---
title: "Identification des reprises et — Trouilleux 2001"
description: "This doctoral thesis (Université Blaise-Pascal, GRIL, with Xerox Research Centre Europe, defended December 2001) examines how French texts link a later…"
authors: ["François Trouilleux"]
year: 2001
venue: "Thèse, Université Blaise-Pascal, Clermont-Ferrand"
source: "https://hal.science/tel-01152394"
licence: "CC BY-NC-SA 4.0"
licence_url: "https://creativecommons.org/licenses/by-nc-sa/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/papers/trouilleux-2001-identification-reprises-interpretation-automatique/"
---
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# Identification des reprises et interprétation automatique des expressions pronominales dans des textes en français

**Authors:** François Trouilleux · **Year:** 2001 · **Venue:** Thèse, Université Blaise-Pascal, Clermont-Ferrand · **Licence:** [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)

**Links:** [Publisher's page](https://hal.science/tel-01152394) · [PDF](https://hal.science/tel-01152394/document) · [OpenAlex](https://openalex.org/W2617398106)

**Citations:** 7 citations (openalex-snapshot · 2026-10-14) · 6 in our library, of the 140673 papers whose bibliographies we read

## Summary
This doctoral thesis (Université Blaise-Pascal, GRIL, with Xerox Research Centre Europe, defended December 2001) examines how French texts link a later expression back to an earlier one ("reprises") and how pronouns can be interpreted automatically. Part I sets out a typology of such links: shared denotation, shared description, "membre-de" (member-of), "distingué-de" (distinguished-from), and reference to a discourse. It sets associative anaphora, deixis and date references apart from these. It then defines evaluation criteria that align key and response reference chains and score them by recall, precision, substitution, over-generation and under-generation. These criteria are compared with the link-based scheme of Vilain et al., Popescu-Belis's exclusive core classes and the B-3 algorithm. An inter-annotator experiment tests which notions annotators apply consistently. Part II builds a pronoun resolution system on morphological analysis and the XIP parser. Its methodology covers machine implementation, a corpus study and statistical checking of its hypotheses. The work matters because it supplies a corpus-grounded annotation and evaluation framework for French anaphora. The provided excerpt does not include the system's final scores.

## Key points
- The typology is compared with the MATE coreference annotation scheme, Halliday and Hasan's cohesion model and Salmon-Alt's referential annotation.
- The operationality test used three texts, one expert and five annotators, with mean, variance, majority opinion and an operationality threshold as measures.
- The thesis reviews prior approaches: binding theory, selection restrictions, centering and veins theory, plus the systems of Hobbs, Lappin & Leass, Kennedy & Boguraev, CogNIAC and Popescu-Belis.
- The resolver relies on a frozen, non-final version of XIP, whose main weakness is prepositional-phrase attachment; an appendix shows these errors on a Paribas news text.
- A separate program converts the annotated files to XML. The thesis is distributed under CC BY-NC-SA 4.0 (HAL tel-01152394).

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

Fields: [Linguistics & languages](https://md.research.elamur.ai/free/shelves/linguistics/)

Topics: [Coreference resolution](https://md.research.elamur.ai/free/topics/coreference-resolution/)

## Cite

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{trouilleux2001identification,
  title = {{Identification des reprises et interprétation automatique des expressions pronominales dans des textes en français}},
  author = {Trouilleux, François},
  booktitle = {Thèse, Université Blaise-Pascal, Clermont-Ferrand},
  year = {2001},
  url = {https://hal.science/tel-01152394}
}
```

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## References

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84. [90℄ Agnès Tutin , Trouilleux , François Gaussier , Annie Zaenen , Stéphanie Rayot et Georges Antoniadis . Thèse de do torat, Fa ulté des knowledge-orpus à la théorie : l'annotation ( o-)référen-Computa-entering  Grounding refe-Computational Linguisti s , 25(3), lassement automatique des noms Mémoi… [find](https://scholar.google.com/scholar?q=%5B90%E2%84%84+Agn%C3%A8s+Tutin+%2C+Trouilleux+%2C+Fran%C3%A7ois+Gaussier+%2C+Annie+Zaenen+%2C+St%C3%A9phanie+Rayot+et+Georges+Antoniadis+%2E+Th%C3%A8se+de+do+torat%2C+Fa+ult%C3%A9+des+knowledge%2Dorpus+%C3%A0+la+th%C3%A9orie+%3A+l%27annotation+%28+o%2D%29r%C3%A9f%C3%A9ren%2DCompu)
85. Annotating a large [91℄ Mar Vilain , John Burger , John Aberdeen , Dennis Connolly et Lynette Hirshman . A model-theoreti Pro eedings of the Sixth Message Understanding Conferen e (MUC-6) , p. 45 52, San Fran is o, 1995. Morgan Kaufmann. [find](https://scholar.google.com/scholar?q=Annotating+a+large+%5B91%E2%84%84+Mar+Vilain+%2C+John+Burger+%2C+John+Aberdeen+%2C+Dennis+Connolly+et+Lynette+Hirshman+%2E+A+model%2Dtheoreti+Pro+eedings+of+the+Sixth+Message+Understanding+Conferen+e+%28MUC%2D6%29+%2C+p%2E+45%15+52%2C)
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89. Understanding Natural Language . [95℄ Terry Winograd . [find](https://scholar.google.com/scholar?q=Understanding+Natural+Language+%2E+%5B95%E2%84%84+Terry+Winograd+%2E)
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