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Automatic Extraction of Time Expressions Across Domains in French Narratives

Abstract : The prevalence of temporal references across all types of natural language utterances makes temporal analysis a key issue in Natural Language Processing. This work adresses three research questions: 1/is temporal expression recognition specific to a particular domain? 2/if so, can we characterize domain specificity? and 3/how can subdomain specificity be integrated in a single tool for unified temporal expression extraction? Herein, we assess temporal expression recognition from documents written in French covering three domains. We present a new corpus of clinical narratives annotated for temporal expressions , and also use existing corpora in the newswire and historical domains. We show that temporal expressions can be extracted with high performance across domains (best F-measure 0.96 obtained with a CRF model on clinical narratives). We argue that domain adaptation for the extraction of temporal expressions can be done with limited efforts and should cover pre-processing as well as temporal specific tasks.
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Contributor : Mike Donald Tapi Nzali <>
Submitted on : Wednesday, September 6, 2017 - 8:51:58 PM
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Mike Donald Tapi Nzali, Xavier Tannier, Aurélie Névéol. Automatic Extraction of Time Expressions Across Domains in French Narratives. EMNLP: Empirical Methods in Natural Language Processing, Sep 2015, Lisbonne, Portugal. pp.492-498, ⟨10.18653/v1/D15-1055⟩. ⟨hal-01222642⟩



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