Appendix F: MUC-7 Coreference Task Definition (version 3.0)
Written for the Research library (claude-opus-5-5) from the paper text, in our own words: the license "CC BY-NC-SA 3.0 (ACL Anthology, before 2016)" does not allow redistributing the text itself. Original — aclanthology.org/M98-1029.pdf
Summary
This document is the official annotation guideline for the coreference task at MUC-7. It explains how to mark noun phrases in a text that refer to the same entity. The scheme supports downstream information extraction, especially the Template Element and Scenario Template tasks, and also aims to produce a reusable corpus for discourse research. The authors rank four goals: usefulness for extraction, about 95% inter-annotator agreement, fast and cheap annotation, and research value. To keep agreement high, they annotate only the symmetric, transitive IDENT relation between markables (nouns, NPs, pronouns, dates, money and percentages). Set/subset, part/whole and clause-level links are left out. Annotation uses inline SGML COREF tags. The ID/REF attributes encode the links, MIN gives the head-based minimal span a system must match, and STATUS="OPT" marks optional links. When marking every value of a changing quantity would merge distinct values into one equivalence class, the guideline keeps the classes clean and accepts the lost links. Scoring gives the same result however the coreference chains are encoded.
Key points
- Only the IDENT relation is annotated. Because it is symmetric and transitive, the links form equivalence classes, and scoring does not depend on which REF pointers form a chain.
- The SGML attributes are ID, REF, TYPE (always IDENT), MIN (minimal head string for full credit) and STATUS=OPT (optional anaphor links).
- Collapsing chains are avoided. For example, in a sentence where a stock price falls from $4.02 to $3.85, only the latest value is linked to the price.
- Wh-question phrases and phrases whose antecedent is a clause are not annotated. In speech, disfluent or "erased" material is excluded.
- Appendix examples come from a MUC-6 Wall Street Journal article and a TRAINS dialogue transcript. Planned extensions include clause-level coreference, discontinuous or conjoined elements, a type vs. instance distinction, and set/subset and part/whole relations.
Cited by
- Detection and Resolution of Verb Phrase Ellipsis
- A Framework for Annotating Information Structure in Discourse
- On Coreferring: Coreference in MUC and Related Annotation Schemes
- Coreference in Wikipedia: Main Concept Resolution
- WikiCoref: An English Coreference-annotated Corpus of Wikipedia Articles
- ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT
- NPs for Events: Experiments in Coreference Annotation
- A Coreference Corpus and Resolution System for Dutch
- Exploiting Coreference Annotations for Text-to-Hypertext Conversion
- Unrestricted Bridging Resolution
- Annotating a Japanese Text Corpus with Predicate-Argument and Coreference Relations
- PoCoS - Potsdam Coreference Scheme
- Coreference Resolution for the Biomedical Domain: A Survey
- Comparing Knowledge Sources for Nominal Anaphora Resolution
- Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection
- Aiding Pronoun Translation with Co-Reference Resolution
- Building a Coreference-Annotated Corpus from the Domain of Biochemistry
- Coreference meets Universal Dependencies – a pilot experiment on harmonizing coreference datasets for 11 languages
- The MATE meta-scheme for coreference in dialogues in multiple languages
- The MATE/GNOME Proposals for Anaphoric Annotation, Revisited
- The Reliability of Anaphoric Annotation, Reconsidered: Taking Ambiguity into Account
- Introducing the Prague Discourse Treebank 1.0
- Transferring Coreference Chains through Word Alignment
- Coreference Resolution across Corpora: Languages, Coding Schemes, and Preprocessing Information
- Annotating Near-Identity from Coreference Disagreements
- Towards Coreference for Literary Text: Analyzing Domain-Specific Phenomena
- Coreference Resolution with and without Linguistic Knowledge
- The More Antecedents, the Merrier: Resolving Multi-Antecedent Anaphors
- Opinion Piece: Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes
Cite
@inproceedings{hirschman1998appendix,
title = {{Appendix F: MUC-7 Coreference Task Definition (version 3.0)}},
author = {Hirschman, Lynette and Chinchor, Nancy},
booktitle = {Seventh Message Understanding Conference (MUC-7): Proceedings of a Conference Held in Fairfax, Virginia, April 29 - May 1, 1998},
year = {1998},
url = {https://aclanthology.org/M98-1029/}
}