Papers by Lucas Cordeiro
Montague semantics and modifier consistency measurement in neural language models (2025.coling-main)
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| Challenge: | Existing studies on distributional language models have been focused on linguistics and their relationship with semantic formalisms for decades. |
| Approach: | They propose a method for measuring compositional behavior in contemporary language embedding models by introducing three new tests inspired by Montague semantics. |
| Outcome: | The proposed method measures compositional behavior in language embedding models on adjectival modifier phenomena in adjective-noun phrases. |
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective (2022.findings-acl)
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| Challenge: | Existing studies focus on robustness-like metamorphic relations, which limit the scope of linguistic properties they can test. |
| Approach: | They propose three new classes of metamorphic relations which address the properties of systematicity, compositionality and transitivity. |
| Outcome: | The proposed methods show that metamorphic models do not always behave according to expected linguistic properties. |
Interventional Probing in High Dimensions: An NLI Case Study (2023.findings-eacl)
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| Challenge: | Probing strategies have been shown to detect the presence of various linguistic features inlarge language models; in particular, semantic features intermediate to the “natural logic”fragment of the NLI. |
| Approach: | They propose to use amnesic probing and mnestic probing to investigate the effect of these semantic fea-tures on NLI classification by examining the effects of a mnemonic probing variation on the model. |
| Outcome: | The proposed methods have been shown to detect features intermediate to the “natural logic”fragment of the Natural Language Inferencetask (NLI). |