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20182022
most citedOn-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019

44 citations · 76 across the 10 of their papers we have counts for

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13 papers · 1 filter

cs.CL2022

Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency

Yanzhu Guo, Chloé Clavel, Moussa Kamal Eddine +1

The topic of summarization evaluation has recently attracted a surge of attention due to the rapid development of abstractive summarization systems. However, the formulation of the…

cs.CL20223 cited

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

Cyril Chhun, Pierre Colombo, Chloé Clavel +1

Research on Automatic Story Generation (ASG) relies heavily on human and automatic evaluation. However, there is no consensus on which human evaluation criteria to use, and no anal…

cs.CL2022

A survey of neural models for the automatic analysis of conversation: Towards a better integration of the social sciences

Chloé Clavel, Matthieu Labeau, Justine Cassell

Some exciting new approaches to neural architectures for the analysis of conversation have been introduced over the past couple of years. These include neural architectures for det…

cs.CL202111 cited

Beam Search with Bidirectional Strategies for Neural Response Generation

Pierre Colombo, Chouchang Yang, Giovanna Varni +1

Sequence-to-sequence neural networks have been widely used in language-based applications as they have flexible capabilities to learn various language models. However, when seeking…

cs.CL2021

Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks

Gaël Guibon, Matthieu Labeau, Hélène Flamein +2

Several recent studies on dyadic human-human interactions have been done on conversations without specific business objectives. However, many companies might benefit from studies d…

cs.CL202111 cited

Automatic Text Evaluation through the Lens of Wasserstein Barycenters

Pierre Colombo, Guillaume Staerman, Chloe Clavel +1

A new metric \texttt{BaryScore} to evaluate text generation based on deep contextualized embeddings e.g., BERT, Roberta, ELMo) is introduced. This metric is motivated by a new fram…