mlsanityData to 14 Oct 2026

HintMiner: Automatic Question Hints Mining From Q&A Web Posts with Language Model via Self-Supervised Learning

arXiv 2609.16060 ↗First posted 13 Sep 2026cs.LG cs.AI cs.CLcited by 0

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Abstract (arXiv)

Users often need ask questions and seek answers online. The Question - Answering (QA) forums such as Stack Overflow cannot always respond to the questions timely and properly. In this paper, we propose HintMiner, a novel automatic question hints mining tool for users to help them find answers. HintMiner leverages the machine comprehension and sequence generation techniques to automatically generate hints for users' questions. It firstly retrieve many web Q&A posts and then extract some hints from the posts using MiningNet that is built via a language model. Using the huge amount of online Q&A posts, we design a self-supervised objective to train the MiningNet that is a neural encoder-decoder model based on the transformer and copying mechanisms. We have evaluated HintMiner on 60,000 Stack Overflow questions. The experiment results show that the proposed approach is effective. For example, HintMiner achieves an average BLEU score of 36.17% and an average ROUGE-2 score of 36.29%. Our tool and experimental data are publicly available.

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References · 20

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  4. 2021SimCSE: Simple Contrastive Learning of Sentence Embeddingscited by 2,173
  5. 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,554
  6. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,475
  7. 2015Pointer Networkscited by 895
  8. 2017Reading Wikipedia to Answer Open-Domain Questionscited by 777
  9. 2015Sequence Level Training with Recurrent Neural Networkscited by 576
  10. 2017Six Challenges for Neural Machine Translationcited by 335
  11. 2021ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfercited by 231
  12. 2016Key-Value Memory Networks for Directly Reading Documentscited by 223
8 more
  1. 2016Incorporating Copying Mechanism in Sequence-to-Sequence Learningcited by 218
  2. 2020UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Trainingcited by 204
  3. 2016Dual Learning for Machine Translationcited by 148
  4. 2017Massive Exploration of Neural Machine Translation Architecturescited by 55
  5. 2017Machine Comprehension by Text-to-Text Neural Question Generationcited by 32
  6. 2018Multi-granularity hierarchical attention fusion networks for reading comprehension and question answeringcited by 28
  7. 2018Sequential Copying Networkscited by 10
  8. 2017How to Ask for Technical Help? Evidence-based Guidelines for Writing Questions on Stack Overflowcited by 4

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