mlsanityData to 7 Oct 2026

Multi-level Contrastive Learning for Script-based Character Understanding

arXiv 2310.13231 ↗First posted 20 Oct 2023cs.CL cs.AI cs.LGcited by 15

Not on the map. Why?

Abstract (arXiv)

In this work, we tackle the scenario of understanding characters in scripts, which aims to learn the characters' personalities and identities from their utterances. We begin by analyzing several challenges in this scenario, and then propose a multi-level contrastive learning framework to capture characters' global information in a fine-grained manner. To validate the proposed framework, we conduct extensive experiments on three character understanding sub-tasks by comparing with strong pre-trained language models, including SpanBERT, Longformer, BigBird and ChatGPT-3.5. Experimental results demonstrate that our method improves the performances by a considerable margin. Through further in-depth analysis, we show the effectiveness of our method in addressing the challenges and provide more hints on the scenario of character understanding. We will open-source our work on github at https://github.com/David-Li0406/Script-based-Character-Understanding.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 30 of its 58 references that are in the map. First posted on arXiv 20 Oct 2023.

Builds on

30 of 58 references.

References · 30

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
  4. 2020Longformer: The Long-Document Transformercited by 3,362
  5. 2021SimCSE: Simple Contrastive Learning of Sentence Embeddingscited by 2,168
  6. 2019Transformer-XL: Attentive Language Models Beyond a Fixed-Length Contextcited by 1,830
  7. 2020Big Bird: Transformers for Longer Sequencescited by 1,673
  8. 2020Oscar: Object-Semantics Aligned Pre-training for Vision-Language Taskscited by 1,213
  9. 2019SpanBERT: Improving Pre-training by Representing and Predicting Spanscited by 832
  10. 2020Pre-trained Models for Natural Language Processing: A Surveycited by 504
  11. 2021Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Surveycited by 457
  12. 2016A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Storiescited by 413
18 more
  1. 2022Unified Contrastive Learning in Image-Text-Label Spacecited by 194
  2. 2020A Knowledge-Enhanced Pretraining Model for Commonsense Story Generationcited by 116
  3. 2021Contrastive Learning for Many-to-many Multilingual Neural Machine Translationcited by 108
  4. 2021Self-Guided Contrastive Learning for BERT Sentence Representationscited by 103
  5. 2022MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversationcited by 84
  6. 2020ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learningcited by 72
  7. 2020Contrastive Learning with Adversarial Perturbations for Conditional Text Generationcited by 56
  8. 2021"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understandingcited by 48
  9. 2019Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characterscited by 23
  10. 2021Logic-Consistency Text Generation from Semantic Parsescited by 23
  11. 2023Personality Understanding of Fictional Characters during Book Readingcited by 20
  12. 2022GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understandingcited by 14
  13. 2021Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehensioncited by 13
  14. 2022A Survey of Machine Narrative Reading Comprehension Assessmentscited by 10
  15. 2022Fine-grained Contrastive Learning for Definition Generationcited by 10
  16. 2015Annotating Character Relationships in Literary Textscited by 7
  17. 2022Fine-grained Contrastive Learning for Relation Extractioncited by 7
  18. 2021Joint Coreference Resolution and Character Linking for Multiparty Conversationcited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 13; 2025: 0; 2026: 2.

15 papers.

Sort:

By area:

  1. 2024From Persona to Personalization: A Survey on Role-Playing Language Agentscited by 206
  2. 2024DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literaturecited by 50
  3. 2024Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Workscited by 38
  4. 2024SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agentscited by 30
  5. 2024Contextualization Distillation from Large Language Model for Knowledge Graph Completioncited by 18
  6. 2024Beyond Math: Stories as a Testbed for Memorization-Constrained Reasoning in LLMscited by 11
  7. 2024A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Modelscited by 5
  8. 2024Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attributioncited by 4
  9. 2024Understanding Multimodal Deep Neural Networks: A Concept Selection Viewcited by 4
  10. 2024Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuningcited by 3
  11. 2024Balancing Speciality and Versatility: A Coarse to Fine Framework for Mitigating Catastrophic Forgetting in Large Language Modelscited by 3
  12. 2024Improving Quotation Attribution with Fictional Character Embeddingscited by 3
3 more
  1. 2024CHATTER: A Character Attribution Dataset for Narrative Understandingcited by 2
  2. 2026GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Studycited by 1
  3. 2026CASPER in the Machine: Insights into Character Variety in LLM-Generated Storiescited by 0