LearningWord Embeddings for Low-resource Languages by PU Learning

9 May 2018

Papers citing "LearningWord Embeddings for Low-resource Languages by PU Learning"

6 / 6 papers shown

Title
Dirichlet-Smoothed Word Embeddings for Low-Resource Settings Jakob Jungmaier Nora Kassner Benjamin Roth 24 10 0 22 Jun 2020
The Frankfurt Latin Lexicon: From Morphological Expansion and Word Embeddings to SemioGraphs Alexander Mehler Bernhard Jussen T. Geelhaar Alexander Henlein Giuseppe Abrami Daniel Baumartz Tolga Uslu Wahed Hemati 49 8 0 21 May 2020
Analyzing the Surprising Variability in Word Embedding Stability Across Languages Laura Burdick Jonathan K. Kummerfeld Rada Mihalcea 44 9 0 30 Apr 2020
Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi Jesujoba Oluwadara Alabi Kwabena Amponsah-Kaakyire David Ifeoluwa Adelani C. España-Bonet 92 53 0 05 Dec 2019
Low-Resource Response Generation with Template Prior Ze Yang Wei Wu Jian Yang Can Xu Zhoujun Li 80 19 0 26 Sep 2019
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing Tal Schuster Ori Ram Regina Barzilay Amir Globerson 90 211 0 25 Feb 2019