Pierre Colombo | DeepAI

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∙ 06/06/2023

A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection

A key feature of out-of-distribution (OOD) detection is to exploit a tra...

0 Eduardo Dadalto, et al. ∙

∙ 05/17/2023

Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks

The evaluation of natural language processing (NLP) systems is crucial f...

0 Anas Himmi, et al. ∙

∙ 03/28/2023

Hallucinations in Large Multilingual Translation Models

Large-scale multilingual machine translation systems have demonstrated r...

0 Nuno M. Guerreiro, et al. ∙

∙ 03/07/2023

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

As language models grow ever larger, the need for large-scale high-quali...

0 Hugo Laurençon, et al. ∙

∙ 02/20/2023

Unsupervised Layer-wise Score Aggregation for Textual OOD Detection

Out-of-distribution (OOD) detection is a rapidly growing field due to ne...

0 Maxime Darrin, et al. ∙

∙ 12/19/2022

Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation

Neural machine translation (NMT) has become the de-facto standard in rea...

0 Nuno M. Guerreiro, et al. ∙

∙ 12/18/2022

Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data

As more and more conversational and translation systems are deployed in ...

0 Maxime Darrin, et al. ∙

∙ 11/24/2022

Beyond Mahalanobis-Based Scores for Textual OOD Detection

Deep learning methods have boosted the adoption of NLP systems in real-l...

0 Pierre Colombo, et al. ∙

∙ 08/31/2022

The Glass Ceiling of Automatic Evaluation in Natural Language Generation

Automatic evaluation metrics capable of replacing human judgments are cr...

15 Pierre Colombo, et al. ∙

∙ 08/24/2022

Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation

Research on Automatic Story Generation (ASG) relies heavily on human and...

22 Cyril Chhun, et al. ∙

∙ 05/07/2022

Learning Disentangled Textual Representations via Statistical Measures of Similarity

When working with textual data, a natural application of disentangled re...

7 Pierre Colombo, et al. ∙

∙ 02/14/2022

KNIFE: Kernelized-Neural Differential Entropy Estimation

Mutual Information (MI) has been widely used as a loss regularizer for t...

0 Georg Pichler, et al. ∙

∙ 02/08/2022

What are the best systems? New perspectives on NLP Benchmarking

In Machine Learning, a benchmark refers to an ensemble of datasets assoc...

12 Pierre Colombo, et al. ∙

∙ 12/02/2021

InfoLM: A New Metric to Evaluate Summarization Data2Text Generation

Assessing the quality of natural language generation systems through hum...

0 Pierre Colombo, et al. ∙

∙ 10/07/2021

Beam Search with Bidirectional Strategies for Neural Response Generation

Sequence-to-sequence neural networks have been widely used in language-b...

0 Pierre Colombo, et al. ∙

∙ 08/31/2021

Improving Multimodal fusion via Mutual Dependency Maximisation

Multimodal sentiment analysis is a trending area of research, and the mu...

0 Pierre Colombo, et al. ∙

∙ 08/27/2021

Code-switched inspired losses for generic spoken dialog representations

Spoken dialog systems need to be able to handle both multiple languages ...

0 Emile Chapuis, et al. ∙

∙ 08/27/2021

Automatic Text Evaluation through the Lens of Wasserstein Barycenters

A new metric to evaluate text generation based on deep contextualized e...

0 Pierre Colombo, et al. ∙

∙ 05/06/2021

A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations

Learning disentangled representations of textual data is essential for m...

0 Pierre Colombo, et al. ∙

∙ 09/23/2020

The importance of fillers for text representations of speech transcripts

While being an essential component of spoken language, fillers (e.g."um"...

0 Tanvi Dinkar, et al. ∙

∙ 09/23/2020

Hierarchical Pre-training for Sequence Labelling in Spoken Dialog

Sequence labelling tasks like Dialog Act and Emotion/Sentiment identific...

10 Emile Chapuis, et al. ∙

∙ 03/25/2020

Heavy-tailed Representations, Text Polarity Classification Data Augmentation

The dominant approaches to text representation in natural language rely ...

0 Hamid Jalalzai, et al. ∙

∙ 02/21/2020

Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue

The task of predicting dialog acts (DA) based on conversational dialog i...

0 Pierre Colombo, et al. ∙

∙ 02/20/2020

Guiding attention in Sequence-to-sequence models for Dialogue Act prediction

The task of predicting dialog acts (DA) based on conversational dialog i...

0 Pierre Colombo, et al. ∙

∙ 08/29/2019

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining

The task of predicting fine grained user opinion based on spontaneous sp...

0 Alexandre Garcia, et al. ∙

∙ 04/04/2019

Affect-Driven Dialog Generation

The majority of current systems for end-to-end dialog generation focus o...

0 Pierre Colombo, et al. ∙

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