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The Society for Computation in Linguistics (SCiL) is devoted to facilitating and promoting research on computational and mathematical approaches in Linguistics. SCiL aims to provide a central forum for exchange of ideas and dissemination of original research results on computational approaches in any area of linguistics. In addition to providing a forum for researchers already working in these areas, SCiL hosts regular meetings (the first of which will be co-located with LSA 2018 in Salt Lake City, Utah) that feature high-quality research presentations and peer-reviewed proceedings. Please visit http://blogs.umass.edu/scil/scil-2018/ for more information on the conference and submission instructions.

Current Volume: Volume 2 (2019)

Papers

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Preface: SCiL 2019 Editors’ Note
Gaja Jarosz, Max Nelson, Brendan O'Connor, and Joe Pater

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Modeling Clausal Complementation for a Grammar Engineering Resource
Olga Zamaraeva, Kristen Howell, and Emily M. Bender

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An Incremental Iterated Response Model of Pragmatics
Reuben Cohn-Gordon, Noah Goodman, and Christopher Potts

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Learning Exceptionality and Variation with Lexically Scaled MaxEnt
Coral Hughto, Andrew Lamont, Brandon Prickett, and Gaja Jarosz

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On the difficulty of a distributional semantics of spoken language
Grzegorz Chrupała, Lieke Gelderloos, Ákos Kádár, and Afra Alishahi

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Distributional Effects of Gender Contrasts Across Categories
Timothee Mickus, Olivier Bonami, and Denis Paperno

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Modeling the Acquisition of Words with Multiple Meanings
Libby Barak, Sammy Floyd, and Adele Goldberg

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Abstract Meaning Representation for Human-Robot Dialogue
Claire N. Bonial, Lucia Donatelli, Jessica Ervin, and Clare R. Voss

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Case assignment in TSL syntax: a case study
Mai Ha Vu, Nazila Shafiei, and Thomas Graf

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On Evaluating the Generalization of LSTM Models in Formal Languages
Mirac Suzgun, Yonatan Belinkov, and Stuart M. Shieber

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Verb Argument Structure Alternations in Word and Sentence Embeddings
Katharina Kann, Alex Warstadt, Adina Williams, and Samuel R. Bowman

Extended Abstracts

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Temporally-oriented possession: A corpus for tracking possession over time
Dhivya I. Chinnappa, Alexis Palmer, and Eduardo Blanco

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What Do Neural Networks Actually Learn, When They Learn to Identify Idioms?
Marco Silvio Giuseppe Senaldi, Yuri Bizzoni, and Alessandro Lenci

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RNN Classification of English Vowels: Nasalized or Not
Ling Liu, Mans Hulden, and Rebecca Scarborough

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Developing a real-time translator from neural signals to text: An articulatory phonetics approach
Lindy Comstock, Ariel Tankus, Michelle Tran, Nader Pouratian, Itzhak Fried, and William Speier

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Local Processes of Homophone Acquisition
Deniz Beser and Spencer Caplan

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Adpositional Supersenses for Mandarin Chinese
Yilun Zhu, Yang Liu, Siyao Peng, Austin Blodgett, Yushi Zhao, and Nathan Schneider

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Tense and Aspect Semantics for Sentential AMR
Lucia Donatelli, Nathan Schneider, William Croft, and Michael Regan

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Simultaneous learning of vowel harmony and segmentation
Ezer Rasin, Nur Lan, and Roni Katzir

Abstracts

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Are All Languages Equally Hard to Language-Model?
Ryan Cotterell, Sebastian J. Mielke, Jason Eisner, and Brian Roark

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Colorless green recurrent networks dream hierarchically
Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, and Marco Baroni

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Rethinking Phonotactic Complexity
Tiago Pimentel, Brian Roark, and Ryan Cotterell

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The computational cost of generalizations: An example from micromorphology
Sedigheh Moradi, Alëna Aksënova, and Thomas Graf

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Normalization may be ineffective for phonetic category learning
Kasia Hitczenko, Reiko Mazuka, Micha Elsner, and Naomi H. Feldman

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Transient blend states and discrete agreement-driven errors in sentence production
Matthew Goldrick, Laurel Brehm, Pyeong Whan Cho, and Paul Smolensky

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Learning phonotactic restrictions on multiple tiers
Kevin McMullin, Alëna Aksënova, and Aniello De Santo

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How the Structure of the Constraint Space Enables Learning
Jane Chandlee, Remi Eyraud, Jeffrey Heinz, Adam Jardine, and Jonathan Rawski