Papers by Jairo Cugliari

2 papers
Monitoring geometrical properties of word embeddings for detecting the emergence of new topics. (2021.emnlp-main)

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Challenge: a recent study shows that slow emerging topics are often detected too late . a positive correlation is linked with event-like topics while a negative correlation is a sign of emergence.
Approach: They propose to monitor words representation in embedding space and use one of its geometrical properties to characterize the emergence of topics.
Outcome: The proposed method outperforms state-of-the-art methods on two public datasets of press and scientific articles.
Exploring Semantics in Pretrained Language Model Attention (2024.starsem-1)

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Challenge: Abstract Meaning Representations (AMRs) encode the semantics of sentences in the form of graphs.
Approach: They propose to use attention heads of two LMs to detect semantic relations encoded in AMRs.
Outcome: The proposed models detect semantic relations without fine tuning, using both unsupervised and supervised learning techniques.

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