Learning to Compute Word Embeddings On the Fly

Learning to Compute Word Embeddings On the Fly

1 June 2017

Dzmitry Bahdanau

Stanislaw Jastrzebski

Edward Grefenstette

Pascal Vincent

Papers citing "Learning to Compute Word Embeddings On the Fly"

7 / 7 papers shown

Title
Dynamic Language Models for Continuously Evolving Content Spurthi Amba Hombaiah Tao Chen Mingyang Zhang Michael Bendersky Marc Najork CLL KELM 40 37 0 11 Jun 2021
Moving Down the Long Tail of Word Sense Disambiguation with Gloss-Informed Biencoders Terra Blevins Luke Zettlemoyer 35 162 0 06 May 2020
Multi-channel Reverse Dictionary Model Lei Zhang Fanchao Qi Zhiyuan Liu Yasheng Wang Qun Liu Maosong Sun 21 45 0 18 Dec 2019
A Hybrid Semantic Parsing Approach for Tabular Data Analysis Yan Gao Jian-Guang Lou Dongmei Zhang LMTD 15 3 0 23 Oct 2019
Improving Pre-Trained Multilingual Models with Vocabulary Expansion Hai Wang Dian Yu Kai Sun Jianshu Chen Dong Yu 30 41 0 26 Sep 2019
Adapting Sequence to Sequence models for Text Normalization in Social Media Ismini Lourentzou Kabir Manghnani ChengXiang Zhai 16 34 0 12 Apr 2019
Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge Debanjan Chaudhuri Agustinus Kristiadi Jens Lehmann Asja Fischer 30 26 0 10 Sep 2018