Implementing Variable Vectors in a CCG Parser
This article addresses problems that arise from the use of category variables T\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{do...
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Published in | Logical Aspects of Computational Linguistics. Celebrating 20 Years of LACL (1996–2016) pp. 52 - 67 |
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Main Authors | , |
Format | Book Chapter |
Language | English |
Published |
Berlin, Heidelberg
Springer Berlin Heidelberg
01.01.2016
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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Summary: | This article addresses problems that arise from the use of category variables T\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$${\varvec{T}}$$\end{document} in combinatory categorial grammars (CCGs), in particular, that they require extension of semantic languages with variable vectors in a form such as λx¯.M\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$\lambda \overline{x}.M$$\end{document} or Mx¯\documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$M\overline{x}$$\end{document}. As a solution to such problems, we introduce a technique for implementing variable vectors within the context of lightblue, a Japanese CCG parser implemented within the Haskell programming language with a dependent type semantics (DTS) representation. |
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Bibliography: | My sincere thanks to Koji Mineshima and Ribeka Tanaka for many helpful discussions. I also thank the developers of JUMAN++ and KNP, in particular, Sadao Kurohashi, Daisuke Kawahara, Hajime Morita and Yuta Hayashibe, for sharing information. I also thank the anonymous reviewers of LACL2016 for many insightful comments. This research is partially supported by JST, CREST. |
ISBN: | 3662538253 9783662538258 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-662-53826-5_4 |