Abstract Meaning Representation for Sembanking
- Laura Banarescu, Claire Bonial, Nathan Schneider
- Computer ScienceLAW@ACL
- 1 August 2013
A sembank of simple, whole-sentence semantic structures will spur new work in statistical natural language understanding and generation, like the Penn Treebank encouraged work on statistical parsing.
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
- Kevin Gimpel, Nathan Schneider, Noah A. Smith
- Computer ScienceAnnual Meeting of the Association for…
- 1 January 2010
A tagset is developed, data is annotated, features are developed, and results nearing 90% accuracy are reported on the problem of part-of-speech tagging for English data from the popular micro-blogging service Twitter.
Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters
- Olutobi Owoputi, Brendan T. O'Connor, Chris Dyer, Kevin Gimpel, Nathan Schneider, Noah A. Smith
- Computer ScienceNorth American Chapter of the Association for…
- 1 June 2013
This work systematically evaluates the use of large-scale unsupervised word clustering and new lexical features to improve tagging accuracy on Twitter and achieves state-of-the-art tagging results on both Twitter and IRC POS tagging tasks.
Frame-Semantic Parsing
- Dipanjan Das, Desai Chen, André F. T. Martins, Nathan Schneider, Noah A. Smith
- Computer ScienceInternational Conference on Computational Logic
- 1 March 2014
A two-stage statistical model that takes lexical targets in their sentential contexts and predicts frame-semantic structures and results in qualitatively better structures than naïve local predictors, which outperforms the prior state of the art by significant margins.
Association for Computational Linguistics: Human Language Technologies
- H. Chinaei, M. Dreyer, Frank Yang
- Linguistics
- 2011
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics
- Kevin Gimpel, Nathan Schneider, Noah A. Smith
- Mathematics
- 2011
A Dependency Parser for Tweets
- Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, Noah A. Smith
- Computer ScienceConference on Empirical Methods in Natural…
- 1 October 2014
A new dependency parser for English tweets, TWEEBOPARSER, which builds on several contributions: new syntactic annotations for a corpus of tweets, with conventions informed by the domain; adaptations to a statistical parsing algorithm; and a new approach to exploiting out-of-domain Penn Treebank data.
SEMAFOR: Frame Argument Resolution with Log-Linear Models
- Desai Chen, Nathan Schneider, Dipanjan Das, Noah A. Smith
- Computer ScienceInternational Workshop on Semantic Evaluation
- 15 July 2010
The SEMAFOR system's performance in the SemEval 2010 task on linking events and their participants in discourse is described, showing it fares the best of the submitted systems with respect to recall and F1.
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut
- Nathan Schneider, Emily Danchik, Chris Dyer, Noah A. Smith
- Computer ScienceInternational Conference on Topology, Algebra and…
- 30 April 2014
A novel representation, evaluation measure, and supervised models are presented for the task of identifying the multiword expressions (MWEs) in a sentence, resulting in a lexical semantic segmentation, enabling efficient sequence tagging algorithms for feature-rich discriminative models.
Probabilistic Frame-Semantic Parsing
- Dipanjan Das, Nathan Schneider, Desai Chen, Noah A. Smith
- Computer ScienceNorth American Chapter of the Association for…
- 2 June 2010
An implemented parser that transforms an English sentence into a frame-semantic representation and uses two feature-based, discriminative probabilistic models to permit disambiguation of new predicate words is described.
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