Agnès Tutin

Also published as: Agnes Tutin


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Comparing Recurring Lexico-Syntactic Trees (RLTs) and Ngram Techniques for Extended Phraseology Extraction
Agnès Tutin | Olivier Kraif
Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)

This paper aims at assessing to what extent a syntax-based method (Recurring Lexico-syntactic Trees (RLT) extraction) allows us to extract large phraseological units such as prefabricated routines, e.g. “as previously said” or “as far as we/I know” in scientific writing. In order to evaluate this method, we compare it to the classical ngram extraction technique, on a subset of recurring segments including speech verbs in a French corpus of scientific writing. Results show that the LRT extraction technique is far more efficient for extended MWEs such as routines or collocations but performs more poorly for surface phenomena such as syntactic constructions or fully frozen expressions.


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ScienQuest: a Treebank Exploitation Tool for non NLP-Specialists
Achille Falaise | Olivier Kraif | Agnès Tutin | David Rouquet
Proceedings of COLING 2012: Demonstration Papers


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Annotation of Anaphoric Expressions in an Aligned Bilingual Corpus
Agnès Tutin | Meriam Haddara | Ruslan Mitkov | Constantin Orasan
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)


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Lexical choice in context: generating procedural texts
Agnes Tutin | Richard Kittredge
COLING 1992 Volume 2: The 15th International Conference on Computational Linguistics