@inproceedings{petruck-2019-meaning,
title = "Meaning Representation of Null Instantiated Semantic Roles in {F}rame{N}et",
author = "Petruck, Miriam R L",
editor = "Xue, Nianwen and
Croft, William and
Hajic, Jan and
Huang, Chu-Ren and
Oepen, Stephan and
Palmer, Martha and
Pustejovksy, James",
booktitle = "Proceedings of the First International Workshop on Designing Meaning Representations",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-3313",
doi = "10.18653/v1/W19-3313",
pages = "121--127",
abstract = "Humans have the unique ability to infer information about participants in a scene, even if they are not mentioned in a text about that scene. Computer systems cannot do so without explicit information about those participants. This paper addresses the linguistic phenomenon of null-instantiated frame elements, i.e., implicit semantic roles, and their representation in FrameNet (FN). It motivates FN{'}s annotation practice, and illustrates three types of null-instantiated arguments that FrameNet tracks, noting that other lexical resources do not record such semantic-pragmatic information, despite its need in natural language understanding (NLU), and the elaborate efforts to create new datasets. It challenges the community to appeal to FN data to develop more sophisticated techniques for recognizing implicit semantic roles, and creating needed datasets. Although the annotation of null-instantiated roles was lexicographically motivated, FN provides useful information for text processing, and therefore must be considered in the design of any meaning representation for natural language understanding.",
}
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<abstract>Humans have the unique ability to infer information about participants in a scene, even if they are not mentioned in a text about that scene. Computer systems cannot do so without explicit information about those participants. This paper addresses the linguistic phenomenon of null-instantiated frame elements, i.e., implicit semantic roles, and their representation in FrameNet (FN). It motivates FN’s annotation practice, and illustrates three types of null-instantiated arguments that FrameNet tracks, noting that other lexical resources do not record such semantic-pragmatic information, despite its need in natural language understanding (NLU), and the elaborate efforts to create new datasets. It challenges the community to appeal to FN data to develop more sophisticated techniques for recognizing implicit semantic roles, and creating needed datasets. Although the annotation of null-instantiated roles was lexicographically motivated, FN provides useful information for text processing, and therefore must be considered in the design of any meaning representation for natural language understanding.</abstract>
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%0 Conference Proceedings
%T Meaning Representation of Null Instantiated Semantic Roles in FrameNet
%A Petruck, Miriam R. L.
%Y Xue, Nianwen
%Y Croft, William
%Y Hajic, Jan
%Y Huang, Chu-Ren
%Y Oepen, Stephan
%Y Palmer, Martha
%Y Pustejovksy, James
%S Proceedings of the First International Workshop on Designing Meaning Representations
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F petruck-2019-meaning
%X Humans have the unique ability to infer information about participants in a scene, even if they are not mentioned in a text about that scene. Computer systems cannot do so without explicit information about those participants. This paper addresses the linguistic phenomenon of null-instantiated frame elements, i.e., implicit semantic roles, and their representation in FrameNet (FN). It motivates FN’s annotation practice, and illustrates three types of null-instantiated arguments that FrameNet tracks, noting that other lexical resources do not record such semantic-pragmatic information, despite its need in natural language understanding (NLU), and the elaborate efforts to create new datasets. It challenges the community to appeal to FN data to develop more sophisticated techniques for recognizing implicit semantic roles, and creating needed datasets. Although the annotation of null-instantiated roles was lexicographically motivated, FN provides useful information for text processing, and therefore must be considered in the design of any meaning representation for natural language understanding.
%R 10.18653/v1/W19-3313
%U https://aclanthology.org/W19-3313
%U https://doi.org/10.18653/v1/W19-3313
%P 121-127
Markdown (Informal)
[Meaning Representation of Null Instantiated Semantic Roles in FrameNet](https://aclanthology.org/W19-3313) (Petruck, DMR 2019)
ACL