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Abstract Meaning Representation for Sembanking
We describe Abstract Meaning Representation (AMR), a semantic representation language in which we are writing down the meanings of thousands of English sentences paired with rooted, labeled syntactic trees. Expand
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Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
We address the problem of part-of-speech tagging for English data from the popular micro-blogging service Twitter. Expand
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Frame-Semantic Parsing
We solve the problem of frame-semantic parsing using a two-stage statistical model that takes lexical targets (i.e., content words and phrases) in their sentential contexts and predicts frame-Semantic structures. Expand
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A Dependency Parser for Tweets
We describe TWEEBOPARSER, a dependency parser for English tweets that achieves over 80% unlabeled attachment score on a new, high-quality test set. Expand
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Association for Computational Linguistics: Human Language Technologies
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Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut
We present a novel representation, evaluation measure, and supervised models for the task of identifying the multiword expressions (MWEs) in a sentence, resulting in a lexical semantic segmentation. Expand
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Probabilistic Frame-Semantic Parsing
This paper contributes a formalization of frame-semantic parsing as a structure prediction problem and describes an implemented parser that transforms an English sentence into a FrameNet representation. Expand
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SEMAFOR: Frame Argument Resolution with Log-Linear Models
This paper describes the SEMAFOR system's performance in the SemEval 2010 task on linking events and their participants in discourse. Expand
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Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics
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Comprehensive Annotation of Multiword Expressions in a Social Web Corpus
We present a 55,000-word corpus of English web text annotated for multiword expressions (MWEs) with the aim of full corpus coverage. Expand
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