This year’s Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies will be held in New Orleans, Louisianna. CLSP is proud to participate in the premiere Natural Language Processing (NLP) conference in North America.

CLSP students, postdocs, and faculty have an amazing 13 papers at this year’s main conference. We look forward to presenting our work this summer and seeing you in New Orleans!

SCENE GRAPH PARSING AS DEPENDENCY PARSING- Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng and Alan Yuille

COLORLESS GREEN RECURRENT NETWORKS DREAM HIERARCHICALLY- Kristina Gulordava, Marco Baroni, Tal Linzen, Piotr Bojanowski and Edouard Grave

NEURAL PARTICLE SMOOTHING FOR SAMPLING FROM CONDITIONAL SEQUENCE MODELS- Chu-Cheng Lin and Jason Eisner

NEURAL MODELS OF FACTUALITY- Rachel Rudinger, Aaron Steven White, and Benjamin Van Durme

ON THE DIACHRONIC STABILITY OF IRREGULARITY IN INFLECTIONAL MORPHOLOGY- Ryan Cotterell, Christo Kirov, Mans Hulden and Jason Eisner

A DEEP GENERATIVE MODEL OF VOWEL FORMANT TYPOLOGY- Ryan Cotterell and Jason Eisner

ARE ALL LANGUAGES EQUALLY HARD TO LANGUAGE-MODEL?- Ryan Cotterell, Sebastian J. Mielke, Jason Eisner and Brian Roark

UNSUPERVISED DISAMBIGUATION OF SYNCRETISM IN INFLECTED LEXICONS- Ryan Cotterell, Christo Kirov, Sebastian J. Mielke and Jason Eisner

DEEP DIRICHLET MULTINOMIAL REGRESSION- Adrian Benton and Mark Dredze

EVALUATING FINE-GRAINED SEMANTIC PHENOMENA IN NEURAL MACHINE TRANSLATION ENCODERS USING ENTAILMENT- Adam Poliak, Yonatan Belinkov, James Glass and Benjamin Van Durme

GENDER BIAS IN COREFERENCE RESOLUTION- Rachel Rudinger, Jason Naradowsky, Brian Leonard and Benjamin Van Durme

TENSOR PRODUCT GENERATION NETWORKS FOR DEEP NLP MODELING- Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng and Dapeng Wu

FAST LEXICALLY CONSTRAINED DECODING WITH DYNAMIC BEAM ALLOCATION FOR NEURAL MACHINE TRANSLATION- Matt Post and David Vilar