Some Like It Small: Czech Semantic Embedding Models for Industry Applications

23 November 2023

Papers citing "Some Like It Small: Czech Semantic Embedding Models for Industry Applications"

9 / 9 papers shown

Title
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank Jiduan Liu Jiahao Liu Qifan Wang Jingang Wang Wei Wu Yunsen Xian Dongyan Zhao Kai Chen Rui Yan SSL 47 35 0 26 May 2023
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder Shitao Xiao Zheng Liu Yingxia Shao Bo Zhao RALM 172 117 0 24 May 2022
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction Sebastian Hofstatter Omar Khattab Sophia Althammer Mete Sertkan Allan Hanbury 35 34 0 24 Mar 2022
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning Kexin Wang Nils Reimers Iryna Gurevych 50 179 0 14 Apr 2021
Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords Tom Kocmi Martin Popel Ondrej Bojar 14 38 0 06 Jul 2020
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT Omar Khattab Matei A. Zaharia 88 1,337 0 27 Apr 2020
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation Nils Reimers Iryna Gurevych 55 1,014 0 21 Apr 2020
MPNet: Masked and Permuted Pre-training for Language Understanding Kaitao Song Xu Tan Tao Qin Jianfeng Lu Tie-Yan Liu 76 1,093 0 20 Apr 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 524 11,979 0 27 Aug 2019