mlsanityData to 14 Oct 2026

MAILEX: Email Event and Argument Extraction

arXiv 2305.13469 ↗First posted 22 May 2023cs.CL cs.AIcited by 6

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Abstract (arXiv)

In this work, we present the first dataset, MailEx, for performing event extraction from conversational email threads. To this end, we first proposed a new taxonomy covering 10 event types and 76 arguments in the email domain. Our final dataset includes 1.5K email threads and ~4K emails, which are annotated with totally ~8K event instances. To understand the task challenges, we conducted a series of experiments comparing three types of approaches, i.e., fine-tuned sequence labeling, fine-tuned generative extraction, and few-shot in-context learning. Our results showed that the task of email event extraction is far from being addressed, due to challenges lying in, e.g., extracting non-continuous, shared trigger spans, extracting non-named entity arguments, and modeling the email conversational history. Our work thus suggests more future investigations in this domain-specific event extraction task.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 21 of its 61 references that are in the map. First posted on arXiv 22 May 2023.

Builds on

21 of 61 references.

References · 21

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  4. 2020Event Extraction by Answering (Almost) Natural Questionscited by 177
  5. 2021Document-Level Event Argument Extraction by Conditional Generationcited by 155
  6. 2021Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extractioncited by 129
  7. 2020MAVEN: A Massive General Domain Event Detection Datasetcited by 104
  8. 2019Gmail Smart Compose: Real-Time Assisted Writingcited by 98
  9. 2019Multi-Sentence Argument Linkingcited by 81
  10. 2023Exploring the Feasibility of ChatGPT for Event Extractioncited by 76
  11. 2016Smart Reply: Automated Response Suggestion for Emailcited by 54
  12. 2022Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extractioncited by 54
9 more
  1. 2018One for All: Neural Joint Modeling of Entities and Eventscited by 37
  2. 2022PHEE: A Dataset for Pharmacovigilance Event Extraction from Textcited by 37
  3. 2021CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extractioncited by 15
  4. 2022Cross-document Event Coreference Search: Task, Dataset and Modelingcited by 12
  5. 2022Dynamic Global Memory for Document-level Argument Extractioncited by 11
  6. 2020Smart To-Do : Automatic Generation of To-Do Items from Emailscited by 5
  7. 2017Actionable Email Intent Modeling with Reparametrized RNNscited by 2
  8. 2022Bi-Directional Iterative Prompt-Tuning for Event Argument Extractioncited by 2
  9. 2022Adapting Task-Oriented Dialogue Models for Email Conversationscited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 3; 2026: 1.

6 papers.

  1. 2025Instruction-Tuning LLMs for Event Extraction with Annotation Guidelinescited by 18
  2. 2024ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinementcited by 12
  3. 2025Event Extraction in Large Language Modelcited by 5
  4. 20245W1H Extraction With Large Language Modelscited by 3
  5. 2025Multimodal Event Detection: Current Approaches and Defining the New Playground through LLMs and VLMscited by 1
  6. 2026Calibrated Typed Decisions for Entity, Relation, and Event Extractioncited by 0