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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) BASE Show 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 Abstract: Referring expression generation (REG) presents the converse problem to visual search: given a scene and a specified target, how does one generate a description which would allow somebody else to quickly and accurately locate the target?Previous work in psycholinguistics and natural language processing has failed to find an important and integrated role for vision in this task. That previous work, which relies largely on simple scenes, tends to treat vision as a pre-process for extracting feature categories that are relevant to disambiguation. However, the visual search literature suggests that some descriptions are better than others at enabling listeners to search efficiently within complex stimuli. This paper presents a study testing whether participants are sensitive to visual features that allow them to compose such “good” descriptions. Our results show that visual properties (salience, clutter, area, and distance) influence REG for targets embedded in images from the Where's Wally? books. Referring expressions for large targets are shorter than those for smaller targets, and expressions about targets in highly cluttered scenes use more words. We also find that participants are more likely to mention non-target landmarks that are large, salient, and in close proximity to the target. These findings identify a key role for visual salience in language production decisions and highlight the importance of scene complexity for REG. Keyword: Psychology URL: https://doi.org/10.3389/fpsyg.2013.00329 http://www.ncbi.nlm.nih.gov/pubmed/23785344 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3684789 BASE Hide 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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