Vicente Iván Sánchez Carmona

Affiliations:
  • University College London, UK (PhD 2018)


According to our database1, Vicente Iván Sánchez Carmona authored at least 11 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multilevel Analysis of Biomedical Domain Adaptation of Llama 2: What Matters the Most? A Case Study.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

A Multilevel Analysis of PubMed-only BERT-based Biomedical Models.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2022
Knowledge Mining: A Cross-disciplinary Survey.
Int. J. Autom. Comput., 2022

Towards Personalization by Information Savviness to Improve User Experience in Customer Service Chatbot Conversations.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021
On the Impact of Self-efficacy on Assessment of User Experience in Customer Service Chatbot Conversations.
Proceedings of the Conversational AI for Natural Human-Centric Interaction, 2021

Towards A Six-Level Framework of Emotional Intelligence for Customer Service Chatbots.
Proceedings of the 4th Workshop on Affective Content Analysis (AffCon 2021) co-located with Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021

2018
Experimental analysis of representation learning systems.
PhD thesis, 2018

Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017
How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2015
Towards Two-Way Interaction with Reading Machines.
Proceedings of the Statistical Language and Speech Processing, 2015

Towards Extracting Faithful and Descriptive Representations of Latent Variable Models.
Proceedings of the 2015 AAAI Spring Symposia, 2015


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