Simple and Effective Dimensionality Reduction for Word Embeddings

11 August 2017

Papers citing "Simple and Effective Dimensionality Reduction for Word Embeddings"

9 / 9 papers shown

Title
Discrete Speech Unit Extraction via Independent Component Analysis Tomohiko Nakamura Kwanghee Choi Keigo Hojo Yoshiaki Bando Satoru Fukayama Shinji Watanabe 51 0 0 11 Jan 2025
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform Vitaly Bulgakov Alec Segal 37 2 0 09 Apr 2024
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Qijie Ding Jie Yin Daokun Zhang Junbin Gao 56 4 0 05 Jul 2023
Embedding Compression for Text Classification Using Dictionary Screening Jing Zhou Xinru Jing Mu Liu Hansheng Wang 23 0 0 23 Nov 2022
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment Qijie Ding Daokun Zhang Jie Yin OT 21 6 0 05 Sep 2022
Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem Ryoma Sato 19 0 0 04 May 2022
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality Adithya V Ganesan Matthew Matero Aravind Reddy Ravula Huy-Hien Vu H. Andrew Schwartz 30 35 0 07 May 2021
Robust and Consistent Estimation of Word Embedding for Bangla Language by fine-tuning Word2Vec Model Rifat Rahman 14 9 0 26 Oct 2020
Pretraining Federated Text Models for Next Word Prediction Joel Stremmel Arjun Singh FedML 20 53 0 11 May 2020