mlsanityData to 14 Oct 2026

Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering

arXiv 2206.03886 ↗First posted 8 Jun 2022cs.CLcited by 18

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Abstract (arXiv)

The psychotherapy intervention technique is a multifaceted conversation between a therapist and a patient. Unlike general clinical discussions, psychotherapy's core components (viz. symptoms) are hard to distinguish, thus becoming a complex problem to summarize later. A structured counseling conversation may contain discussions about symptoms, history of mental health issues, or the discovery of the patient's behavior. It may also contain discussion filler words irrelevant to a clinical summary. We refer to these elements of structured psychotherapy as counseling components. In this paper, the aim is mental health counseling summarization to build upon domain knowledge and to help clinicians quickly glean meaning. We create a new dataset after annotating 12.9K utterances of counseling components and reference summaries for each dialogue. Further, we propose ConSum, a novel counseling-component guided summarization model. ConSum undergoes three independent modules. First, to assess the presence of depressive symptoms, it filters utterances utilizing the Patient Health Questionnaire (PHQ-9), while the second and third modules aim to classify counseling components. At last, we propose a problem-specific Mental Health Information Capture (MHIC) evaluation metric for counseling summaries. Our comparative study shows that we improve on performance and generate cohesive, semantic, and coherent summaries. We comprehensively analyze the generated summaries to investigate the capturing of psychotherapy elements. Human and clinical evaluations on the summary show that ConSum generates quality summary. Further, mental health experts validate the clinical acceptability of the ConSum. Lastly, we discuss the uniqueness in mental health counseling summarization in the real world and show evidences of its deployment on an online application with the support of mpathic.ai

Key facts. Cited by 18 papers in the map (data through 14 Oct 2026). Builds on 22 of its 45 references that are in the map. First posted on arXiv 8 Jun 2022.

Builds on

22 of 45 references.

References · 22

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10 more
  1. 2020Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniquescited by 64
  2. 2020Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structurescited by 49
  3. 2021Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarizationcited by 46
  4. 2018Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Actscited by 44
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  6. 2021Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversationscited by 31
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 5; 2025: 6; 2026: 5.

18 papers.

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  1. 2023SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Supportcited by 46
  2. 2025MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistancecited by 39
  3. 2024Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Studycited by 13
  4. 2024Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarizationcited by 11
  5. 2024Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social mediacited by 8
  6. 2025Between Help and Harm: An Evaluation of Mental Health Crisis Handling by LLMscited by 6
  7. 2025Trust Modeling in Counseling Conversations: A Benchmark Studycited by 5
  8. 2024Enhancing Psychotherapy Counseling: A Data Augmentation Pipeline Leveraging Large Language Models for Counseling Conversationscited by 3
  9. 2025TN-Eval: Rubric and Evaluation Protocols for Measuring the Quality of Behavioral Therapy Notescited by 3
  10. 2025M-HELP: Using Social Media Data to Detect Mental Health Help-Seeking Signalscited by 3
  11. 2024Leveraging language models for summarizing mental state examinations: A comprehensive evaluation and dataset releasecited by 2
  12. 2023Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systemscited by 1
6 more
  1. 2025EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AIcited by 1
  2. 2026Enhancing Consistency of Werewolf AI through Dialogue Summarization and Persona Informationcited by 1
  3. 2026Measuring What Matters!! Assessing Therapeutic Principles in Mental-Health Conversationcited by 1
  4. 2026Do You Understand How I Feel?: Towards Verified Empathy in Therapy Chatbotscited by 0
  5. 2026EmoTrack: Clinical-Semantic Modeling for Text-Based Depression Severity Estimationcited by 0
  6. 2026LongCounsel-8: A Benchmark Suite for Longitudinal Depression Tracking from Multi-Session Counseling Dialoguescited by 0