activity
20222024
most citedCometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task

33 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

"I Never Said That": A dataset, taxonomy and baselines on response clarity classification

Konstantinos Thomas, Giorgos Filandrianos, Maria Lymperaiou +2

Equivocation and ambiguity in public speech are well-studied discourse phenomena, especially in political science and analysis of political interviews. Inspired by the well-grounde…

cs.CL20242 cited

Conformal Prediction for Natural Language Processing: A Survey

Margarida M. Campos, António Farinhas, Chrysoula Zerva +2

The rapid proliferation of large language models and natural language processing (NLP) applications creates a crucial need for uncertainty quantification to mitigate risks such as…

cs.CL2023

Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues

Sumire Honda, Patrick Fernandes, Chrysoula Zerva

Despite the remarkable advancements in machine translation, the current sentence-level paradigm faces challenges when dealing with highly-contextual languages like Japanese. In thi…

cs.CL202233 cited

CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task

Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro +9

We present the joint contribution of IST and Unbabel to the WMT 2022 Shared Task on Quality Estimation (QE). Our team participated on all three subtasks: (i) Sentence and Word-leve…

cs.CL20221 cited

Learning Disentangled Representations of Negation and Uncertainty

Jake Vasilakes, Chrysoula Zerva, Makoto Miwa +1

Negation and uncertainty modeling are long-standing tasks in natural language processing. Linguistic theory postulates that expressions of negation and uncertainty are semantically…