2018/09/06 by Aaron Smith, Smith, Aaron, Bernd Bohnet +9
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
paper · pdf · doi:10.48550/arxiv.1809.02237
openalex publication_date 2018/09/06 · openalex created_date 2022/08/03 · openalex updated_date 2026/07/28
We present the Uppsala system for the CoNLL 2018 Shared Task on universal\ndependency parsing. Our system is a pipeline consisting of three components:\nthe first performs joint word and sentence segmentation; the second predicts\npart-of- speech tags and morphological features; the third predicts dependency\ntrees from words and tags. Instead of training a single parsing model for each\ntreebank, we trained models with multiple treebanks for one language or closely\nrelated languages, greatly reducing the number of models. On the official test\nrun, we ranked 7th of 27 teams for the LAS and MLAS metrics. Our system\nobtained the best scores overall for word segmentation, universal POS tagging,\nand morphological features.\n