@inproceedings{saccomando-etal-2024-morphological,
title = "Morphological vs. Lexical Antonyms in {I}talian: A Computational Study on Lexical Competition",
author = "Saccomando, Martina and
Zaninello, Andrea and
Masini, Francesca",
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-1.93/",
pages = "864--872",
ISBN = "979-12-210-7060-6",
abstract = "In this paper, we examine the competition between pairs of adjectives in Italian that are antonyms of the same term: one is a {\textquotedblleft}morphological antonym{\textquotedblright} formed by negative prefixation, the other is a {\textquotedblleft}lexical antonym{\textquotedblright} with no morphological relationship with the term in question. We consider pairs of adjectives that are reported as antonyms in lexicographic resources and extract the nouns that can be modified by both adjectives from a large corpus. We select a set of 8 nouns for each pair that present higher, lower, and comparable frequencies combined with each antonym respectively and then we perform two experiments with a LLM. Firstly, we perform experiments for masked-token prediction of the adjective, to study the correlation between prediction accuracy and the frequency of the noun-antonym pair. Secondly, we perform a polarity-flip experiment with a multilingual LLM, asking to change the adjective into its positive counterpart, and study the cases where the antonym is changed to the morphological antonym`s lexical base, under the hypothesis that a flip to the lexical base indicates a narrower set of senses of the antonymic counterpart."
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<abstract>In this paper, we examine the competition between pairs of adjectives in Italian that are antonyms of the same term: one is a “morphological antonym” formed by negative prefixation, the other is a “lexical antonym” with no morphological relationship with the term in question. We consider pairs of adjectives that are reported as antonyms in lexicographic resources and extract the nouns that can be modified by both adjectives from a large corpus. We select a set of 8 nouns for each pair that present higher, lower, and comparable frequencies combined with each antonym respectively and then we perform two experiments with a LLM. Firstly, we perform experiments for masked-token prediction of the adjective, to study the correlation between prediction accuracy and the frequency of the noun-antonym pair. Secondly, we perform a polarity-flip experiment with a multilingual LLM, asking to change the adjective into its positive counterpart, and study the cases where the antonym is changed to the morphological antonym‘s lexical base, under the hypothesis that a flip to the lexical base indicates a narrower set of senses of the antonymic counterpart.</abstract>
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%0 Conference Proceedings
%T Morphological vs. Lexical Antonyms in Italian: A Computational Study on Lexical Competition
%A Saccomando, Martina
%A Zaninello, Andrea
%A Masini, Francesca
%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 saccomando-etal-2024-morphological
%X In this paper, we examine the competition between pairs of adjectives in Italian that are antonyms of the same term: one is a “morphological antonym” formed by negative prefixation, the other is a “lexical antonym” with no morphological relationship with the term in question. We consider pairs of adjectives that are reported as antonyms in lexicographic resources and extract the nouns that can be modified by both adjectives from a large corpus. We select a set of 8 nouns for each pair that present higher, lower, and comparable frequencies combined with each antonym respectively and then we perform two experiments with a LLM. Firstly, we perform experiments for masked-token prediction of the adjective, to study the correlation between prediction accuracy and the frequency of the noun-antonym pair. Secondly, we perform a polarity-flip experiment with a multilingual LLM, asking to change the adjective into its positive counterpart, and study the cases where the antonym is changed to the morphological antonym‘s lexical base, under the hypothesis that a flip to the lexical base indicates a narrower set of senses of the antonymic counterpart.
%U https://aclanthology.org/2024.clicit-1.93/
%P 864-872
Markdown (Informal)
[Morphological vs. Lexical Antonyms in Italian: A Computational Study on Lexical Competition](https://aclanthology.org/2024.clicit-1.93/) (Saccomando et al., CLiC-it 2024)
ACL