Results 101 to 110 of about 163,637 (234)
Optimizing directly executable LR parsers [PDF]
Traditionally, LR parsers are implemented as table interpreters. A parser generator creates tables whose entries are interpreted by the parser driver. Recent research shows that much faster LR parsers can be obtained by converting the table entries into directly executed code.
openaire +2 more sources
In the study of NIL-affine actions on nilpotent Lie groups we introduced so called LR-structures on Lie algebras. The aim of this paper is to consider the existence question of LR-structures, and to start a structure theory of LR-algebras. We show that any Lie algebra admitting an LR-structure is 2-step solvable. Conversely we find several classes of 2-
arxiv
An intelligent tutoring system for supporting active learning: A case study on predictive parsing learning. [PDF]
Castro-Schez JJ+3 more
europepmc +1 more source
Robustness Evaluation of Two CCG, a PCFG and a Link Grammar Parsers [PDF]
Robustness in a parser refers to an ability to deal with exceptional phenomena. A parser is robust if it deals with phenomena outside its normal range of inputs. This paper reports on a series of robustness evaluations of state-of-the-art parsers in which we concentrated on one aspect of robustness: its ability to parse sentences containing misspelled ...
arxiv
Fast LR parsing using rich (Tree Adjoining) Grammars [PDF]
Carlos A. Prolo
openalex +1 more source
Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations. [PDF]
Aljohani T, Cristea AI.
europepmc +1 more source
Evaluating the effectiveness of decomposed Halstead Metrics in software fault prediction. [PDF]
Khan B, Nadeem A.
europepmc +1 more source
An Efficient Distribution of Labor in a Two Stage Robust Interpretation Process
Although Minimum Distance Parsing (MDP) offers a theoretically attractive solution to the problem of extragrammaticality, it is often computationally infeasible in large scale practical applications. In this paper we present an alternative approach where
Lavie, Alon, Rose', Carolyn Penstien
core +1 more source
Multi-level aspect based sentiment classification of Twitter data: using hybrid approach in deep learning. [PDF]
Janjua SH+4 more
europepmc +1 more source