Results 71 to 80 of about 296,979 (166)

The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing [PDF]

open access: yesarXiv, 2017
We evaluate a semantic parser based on a character-based sequence-to-sequence model in the context of the SemEval-2017 shared task on semantic parsing for AMRs. With data augmentation, super characters, and POS-tagging we gain major improvements in performance compared to a baseline character-level model. Although we improve on previous character-based
arxiv  

Parsley: optimising and improving parser combinators

open access: yes, 2023
Parser combinators are a functional abstraction for parsing that abstracts hand-written recursive-descent parsers behind a high-level set of combinators. While these kinds of parsers are popular in the functional programming community, they have been historically criticised: * Parser combinator performance is sub-par compared with handwritten parsers. *
openaire   +2 more sources

Verified Subtyping with Traits and Mixins

open access: yes, 2014
Traits allow decomposing programs into smaller parts and mixins are a form of composition that resemble multiple inheritance. Unfortunately, in the presence of traits, programming languages like Scala give up on subtyping relation between objects.
Sharma, Asankhaya
core   +2 more sources

The computational origin of representation. [PDF]

open access: yesMinds Mach (Dordr), 2021
Piantadosi ST.
europepmc   +1 more source

Parsing methods streamlined [PDF]

open access: yesarXiv, 2013
This paper has the goals (1) of unifying top-down parsing with shift-reduce parsing to yield a single simple and consistent framework, and (2) of producing provably correct parsing methods, deterministic as well as tabular ones, for extended context-free grammars (EBNF) represented as state-transition networks.
arxiv  

A Linear Observed Time Statistical Parser Based on Maximum Entropy Models [PDF]

open access: yesarXiv, 1997
This paper presents a statistical parser for natural language that obtains a parsing accuracy---roughly 87% precision and 86% recall---which surpasses the best previously published results on the Wall St. Journal domain. The parser itself requires very little human intervention, since the information it uses to make parsing decisions is specified in a ...
arxiv  

Grounded Adaptation for Zero-shot Executable Semantic Parsing [PDF]

open access: yesarXiv, 2020
We propose Grounded Adaptation for Zero-shot Executable Semantic Parsing (GAZP) to adapt an existing semantic parser to new environments (e.g. new database schemas). GAZP combines a forward semantic parser with a backward utterance generator to synthesize data (e.g.
arxiv  

Multi-dimensional Type Theory: Rules, Categories, and Combinators for Syntax and Semantics

open access: yes, 2004
We investigate the possibility of modelling the syntax and semantics of natural language by constraints, or rules, imposed by the multi-dimensional type theory Nabla.
Villadsen, Jørgen
core   +2 more sources

Learning an Executable Neural Semantic Parser [PDF]

open access: yesarXiv, 2017
This paper describes a neural semantic parser that maps natural language utterances onto logical forms which can be executed against a task-specific environment, such as a knowledge base or a database, to produce a response. The parser generates tree-structured logical forms with a transition-based approach which combines a generic tree-generation ...
arxiv  

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