scil/vol3/iss1/39 BASE Hide details 8 Stop the Morphological Cycle, I Want to Get Off: Modeling the Development of Fusion Elsner, Micha; Johnson, Martha B.; Antetomaso, Stephanie... In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 9 Normalization may be ineffective for phonetic category learning ... Hitczenko, Kasia; Mazuka, Reiko; Elsner, Micha. - : University of Massachusetts Amherst, 2019 BASE Show details 10 Normalization may be ineffective for phonetic category learning Hitczenko, Kasia; Mazuka, Reiko; Elsner, Micha... In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details 11 Lexical Networks in !Xung and Ju Hussain, Syed-Amad. - : The Ohio State University, 2018 BASE Show details 12 Proceedings of the 41th Annual Boston University Conference on Language Development [held November 4-6, 2016, in Boston] 1. 1 Antetomaso, Stephanie; Miyazawa, Kouki; Feldman, Naomi... In: 1 (2017), S. 32-45 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 13 Giving Good Directions: Order of Mention Reflects Visual Salience Clarke, Alasdair D. F.; Elsner, Micha; Rohde, Hannah. - : Frontiers Media S.A., 2015 BASE Show details 14 Giving Good Directions: Order of Mention Reflects Visual Salience Clarke, Alasdair DF; Elsner, Micha; Rohde, Hannah. - : Frontiers Media, 2015 BASE Show details 15 POS induction with distributional and morphological information using a distance-dependent Chinese Restaurant Process Sirts, Kairit; Eisenstein, Jacob; Elsner, Micha. - : Stroudsburg, PA : Association for Computational Linguistics, 2014 BASE Show details 16 Where's Wally: the influence of visual salience on referring expression generation Clarke, Alasdair D. F.; Elsner, Micha; Rohde, Hannah. - : Frontiers Media S.A., 2013 BASE Show details 17 EM works for pronoun anaphora resolution Charniak, Eugene; Elsner, Micha In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 148-156 BLLDB Show details 18 Structured generative models for unsupervised named-entity clustering Elsner, Micha; Charniak, Eugene; Johnson, Mark. - : East Stroudsburg, PA : Association for Computational Linguistics, 2009 BASE Show details

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