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Universal Dependencies 2.1
The annotation scheme is based on (universal) Stanford dependencies, Google universal part-of-speech tags, and the Interset interlingua for morphosyntactic tagsets for morpho-lingual tagsets. Expand
Towards comprehensive syntactic and semantic annotations of the clinical narrative
This project takes a foundational step towards bringing the field of clinical NLP up to par with NLP in the general domain and provides a resource for research and application development that would have been previously impossible. Expand
PropBank Annotation of Multilingual Light Verb Constructions
This paper has addressed the task of PropBank annotation of light verb constructions, which like multi-word expressions pose special problems and has evaluated 3 different possible methods of annotation. Expand
A Hierarchy with, of, and for Preposition Supersenses
This paper proposes a general-purpose, broadcoverage taxonomy of preposition functions that they are called supersenses: these are coarse and unlexicalized so as to be tractable for efficient manual annotation, yet capture crucial semantic distinctions. Expand
Building Universal Dependency Treebanks in Korean
This paper presents three treebanks in Korean that consist of dependency trees derived from existing treebanks, the Google UD Treebank, the Penn Korean Treebank, and the KAIST Treebank, andExpand
Thinking Like a Skeptic: Defeasible Inference in Natural Language
From Defeasible NLI, both a classification and generation task for defeasible inference are developed, and it is demonstrated that the generation task is much more challenging. Expand
PropBank: Semantics of New Predicate Types
This research focuses on expanding PropBank, a corpus annotated with predicate argument structures, with new predicate types; namely, noun, adjective and complex predicates, such as Light Verb Constructions, in order for PropBank to reach the same level of coverage and continue to serve as the bedrock for Abstract Meaning Representation. Expand
Comprehensive Supersense Disambiguation of English Prepositions and Possessives
This work introduces a new annotation scheme, corpus, and task for the disambiguation of prepositions and possessives in English, which is comprehensive with respect to types and tokens of these markers; uses broadly applicable supersense classes rather than fine-grained dictionary definitions; and distinguishes between a marker's lexical contribution and the role it marks in the context of a predicate or scene. Expand