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Nathan Schneider
Researcher at Georgetown University
Publications - 131
Citations - 5825
Nathan Schneider is an academic researcher from Georgetown University. The author has contributed to research in topics: Parsing & Annotation. The author has an hindex of 25, co-authored 130 publications receiving 5138 citations. Previous affiliations of Nathan Schneider include University of Washington & Carnegie Mellon University.
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Proceedings Article
Identifying the L1 of non-native writers: the CMU-Haifa system
Yulia Tsvetkov,Naama Twitto,Nathan Schneider,Noam Ordan,Manaal Faruqui,Victor Chahuneau,Shuly Wintner,Chris Dyer +7 more
TL;DR: It is shown that it is possible to learn to identify, with high accuracy, the native language of English test takers from the content of the essays they write, using standard text classification techniques based on multiclass logistic regression.
Posted Content
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks
TL;DR: This article performed an extrinsic evaluation of word embeddings in the context of four sequence labeling tasks: POS tagging, syntactic chunking, NER and MWE identification.
Proceedings Article
Inconsistency Detection in Semantic Annotation
TL;DR: Two ranking methods are presented in this work: a discrepancy ranking and an entropy ranking that show considerable improvements in detecting inconsistency candidates over a random baseline.
Proceedings ArticleDOI
Discourse Coherence: Concurrent Explicit and Implicit Relations
TL;DR: Test how multiple discourse relations can be simultaneously operative between two segments for reasons not predicted by the literature and how this joint presence can lead participants to endorse seemingly divergent conjunctions to express the link they see between two segment.
Proceedings Article
A Framework for (Under)specifying Dependency Syntax without Overloading Annotators
Nathan Schneider,Brendan O'Connor,Naomi Saphra,David Bamman,Manaal Faruqui,Noah A. Smith,Chris Dyer,Jason Baldridge +7 more
TL;DR: In this article, the authors introduce a framework for lightweight dependency syntax annotation, which encourages annotators to underspecify parts of the syntax if doing so would streamline the annotation process.