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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...
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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...
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03/28/2023
Hallucinations in Large Multilingual Translation Models
Large-scale multilingual machine translation systems have demonstrated r...
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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...
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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...
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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...
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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 ...
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11/24/2022
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Deep learning methods have boosted the adoption of NLP systems in real-l...
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08/31/2022
The Glass Ceiling of Automatic Evaluation in Natural Language Generation
Automatic evaluation metrics capable of replacing human judgments are cr...
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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...
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05/07/2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity
When working with textual data, a natural application of disentangled re...
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02/14/2022
KNIFE: Kernelized-Neural Differential Entropy Estimation
Mutual Information (MI) has been widely used as a loss regularizer for t...
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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...
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12/02/2021
InfoLM: A New Metric to Evaluate Summarization Data2Text Generation
Assessing the quality of natural language generation systems through hum...
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10/07/2021
Beam Search with Bidirectional Strategies for Neural Response Generation
Sequence-to-sequence neural networks have been widely used in language-b...
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08/31/2021
Improving Multimodal fusion via Mutual Dependency Maximisation
Multimodal sentiment analysis is a trending area of research, and the mu...
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08/27/2021
Code-switched inspired losses for generic spoken dialog representations
Spoken dialog systems need to be able to handle both multiple languages ...
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08/27/2021
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
A new metric to evaluate text generation based on deep contextualized e...
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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...
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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"...
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09/23/2020
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
Sequence labelling tasks like Dialog Act and Emotion/Sentiment identific...
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03/25/2020
Heavy-tailed Representations, Text Polarity Classification Data Augmentation
The dominant approaches to text representation in natural language rely ...
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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...
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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...
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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...
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04/04/2019
