Papers by Luigi Di Caro
Building Semantic Grams of Human Knowledge (2020.lrec-1)
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| Challenge: | Word senses are typically defined with textual definitions and put in context via lexical-semantic relations such as synonymy, antonymy, hypernymy, etc. |
| Approach: | They propose a slot-filler structure to define the meaning of words in terms of their prototypical semantic information. |
| Outcome: | The proposed model improves on a semantic similarity task and shows significant improvements over state-of-the-art embeddings. |
Populating Legal Ontologies using Semantic Role Labeling (2020.lrec-1)
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Llio Humphreys, Guido Boella, Luigi Di Caro, Livio Robaldo, Leon van der Torre, Sepideh Ghanavati, Robert Muthuri
| Challenge: | This paper is concerned with the ‘resource consumption bottleneck’ of creating semantic technologies manually. |
| Approach: | They propose to combine general-purpose NLP modules with pre- and post-processing using rules based on domain knowledge to solve the acquisition paradox. |
| Outcome: | The proposed system extracts norms from legislation and represents them as structured norms in legal ontologies. |
Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation (2025.findings-acl)
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| Challenge: | Existing methods for learning meaningful representations from unannotated data are resource-intensive and degrade other speech components. |
| Approach: | They propose a method that decomposes SSL representations into speaker-specific components and generates speaker disentangled representations. |
| Outcome: | The proposed method achieves speaker independence and improves on state-of-the-art methods. |
EcoVerse: An Annotated Twitter Dataset for Eco-Relevance Classification, Environmental Impact Analysis, and Stance Detection (2024.lrec-main)
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| Challenge: | EcoVerse is an annotated English Twitter dataset of 3,023 tweets . mainstream NLP tasks dominate the scene, but environmental impacts remain unstudied . |
| Approach: | They propose an annotation scheme for Eco-Relevance Classification, Stance Detection and an original approach for Environmental Impact Analysis. |
| Outcome: | The proposed scheme produces consistent annotations of high quality . the dataset is made freely available to stimulate further research . |
Enhancing Polyglot Voices by Leveraging Cross-Lingual Fine-Tuning in Any-to-One Voice Conversion (2024.findings-emnlp)
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| Challenge: | Recent advances in speech synthesis have improved the quality of polyglot voices. |
| Approach: | They propose a cross-lingual any-to-one voice conversion system that preserves the source accent without multilingual data from the target speaker. |
| Outcome: | The proposed system preserves source accent without multilingual data from target speaker and reduces training data requirements. |