LEXCONN: A French Lexicon of Discourse Connectives
Summary
Explicit connectives such as "so" or "after all" are the most direct signal of how the parts of a text relate. They help both human readers and automatic discourse analysers pick the intended relation. Comparable inventories already existed for English, Spanish and German, but French had none. The authors built LEXCONN by hand. They began with roughly 600 candidates pooled from lists of conjunctions and prepositions, the ANNODIS marker list, and a manual translation of Knott's English inventory. They then filtered these candidates with syntactic, semantic and discourse tests and checked actual usage against examples from the FRANTEXT literary corpus. Each retained item receives a syntactic category and one or more relations from Segmented Discourse Representation Theory (SDRT), each marked as coordinating or subordinating. The final lexicon lists 328 French connectives. The work also exposed gaps in SDRT: six extra relations had to be introduced, mostly borrowed from RST, and some connectives fit no relation at all. The resource is meant to support French discourse annotation and NLP-based discourse parsing.
Key points
- LEXCONN contains 328 French discourse connectives, narrowed down from about 600 candidates. It is presented as the first such lexicon for French, following earlier work for English (Knott, 1996), Spanish and German.
- Connectives are classed as coordinating conjunctions (cco), subordinating conjunctions (csu), prepositions (prep) or adverbs (adv). Three tests were used for filtering: the Cleft, Substitutability and Compositionality criteria.
- By number of associated connectives, the most common relations are Opposition (9.5%), Result (8.1%), and Concession and Continuation (7.4% each).
- Six relations absent from SDRT were added: Concession, Opposition, Summary, Detachment, Digression and Rephrasing. For example, bien que and même si were assigned subordinating Concession rather than Contrast.
- 21 connectives (about 6%), such as à mesure que, en fait and quant à, are labelled "unknown" because no available relation captures their meaning.
Cited by
- Combining Natural and Artificial Examples to Improve Implicit Discourse Relation Identification
- Developing a French FrameNet: Methodology and First results
- Annotating the meaning of discourse connectives by looking at their translation: The translation-spotting technique
- FDTB1, première étape du projet « French Discourse Treebank » : repérage des connecteurs de discours en corpus
- Primary and secondary discourse connectives: definitions and lexicons
- Constructing a Lexicon of English Discourse Connectives
- Towards a Contextual Pragmatic Model to Detect Irony in Tweets
- Inducing Discourse Connectives from Parallel Texts
- Multilingual Annotation and Disambiguation of Discourse Connectives for Machine Translation
- Anaphoricity in Connectives: A Case Study on German
Cite
@inproceedings{roze2012lexconn,
title = {{LEXCONN: A French Lexicon of Discourse Connectives}},
author = {Roze, Charlotte and Danlos, Laurence and Muller, Philippe},
booktitle = {Discours 10},
year = {2012},
doi = {10.4000/discours.8645},
url = {https://doi.org/10.4000/discours.8645}
}References
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