Results 81 to 90 of about 169,488 (224)
CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser
International Workshop on Semantic Evaluation, 2016 This paper describes CAMR, the transition-based parser that we use in the SemEval-2016 Meaning Representation Parsing task. The main contribution of this paper is a description of the additional sources of information that we use as features in the ...
Chuan Wang +4 more
semanticscholar +1 more source
Unsupervised Discourse Constituency Parsing Using Viterbi EM
Transactions of the Association for Computational Linguistics, 2020 In this paper, we introduce an unsupervised discourse constituency parsing algorithm. We use Viterbi EM with a margin-based criterion to train a span-based discourse parser in an unsupervised manner.
Nishida, Noriki, Nakayama, Hideki
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Parsing Using the Role and Reference Grammar Paradigm [PDF]
, 2009 Much effort has been put into finding ways of parsing natural language. Role and Reference Grammar (RRG) is a linguistic paradigm that has credibility in linguistic circles.
Guest, E
core
Parsing Expression Grammars Made Practical
, 2015 Parsing Expression Grammars (PEGs) define languages by specifying recursive-descent parser that recognises them. The PEG formalism exhibits desirable properties, such as closure under composition, built-in disambiguation, unification of syntactic and ...
Laurent, Nicolas, Mens, Kim
core +1 more source
Bottom-Up Parser: Look-Ahead LR Parser
International Journal of Recent Technology and Engineering (IJRTE), 2019 Compiler is used for the purpose of converting high level code to machine code. For doing this procedure we have six steps. On these steps the syntax analyses is the second step of compiler. The lexical analyzer produce token in the output. The tokens are used as input to syntax analyzer. Syntax analyzer performs parsing operation.
openaire +1 more source
It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool
Annual Meeting of the Association for Computational Linguistics, 2015 The last few years have seen a surge in the number of accurate, fast, publicly available dependency parsers. At the same time, the use of dependency parsing in NLP applications has increased. It can be difficult for a non-expert to select a good “off-the-
Jinho D. Choi +2 more
semanticscholar +1 more source
Computer Science, 2000 Amount of information transferred by computers grows very rapidly thus outgrowing the average man's capability of reception. It implies computer programs increase in the demand for which would be able to perform an introductory classitication or even ...
Agnieszka Grudzinska, Grazyna Szostek
doaj
Proceedings of the second conference on European chapter of the Association for Computational Linguistics -, 1985 This paper describes an implemented parser-interpreter which is intended as an abstract formal model of part of the process of sentence comprehension. It is illustrated here for Phrase Structure Grammars with a translation into a familiar type of logical form, although the general principles are intended to apply to any grammatical theory sharing ...
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A Discriminative Graph-Based Parser for the Abstract Meaning Representation
Annual Meeting of the Association for Computational Linguistics, 2014 Meaning Representation (AMR) is a semantic formalism for which a grow- ing set of annotated examples is avail- able. We introduce the first approach to parse sentences into this representa- tion, providing a strong baseline for fu- ture improvement.
Jeffrey Flanigan +4 more
semanticscholar +1 more source
Journal of Language Modelling, 2016 We compare three different approaches to parsing into syntactic, bi- lexical dependencies for English: a ‘direct’ data-driven dependency parser, a statistical phrase structure parser, and a hybrid, ‘deep’ grammar-driven parser.
Angelina Ivanova +5 more
doaj +1 more source