Papers by Mattia Proietti
Does BERT Recognize an Agent? Modeling Dowty’s Proto-Roles with Contextual Embeddings (2022.coling-1)
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| Challenge: | Contextual embeddings build multidimensional representations of word tokens based on their context of occurrence. |
| Approach: | They propose to map the verb embeddings to an interpretable space of semantic properties built from a linguistic dataset and test their ability to model the semantic properties of the agent of the verbs participating in the alternation. |
| Outcome: | The proposed models can model the semantic properties of the verbs participating in the so-called causative alternation. |