mlsanityData to 14 Oct 2026

What's The Latest? A Question-driven News Chatbot

arXiv 2105.05392 ↗First posted 12 May 2021cs.CL cs.HCcited by 14

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Abstract (arXiv)

This work describes an automatic news chatbot that draws content from a diverse set of news articles and creates conversations with a user about the news. Key components of the system include the automatic organization of news articles into topical chatrooms, integration of automatically generated questions into the conversation, and a novel method for choosing which questions to present which avoids repetitive suggestions. We describe the algorithmic framework and present the results of a usability study that shows that news readers using the system successfully engage in multi-turn conversations about specific news stories.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 8 of its 15 references that are in the map. First posted on arXiv 12 May 2021.

Builds on

8 of 15 references.

References · 8

  1. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  2. 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,554
  3. 2018CoQA: A Conversational Question Answering Challengecited by 683
  4. 2018QuAC : Question Answering in Contextcited by 381
  5. 2016NewsQA: A Machine Comprehension Datasetcited by 331
  6. 2017Learning to Ask: Neural Question Generation for Reading Comprehensioncited by 186
  7. 2021The Summary Loop: Learning to Write Abstractive Summaries Without Examplescited by 27
  8. 2019Generating Question-Answer Hierarchiescited by 20

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Cited by year

Citing papers per year: 2021: 3; 2022: 5; 2023: 3; 2024: 1; 2025: 2.

14 papers.

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