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WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive
  Meaning Representations

WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations

28 August 2018
Mohammad Taher Pilehvar
Jose Camacho-Collados
ArXivPDFHTML

Papers citing "WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations"

22 / 22 papers shown
Title
KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning
KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning
Zhendong Mi
Qitao Tan
Xiaodong Yu
Zining Zhu
Geng Yuan
Shaoyi Huang
78
0
0
24 May 2025
SuperMerge: An Approach For Gradient-Based Model Merging
SuperMerge: An Approach For Gradient-Based Model Merging
Haoyu Yang
Zheng Zhang
Saket Sathe
MoMe
161
0
0
17 Feb 2025
Superpose Singular Features for Model Merging
Superpose Singular Features for Model Merging
Haiquan Qiu
You Wu
Quanming Yao
MoMe
106
0
0
15 Feb 2025
Do we really have to filter out random noise in pre-training data for language models?
Do we really have to filter out random noise in pre-training data for language models?
Jinghan Ru
Yuxin Xie
Xianwei Zhuang
Yuguo Yin
Zhihui Guo
Zhiming Liu
Qianli Ren
Yuexian Zou
119
4
0
10 Feb 2025
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction
Alexei Figueroa
Justus Westerhoff
Golzar Atefi
Dennis Fast
B. Winter
Felix Alexader Gers
Alexander Loser
Wolfang Nejdl
98
0
0
03 Feb 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
Haizhou Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDL
UQLM
129
8
0
28 Jan 2025
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
Amirmohammad Farzaneh
Osvaldo Simeone
220
0
0
22 Jan 2025
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
Gouki Minegishi
Hiroki Furuta
Yusuke Iwasawa
Y. Matsuo
76
2
0
09 Jan 2025
Weak-to-Strong Generalization Through the Data-Centric Lens
Weak-to-Strong Generalization Through the Data-Centric Lens
Changho Shin
John Cooper
Frederic Sala
116
7
0
05 Dec 2024
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
Tung-Yu Wu
Pei-Yu Lo
ReLM
LRM
61
2
0
02 Oct 2024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Zhe Li
Bicheng Ying
Zidong Liu
Chaosheng Dong
Haibo Yang
FedML
78
3
0
24 May 2024
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
853
93,936
0
11 Oct 2018
From Word to Sense Embeddings: A Survey on Vector Representations of
  Meaning
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
Jose Camacho-Collados
Mohammad Taher Pilehvar
44
337
0
10 May 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
88
11,520
0
15 Feb 2018
Towards a Seamless Integration of Word Senses into Downstream NLP
  Applications
Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Mohammad Taher Pilehvar
Jose Camacho-Collados
Roberto Navigli
Nigel Collier
32
46
0
18 Oct 2017
Making Sense of Word Embeddings
Making Sense of Word Embeddings
Maria Pelevina
Nikolay Arefiev
Chris Biemann
Alexander Panchenko
SSL
35
135
0
10 Aug 2017
Embedding Words and Senses Together via Joint Knowledge-Enhanced
  Training
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini
Jose Camacho-Collados
Ignacio Iacobacci
Roberto Navigli
42
78
0
08 Dec 2016
De-Conflated Semantic Representations
De-Conflated Semantic Representations
Mohammad Taher Pilehvar
Nigel Collier
NAI
45
92
0
05 Aug 2016
Efficient Non-parametric Estimation of Multiple Embeddings per Word in
  Vector Space
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space
Arvind Neelakantan
Jeevan Shankar
Alexandre Passos
Andrew McCallum
52
464
0
24 Apr 2015
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity
  Estimation
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation
Felix Hill
Roi Reichart
Anna Korhonen
66
1,302
0
15 Aug 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
264
33,445
0
16 Oct 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
524
31,406
0
16 Jan 2013
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