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Anchoring and Agreement in Syntactic Annotations
(Center for Brains, Minds and Machines (CBMM), arXiv, 2016-09-21)
Published in the Proceedings of EMNLP 2016
We present a study on two key characteristics of human syntactic annotations: anchoring and agreement. Anchoring is a well-known cognitive bias in human decision making, where ...
Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL
(Center for Brains, Minds and Machines (CBMM), arXiv, 2016-06-05)
This work examines the impact of crosslinguistic transfer on grammatical errors in English as Second Language (ESL) texts. Using a computational framework that formalizes the theory of Contrastive Analysis (CA), we demonstrate ...
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities
(Center for Brains, Minds and Machines (CBMM), arXiv, 2016-06-10)
Understanding language goes hand in hand with the ability to integrate complex contextual information obtained via perception. In this work, we present a novel task for grounded language understanding: disambiguating a ...
Universal Dependencies for Learner English
(Center for Brains, Minds and Machines (CBMM), arXiv, 2016-08-01)
We introduce the Treebank of Learner English (TLE), the first publicly available syntactic treebank for English as a Second Language (ESL). The TLE provides manually annotated POS tags and Universal Dependency (UD) trees ...