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Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC

Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC

7 November 2022
Ze Chen
Kangxu Wang
Zijian Cai
Jiewen Zheng
Jiarong He
Max Gao
Jason Zhang
    MoE
ArXivPDFHTML

Papers citing "Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC"

13 / 13 papers shown
Title
TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social
  Media
TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media
Daniel Loureiro
Aminette D'Souza
Areej Muhajab
Isabella A. White
Gabriel Wong
Luis Espinosa Anke
Leonardo Neves
Francesco Barbieri
Jose Camacho-Collados
43
26
0
15 Sep 2022
TimeLMs: Diachronic Language Models from Twitter
TimeLMs: Diachronic Language Models from Twitter
Daniel Loureiro
Francesco Barbieri
Leonardo Neves
Luis Espinosa Anke
Jose Camacho-Collados
95
255
0
08 Feb 2022
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with
  Gradient-Disentangled Embedding Sharing
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
Pengcheng He
Jianfeng Gao
Weizhu Chen
145
1,187
0
18 Nov 2021
Statistically significant detection of semantic shifts using contextual
  word embeddings
Statistically significant detection of semantic shifts using contextual word embeddings
Yang Liu
A. Medlar
D. Głowacka
55
18
0
08 Apr 2021
Explaining and Improving BERT Performance on Lexical Semantic Change
  Detection
Explaining and Improving BERT Performance on Lexical Semantic Change Detection
Severin Laicher
Sinan Kurtyigit
Dominik Schlechtweg
Jonas Kuhn
Sabine Schulte im Walde
30
54
0
12 Mar 2021
XL-WiC: A Multilingual Benchmark for Evaluating Semantic
  Contextualization
XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization
Alessandro Raganato
Tommaso Pasini
Jose Camacho-Collados
Mohammad Taher Pilehvar
69
63
0
13 Oct 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
AAML
129
2,724
0
05 Jun 2020
Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment
Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment
Estèphe Arnaud
Arnaud Dapogny
Kévin Bailly
CVBM
49
10
0
21 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
514
24,351
0
26 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.4K
94,511
0
11 Oct 2018
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive
  Meaning Representations
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations
Mohammad Taher Pilehvar
Jose Camacho-Collados
157
485
0
28 Aug 2018
Outrageously Large Neural Networks: The Sparsely-Gated
  Mixture-of-Experts Layer
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
221
2,630
0
23 Jan 2017
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
229
19,017
0
20 Dec 2014
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