Publications related to Shift-reduce parser

LMS-Verify: Abstraction without Regret for Verified Systems Programming’

Performance critical software is almost always developed in C, as programmers do not trust high-level languages to deliver the same reliable performance. This is bad because low-level code in unsafe languages attracts security vulnerabilities and because d ...

Assoc Computing Machinery2017

A pilot study on eliciting human operations decision in purchasing and measuring their impact on supply chain efficiency

Rémy Glardon, Souleïman Naciri, Min-Jung Yoo, Yvonne Badulescu

This paper presents a methodology for eliciting the behavioural model of purchasers' decision-making in a supply chain environment. The objective of the work is to explicitly describe the relationship between a human user's behaviour and the resulting perf ...

Pergamon-Elsevier Science Ltd2017

Word Sequence Modeling using Deep Learning

Joël Yvon Roland Legrand

For a long time, natural language processing (NLP) has relied on generative models with task specific and manually engineered features. Recently, there has been a resurgence of interest for neural networks in the machine learning community, obtaining state ...

EPFL2016

Traversal Query Language For Scala.Meta

Eugene Burmako, Eric Beguet

With the rise of metaprogramming in Scala, manipulating ASTs has become a daily job. Yet the standard API provides only low-level mechanisms to transform or to collect information on those data structures. Moreover, those mechanisms often force the program ...

2015

Automating Grammar Comparison

Viktor Kuncak, Mikaël Mayer, Ravichandhran Kandhadai Madhavan

We consider from a practical perspective the problem of checking equivalence of context-free grammars. We present techniques for proving equivalence, as well as techniques for finding counter-examples that establish non-equivalence. Among the key building ...

2015

Automating Grammar Comparison

Viktor Kuncak, Mikaël Mayer, Ravichandhran Kandhadai Madhavan

We consider from a practical perspective the problem of checking equivalence of context-free grammars. We present techniques for proving equivalence, as well as techniques for finding counter-examples that establish non-equivalence. Among the key building ...

Assoc Computing Machinery2015

Towards Automating Grammar Equivalence Checking

Viktor Kuncak, Mikaël Mayer, Ravichandhran Kandhadai Madhavan

We consider from practical perspective the (generally undecidable) problem of checking equivalence of context-free grammars. We present both techniques for proving equivalence, as well as techniques for finding counter-examples that establish non-equivalen ...

2015

Staged parser combinators for efficient data processing

Martin Odersky, Tiark Rompf, Sandro Stucki, Manohar Jonnalagedda, Thierry Coppey

Parsers are ubiquitous in computing, and many applications depend on their performance for decoding data efficiently. Parser combinators are an intuitive tool for writing parsers: tight integration with the host language enables grammar specifications to b ...

ACM Press2014

Staged Parser Combinators for Efficient Data Processing

Martin Odersky, Tiark Rompf, Sandro Stucki, Manohar Jonnalagedda, Thierry Coppey

Parsers are ubiquitous in computing, and many applications depend on their performance for decoding data efficiently. Parser combinators are an intuitive tool for writing parsers: tight integration with the host language enables grammar specifications to b ...

Assoc Computing Machinery2014

Accelerating parser combinators with macros

Manohar Jonnalagedda, Eric Beguet

Parser combinators provide an elegant way of writing parsers: parser implementations closely follow the structure of the underlying grammar, while accommodating interleaved host language code for data processing. However, the host language features used fo ...

ACM Press2014

Shift-reduce parser

LMS-Verify: Abstraction without Regret for Verified Systems Programming’

A pilot study on eliciting human operations decision in purchasing and measuring their impact on supply chain efficiency

Word Sequence Modeling using Deep Learning

Traversal Query Language For Scala.Meta

Automating Grammar Comparison

Automating Grammar Comparison

Towards Automating Grammar Equivalence Checking

Staged parser combinators for efficient data processing

Staged Parser Combinators for Efficient Data Processing

Accelerating parser combinators with macros

Graph Chatbot

Chat with Graph Search

LMS-Verify: Abstraction without Regret for Verified Systems Programming’

Traversal Query Language For Scala.Meta

Word Sequence Modeling using Deep Learning

A pilot study on eliciting human operations decision in purchasing and measuring their impact on supply chain efficiency

Automating Grammar Comparison

Towards Automating Grammar Equivalence Checking

Automating Grammar Comparison

Staged parser combinators for efficient data processing

Staged Parser Combinators for Efficient Data Processing

Accelerating parser combinators with macros