Dependency Parsing as a Sequence Labeling Task
نویسندگان
چکیده
منابع مشابه
Dependency Parsing as a Sequence Labeling Task
The aim of this paper is to explore the feasibility of solving the dependency parsing problem using sequence labeling tools. We introduce an algorithm to transform a dependency tree into a tag sequence suitable for a sequence labeling algorithm and evaluate several parameter settings on the standard treebank data. We focus mainly on Czech, as a high-inflective freeword-order language, which is ...
متن کاملDependency Parsing and Semantic Role Labeling as a Single Task
We present a comparison between two systems for establishing syntactic and semantic dependencies: one that performs dependency parsing and semantic role labeling as a single task, and another that performs the two tasks in isolation. The systems are based on local memorybased classifiers predicting syntactic and semantic dependency relations between pairs of words. In a second global phase, the...
متن کاملTurku: Semantic Dependency Parsing as a Sequence Classification
This paper presents the University of Turku entry to the SemEval-2015 task on BroadCoverage Semantic Dependency Parsing. The system uses an existing transition-based parser as a sequence classifier to jointly predict all arguments of one candidate predicate at a time. Compared to our 2014 entry, the 2015 system gains about 3pp in terms of F-score for a fraction of the development time. Dependin...
متن کاملGeneration as Dependency Parsing
Natural-Language Generation from flat semantics is an NP-complete problem. This makes it necessary to develop algorithms that run with reasonable efficiency in practice despite the high worstcase complexity. We show how to convert TAG generation problems into dependency parsing problems, which is useful because optimizations in recent dependency parsers based on constraint programming tackle ex...
متن کاملFinding Arguments as Sequence Labeling in Discourse Parsing
This paper describes our system for the CoNLL-2016 Shared Task on Shallow Discourse Parsing on English. We adopt a cascaded framework consisting of nine components, among which six are casted as sequence labeling tasks and the remaining three are treated as classification problems. All our sequence labeling and classification models are implemented based on linear models with averaged perceptro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Prague Bulletin of Mathematical Linguistics
سال: 2010
ISSN: 1804-0462,0032-6585
DOI: 10.2478/v10108-010-0017-3