LML: A Novel Lexicon for the Moral Foundation of Liberty
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866916949349367808 |
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| author | Araque, Oscar Gatti, Lorenzo Consoli, Sergio Kalimeri, Kyriaki |
| author_facet | Araque, Oscar Gatti, Lorenzo Consoli, Sergio Kalimeri, Kyriaki |
| contents | The moral value of liberty is a central concept in our inference system when it comes to taking a stance towards controversial social issues such as vaccine hesitancy, climate change, or the right to abortion. Here, we propose a novel Liberty lexicon evaluated on more than 3,000 manually annotated data both in in- and out-of-domain scenarios. As a result of this evaluation, we produce a combined lexicon that constitutes the main outcome of this work. This final lexicon incorporates information from an ensemble of lexicons that have been generated using word embedding similarity (WE) and compositional semantics (CS). Our key contributions include enriching the liberty annotations, developing a robust liberty lexicon for broader application, and revealing the complexity of expressions related to liberty across different platforms. Through the evaluation, we show that the difficulty of the task calls for designing approaches that combine knowledge, in an effort of improving the representations of learning systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_11862 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | LML: A Novel Lexicon for the Moral Foundation of Liberty Araque, Oscar Gatti, Lorenzo Consoli, Sergio Kalimeri, Kyriaki Computation and Language The moral value of liberty is a central concept in our inference system when it comes to taking a stance towards controversial social issues such as vaccine hesitancy, climate change, or the right to abortion. Here, we propose a novel Liberty lexicon evaluated on more than 3,000 manually annotated data both in in- and out-of-domain scenarios. As a result of this evaluation, we produce a combined lexicon that constitutes the main outcome of this work. This final lexicon incorporates information from an ensemble of lexicons that have been generated using word embedding similarity (WE) and compositional semantics (CS). Our key contributions include enriching the liberty annotations, developing a robust liberty lexicon for broader application, and revealing the complexity of expressions related to liberty across different platforms. Through the evaluation, we show that the difficulty of the task calls for designing approaches that combine knowledge, in an effort of improving the representations of learning systems. |
| title | LML: A Novel Lexicon for the Moral Foundation of Liberty |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2407.11862 |