mlsanityData to 7 Oct 2026

Project Debater APIs: Decomposing the AI Grand Challenge

arXiv 2110.01029 ↗First posted 3 Oct 2021cs.CLcited by 8

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Abstract (arXiv)

Project Debater was revealed in 2019 as the first AI system that can debate human experts on complex topics. Engaging in a live debate requires a diverse set of skills, and Project Debater has been developed accordingly as a collection of components, each designed to perform a specific subtask. Project Debater APIs provide access to many of these capabilities, as well as to more recently developed ones. This diverse set of web services, publicly available for academic use, includes core NLP services, argument mining and analysis capabilities, and higher-level services for content summarization. We describe these APIs and their performance, and demonstrate how they can be used for building practical solutions. In particular, we will focus on Key Point Analysis, a novel technology that identifies the main points and their prevalence in a collection of texts such as survey responses and user reviews.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 9 of its 22 references that are in the map. First posted on arXiv 3 Oct 2021.

Builds on

9 of 22 references.

References · 9

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2019A Large-scale Dataset for Argument Quality Ranking: Construction and Analysiscited by 66
  4. 2020From Arguments to Key Points: Towards Automatic Argument Summarizationcited by 60
  5. 2019Corpus Wide Argument Mining -- a Working Solutioncited by 36
  6. 2020Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysiscited by 31
  7. 2020Multilingual Argument Mining: Datasets and Analysiscited by 19
  8. 2021Every Bite Is an Experience: Key Point Analysis of Business Reviewscited by 19
  9. 2019Fast End-to-End Wikificationcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 3; 2025: 1; 2026: 1.

8 papers.

  1. 2021NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledgecited by 20
  2. 2024An Empirical Analysis of Diversity in Argument Summarizationcited by 9
  3. 2024A Hybrid Intelligence Method for Argument Miningcited by 6
  4. 2022Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancycited by 4
  5. 2025CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated LLMscited by 4
  6. 2023Artificial intelligence and the limits of the humanitiescited by 0
  7. 2024Health Misinformation in Social Networks: A Survey of IT Approachescited by 0
  8. 2026Improving Neural Argumentative Stance Classification in Controversial Topics with Emotion-Lexicon Featurescited by 0