mlsanityData to 7 Oct 2026

Meeting Decision Tracker: Making Meeting Minutes with De-Contextualized Utterances

arXiv 2210.11374 ↗First posted 20 Oct 2022cs.CLcited by 0

Not on the map. Why?

Abstract (arXiv)

Meetings are a universal process to make decisions in business and project collaboration. The capability to automatically itemize the decisions in daily meetings allows for extensive tracking of past discussions. To that end, we developed Meeting Decision Tracker, a prototype system to construct decision items comprising decision utterance detector (DUD) and decision utterance rewriter (DUR). We show that DUR makes a sizable contribution to improving the user experience by dealing with utterance collapse in natural conversation. An introduction video of our system is also available at https://youtu.be/TG1pJJo0Iqo.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 22 references that are in the map. First posted on arXiv 20 Oct 2022.

Builds on

12 of 22 references.

References · 12

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  3. 2019Unified Language Model Pre-training for Natural Language Understanding and Generationcited by 668
  4. 2020ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-trainingcited by 221
  5. 2019Improving Multi-turn Dialogue Modelling with Utterance ReWritercited by 57
  6. 2019Pretrained Language Models for Sequential Sentence Classificationcited by 53
  7. 2020Incomplete Utterance Rewriting as Semantic Segmentationcited by 33
  8. 2020SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restorationcited by 18
  9. 2022Enhance Incomplete Utterance Restoration by Joint Learning Token Extraction and Text Generationcited by 9
  10. 2018Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networkscited by 8
  11. 2021s2s-ft: Fine-Tuning Pretrained Transformer Encoders for Sequence-to-Sequence Learningcited by 7
  12. 2021Discussion Tracker: Supporting Teacher Learning about Students' Collaborative Argumentation in High School Classroomscited by 3

Built on by

Not cited yet.