DSBKTE at ATE-IT: From Token Classification to Zero-Shot Generation: Two Approaches to Italian ATE at EVALITA 2026 (2026 · 1 citation)
The paper presents one team's submission to the first subtask (Subtask A) of the ATE-IT shared task, held as part of EVALITA 2026.
JTTE at ATE-IT: A CRF Model with Contextual Embeddings (2026 · 1 citation)
The paper describes a system for Subtask A (term extraction) of the ATE-IT shared task at EVALITA 2026. The task is to find domain terms in Italian institutional sentences about municipal waste management. The authors treat extraction as BIO sequence tagging and use a linear-chain CRF, which keeps label sequences…
SMTE at ATE-IT: Ensemble Term Extraction with Italian BERT, spaCy, and Vocabulary-Based Filtering (2026 · 1 citation)
The paper presents SMTE, a system for Subtask A of the ATE-IT shared task at EVALITA 2026. The task is to extract single- and multi-word domain terms from Italian institutional sentences about municipal waste management. Outputs must be lowercase, have no duplicates within a sentence, and exclude terms nested inside…
VVTE at ATE-IT: From Candidates to Terms: Hybrid Italian ATE with Dependency Heuristics, Gemini, and Random Forest Filtering (2026 · 1 citation)
This paper presents a system built for the term extraction subtask (Subtask A) in the ATE-IT shared task held at EVALITA 2026.

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Updated 31 October 2026