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Found 8 papers, 3 papers with code
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
In this paper, we introduce InfoLM a family of untrained metrics that can be viewed as a string-based metric that addresses the aforementioned flaws thanks to a pre-trained masked language model.
Improving Multimodal fusion via Mutual Dependency Maximisation
We demonstrate that our new penalties lead to a consistent improvement (up to $4. 3$ on accuracy) across a large variety of state-of-the-art models on two well-known sentiment analysis datasets: \texttt{CMU-MOSI} and \texttt{CMU-MOSEI}.
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
A new metric \texttt{BaryScore} to evaluate text generation based on deep contextualized embeddings e. g., BERT, Roberta, ELMo) is introduced.
Code-switched inspired losses for generic spoken dialog representations
Spoken dialog systems need to be able to handle both multiple languages and multilinguality inside a conversation (\textit{e. g} in case of code-switching).
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
We show the superiority of this method on fair classification and on textual style transfer tasks.
Ranked #1 on
Text Style Transfer
on Yelp Review Dataset (Large)
(BLEU metric)
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
We obtain our representations with a hierarchical encoder based on transformer architectures, for which we extend two well-known pre-training objectives.
Ranked #1 on
Text Classification
on SILICONE Benchmark
Dialogue Act Classification
Emotion Recognition in Conversation
+1
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 is a key component in the development of conversational agents.
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
The task of predicting dialog acts (DA) based on conversational dialog is a key component in the development of conversational agents.
Ranked #1 on
Dialogue Act Classification
on Switchboard corpus
