mlsanityData to 14 Oct 2026

An Argumentative Dialogue System for COVID-19 Vaccine Information

arXiv 2107.12079 ↗First posted 26 Jul 2021cs.CL cs.AI cs.IRcited by 3

Not on the map. Why?

Abstract (arXiv)

Dialogue systems are widely used in AI to support timely and interactive communication with users. We propose a general-purpose dialogue system architecture that leverages computational argumentation to perform reasoning and provide consistent and explainable answers. We illustrate the system using a COVID-19 vaccine information case study.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 18 of its 38 references that are in the map. First posted on arXiv 26 Jul 2021.

Builds on

18 of 38 references.

References · 18

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  3. 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,307
  4. 2018Deep contextualized word representationscited by 2,290
  5. 2020MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformerscited by 1,463
  6. 2019TinyBERT: Distilling BERT for Natural Language Understandingcited by 1,167
  7. 2017SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluationcited by 1,001
  8. 2020MPNet: Masked and Permuted Pre-training for Language Understandingcited by 981
  9. 2014Distributed Representations of Sentences and Documentscited by 678
  10. 2020Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillationcited by 593
  11. 2017A Survey on Dialogue Systems: Recent Advances and New Frontierscited by 162
  12. 2019Queens are Powerful too: Mitigating Gender Bias in Dialogue Generationcited by 152
6 more
  1. 2019Survey on Evaluation Methods for Dialogue Systemscited by 126
  2. 2019Attention in Natural Language Processingcited by 101
  3. 2019Does Gender Matter? Towards Fairness in Dialogue Systemscited by 89
  4. 2017Ethical Challenges in Data-Driven Dialogue Systemscited by 86
  5. 2018Learning Personalized End-to-End Goal-Oriented Dialogcited by 19
  6. 2018Learning End-to-End Goal-Oriented Dialog with Multiple Answerscited by 4

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 0; 2024: 2.

3 papers.

  1. 2024Computational Argumentation-based Chatbots: a Surveycited by 5
  2. 2022Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metriccited by 0
  3. 2024A Chatbot for Asylum-Seeking Migrants in Europecited by 0