Ambiguity management in computational Glue semantics

This paper presents extensions to XLE+Glue and the Glue semantics workbench. Concretely, it builds on Findlay & Haug’s (2022) idea of multistage proving. By combining their insights with techniques first described in Lev (2007), this paper provides a more flexible implementation of multistage proving. Furthermore, it presents an extension of XLE+Glue that allows users to integrate multistage proving into computational LFG grammars. Finally, the paper discusses some insights from working on ambiguity management and semantic grammar writing suggesting that full syntactic or semantic autonomy is a challenge for computational models of LFG.

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Publication Details

Journal
Open Journal Systems (Global Science & Technology Forum)
Published
2024-11-06
DOI
https://doi.org/10.18148/lfg/2024.v29i.59
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

Ambiguity management in computational Glue semantics

Mark-Matthias Zymla
Open Journal Systems (Global Science & Technology Forum)
Natural Language Processing Techniques
article

Ambiguity management in computational Glue semantics

Mark-Matthias Zymla
article en

Abstract

This paper presents extensions to XLE+Glue and the Glue semantics workbench. Concretely, it builds on Findlay & Haug’s (2022) idea of multistage proving. By combining their insights with techniques first described in Lev (2007), this paper provides a more flexible implementation of multistage proving. Furthermore, it presents an extension of XLE+Glue that allows users to integrate multistage proving into computational LFG grammars. Finally, the paper discusses some insights from working on ambiguity management and semantic grammar writing suggesting that full syntactic or semantic autonomy is a challenge for computational models of LFG.

Open Journal Systems (Global Science & Technology Forum)
University of Konstanz (DE)
Quality Education
Openalex Percentile: Top 41%
Natural Language Processing Techniques
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