@inproceedings{bonomo-etal-2024-exploring,
title = "Exploring the Dissociated Nucleus Phenomenon in Semantic Role Labeling",
author = "Bonomo, Tommaso and
Conia, Simone and
Navigli, Roberto",
editor = "Dell'Orletta, Felice and
Lenci, Alessandro and
Montemagni, Simonetta and
Sprugnoli, Rachele",
booktitle = "Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)",
month = dec,
year = "2024",
address = "Pisa, Italy",
publisher = "CEUR Workshop Proceedings",
url = "https://aclanthology.org/2024.clicit-1.11/",
pages = "81--89",
ISBN = "979-12-210-7060-6",
abstract = "Dependency-based Semantic Role Labeling (SRL) is bound to dependency parsing, as the arguments of a predicate are identified through the token that heads the dependency relation subtree of the argument. However, most dependency-based SRL corpora are susceptible to the dissociated nucleus problem: when a subclause`s semantic and structural cores are two separate words, the dependency tree chooses the structural token as the head of the subtree, coercing the SRL annotation into making the same choice. This leads to undesirable consequences: when directly using the output of a dependency-based SRL method in downstream tasks it is useful to work with the token representing the semantic core of a subclause, not the structural core. In this paper, we carry out a linguistically-driven investigation on the dissociated nucleus problem in dependency-based SRL and propose a novel algorithm that aligns predicate-argument structures to the syntactic structures from Universal Dependencies to select the semantic core of an argument. Our analysis shows that dissociated nuclei appear more often than one could expect, and that our novel algorithm greatly increases the richness of the semantic information in dependency-based SRL. We release the software to reproduce our experiments at http://omitted.link."
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<abstract>Dependency-based Semantic Role Labeling (SRL) is bound to dependency parsing, as the arguments of a predicate are identified through the token that heads the dependency relation subtree of the argument. However, most dependency-based SRL corpora are susceptible to the dissociated nucleus problem: when a subclause‘s semantic and structural cores are two separate words, the dependency tree chooses the structural token as the head of the subtree, coercing the SRL annotation into making the same choice. This leads to undesirable consequences: when directly using the output of a dependency-based SRL method in downstream tasks it is useful to work with the token representing the semantic core of a subclause, not the structural core. In this paper, we carry out a linguistically-driven investigation on the dissociated nucleus problem in dependency-based SRL and propose a novel algorithm that aligns predicate-argument structures to the syntactic structures from Universal Dependencies to select the semantic core of an argument. Our analysis shows that dissociated nuclei appear more often than one could expect, and that our novel algorithm greatly increases the richness of the semantic information in dependency-based SRL. We release the software to reproduce our experiments at http://omitted.link.</abstract>
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%0 Conference Proceedings
%T Exploring the Dissociated Nucleus Phenomenon in Semantic Role Labeling
%A Bonomo, Tommaso
%A Conia, Simone
%A Navigli, Roberto
%Y Dell’Orletta, Felice
%Y Lenci, Alessandro
%Y Montemagni, Simonetta
%Y Sprugnoli, Rachele
%S Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)
%D 2024
%8 December
%I CEUR Workshop Proceedings
%C Pisa, Italy
%@ 979-12-210-7060-6
%F bonomo-etal-2024-exploring
%X Dependency-based Semantic Role Labeling (SRL) is bound to dependency parsing, as the arguments of a predicate are identified through the token that heads the dependency relation subtree of the argument. However, most dependency-based SRL corpora are susceptible to the dissociated nucleus problem: when a subclause‘s semantic and structural cores are two separate words, the dependency tree chooses the structural token as the head of the subtree, coercing the SRL annotation into making the same choice. This leads to undesirable consequences: when directly using the output of a dependency-based SRL method in downstream tasks it is useful to work with the token representing the semantic core of a subclause, not the structural core. In this paper, we carry out a linguistically-driven investigation on the dissociated nucleus problem in dependency-based SRL and propose a novel algorithm that aligns predicate-argument structures to the syntactic structures from Universal Dependencies to select the semantic core of an argument. Our analysis shows that dissociated nuclei appear more often than one could expect, and that our novel algorithm greatly increases the richness of the semantic information in dependency-based SRL. We release the software to reproduce our experiments at http://omitted.link.
%U https://aclanthology.org/2024.clicit-1.11/
%P 81-89
Markdown (Informal)
[Exploring the Dissociated Nucleus Phenomenon in Semantic Role Labeling](https://aclanthology.org/2024.clicit-1.11/) (Bonomo et al., CLiC-it 2024)
ACL