Abstract

This paper presents FrameNet’s approach to the representation of Support Verbs, as but one type of multiword expression (MWE) included in the database. In addition to motivating and illustrating FrameNet’s newly consistent annotation practice for Support Verb constructions, the present work advocates adopting a broad view of what constitutes a multiword expression.

Highlights

  • Natural Language Processing (NLP) research has been interested in the automatic processing of multiword expressions, with reports on and tasks relating to such efforts presented at workshops and conferences for over ten years (e.g. ACL 2003, LREC 2008, COLING 2010, EACL 2014, NAACL 2015)

  • In Meaning Text Theory (MTT), lexical functions describe collocations that serve a range of purposes, including, for instance, MAGN, for collocations that emphasize the extremeness of another word and CAUS for collocations that express the causation of a word

  • This paper has provided a brief overview of multiword expressions in FrameNet focusing on one type of such expression, namely support verb constructions

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Summary

Introduction

Natural Language Processing (NLP) research has been interested in the automatic processing of multiword expressions, with reports on and tasks relating to such efforts presented at workshops and conferences for over ten years (e.g. ACL 2003, LREC 2008, COLING 2010, EACL 2014, NAACL 2015). Salehi et al (2015) tested newer methods using word embeddings in English and German for compound nouns and verb particle combinations. These studies focused on predicting MWEs, and have not been assessed for the method’s utility on vector meaning representations for MWEs. In contrast, the FrameNet analysis of MWEs treats all known kinds of multi-word expressions in English and offers a description of their meaning with the same powerful Frame Semantics system that FN uses for single words.

Background to FrameNet
Background
Multiword Expressions in FrameNet
Support Verbs in FrameNet
Representing Support Vs in FrameNet
Motivating FrameNet’s Approach
Terminology
Example
Conclusion
Full Text
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