2016/11/03 by Emmanuele Chersoni, Chersoni, Emmanuele, Giulia Rambelli +3
Computer Science · Engineering · #Computer science #Engineering #Natural Language Processing Techniques #Systems engineering #Task (project management) #Text Readability and Simplification #Topic Modeling #cs.CL
paper · pdf · doi:10.48550/arxiv.1611.01101
arxiv created 2016/11/03 · openalex publication_date 2016/11/03 · arxiv updated 2016/11/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
In this paper, we describe ROOT 18, a classifier using the scores of several unsupervised distributional measures as features to discriminate between semantically related and unrelated words, and then to classify the related pairs according to their semantic relation (i.e. synonymy, antonymy, hypernymy, part-whole meronymy). Our classifier participated in the CogALex-V Shared Task, showing a solid performance on the first subtask, but a poor performance on the second subtask. The low scores reported on the second subtask suggest that distributional measures are not sufficient to discriminate between multiple semantic relations at once.