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UKP-SQuARE: An Interactive Tool for Teaching Question Answering

arXiv 2305.19748 ↗First posted 31 May 2023cs.CLcited by 0

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Abstract (arXiv)

The exponential growth of question answering (QA) has made it an indispensable topic in any Natural Language Processing (NLP) course. Additionally, the breadth of QA derived from this exponential growth makes it an ideal scenario for teaching related NLP topics such as information retrieval, explainability, and adversarial attacks among others. In this paper, we introduce UKP-SQuARE as a platform for QA education. This platform provides an interactive environment where students can run, compare, and analyze various QA models from different perspectives, such as general behavior, explainability, and robustness. Therefore, students can get a first-hand experience in different QA techniques during the class. Thanks to this, we propose a learner-centered approach for QA education in which students proactively learn theoretical concepts and acquire problem-solving skills through interactive exploration, experimentation, and practical assignments, rather than solely relying on traditional lectures. To evaluate the effectiveness of UKP-SQuARE in teaching scenarios, we adopted it in a postgraduate NLP course and surveyed the students after the course. Their positive feedback shows the platform's effectiveness in their course and invites a wider adoption.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 18 of its 27 references that are in the map. First posted on arXiv 31 May 2023.

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18 of 27 references.

References · 18

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
  3. 2017Axiomatic Attribution for Deep Networkscited by 3,350
  4. 2013Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Mapscited by 2,348
  5. 2016ConceptNet 5.5: An Open Multilingual Graph of General Knowledgecited by 1,065
  6. 2020Beyond Accuracy: Behavioral Testing of NLP models with CheckListcited by 979
  7. 2019SpanBERT: Improving Pre-training by Representing and Predicting Spanscited by 832
  8. 2020UnifiedQA: Crossing Format Boundaries With a Single QA Systemcited by 475
  9. 2019Is Attention Interpretable?cited by 387
  10. 2021QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answeringcited by 386
  11. 2018AllenNLP: A Deep Semantic Natural Language Processing Platformcited by 347
  12. 2019MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehensioncited by 183
6 more
  1. 2018Pathologies of Neural Models Make Interpretations Difficultcited by 140
  2. 2020Learning to Faithfully Rationalize by Constructioncited by 113
  3. 2021MetaQA: Combining Expert Agents for Multi-Skill Question Answeringcited by 15
  4. 2022UKP-SQUARE: An Online Platform for Question Answering Researchcited by 6
  5. 2022UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QAcited by 2
  6. 2023UKP-SQuARE v3: A Platform for Multi-Agent QA Researchcited by 1

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