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SentEval: An Evaluation Toolkit for Universal Sentence Representations

SentEval: An Evaluation Toolkit for Universal Sentence Representations

International Conference on Language Resources and Evaluation (LREC), 2018
14 March 2018
Alexis Conneau
Douwe Kiela
ArXiv (abs)PDFHTML

Papers citing "SentEval: An Evaluation Toolkit for Universal Sentence Representations"

50 / 388 papers shown
Title
Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP
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Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models
Alena Fenogenova
Maria Tikhonova
Vladislav Mikhailov
Tatiana Shavrina
Anton A. Emelyanov
Denis Shevelev
Alexander Kukushkin
Valentin Malykh
Ekaterina Artemova
AAMLVLMELM
124
3
0
15 Feb 2022
Comparison and Combination of Sentence Embeddings Derived from Different
  Supervision Signals
Comparison and Combination of Sentence Embeddings Derived from Different Supervision Signals
Hayato Tsukagoshi
Ryohei Sasano
Koichi Takeda
113
8
0
07 Feb 2022
PCL: Peer-Contrastive Learning with Diverse Augmentations for
  Unsupervised Sentence Embeddings
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Qiyu Wu
Chongyang Tao
Tao Shen
Can Xu
Xiubo Geng
Daxin Jiang
SSL
131
47
0
28 Jan 2022
Pair-Level Supervised Contrastive Learning for Natural Language
  Inference
Pair-Level Supervised Contrastive Learning for Natural Language InferenceIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Shuang Li
Xuming Hu
Li Lin
Lijie Wen
164
32
0
26 Jan 2022
Text and Code Embeddings by Contrastive Pre-Training
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan
Tao Xu
Raul Puri
Alec Radford
Jesse Michael Han
...
Tabarak Khan
Toki Sherbakov
Joanne Jang
Peter Welinder
Lilian Weng
SSLAI4TS
563
528
0
24 Jan 2022
PromptBERT: Improving BERT Sentence Embeddings with Prompts
PromptBERT: Improving BERT Sentence Embeddings with PromptsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Ting Jiang
Jian Jiao
Shaohan Huang
Zi-qiang Zhang
Deqing Wang
Fuzhen Zhuang
Furu Wei
Haizhen Huang
Liangjie Zhang
Qi Zhang
213
147
0
12 Jan 2022
On Cross-Lingual Retrieval with Multilingual Text Encoders
On Cross-Lingual Retrieval with Multilingual Text Encoders
Robert Litschko
Ivan Vulić
Simone Paolo Ponzetto
Goran Glavaš
179
48
0
21 Dec 2021
Applying SoftTriple Loss for Supervised Language Model Fine Tuning
Applying SoftTriple Loss for Supervised Language Model Fine Tuning
Witold Sosnowski
Anna Wróblewska
P. Gawrysiak
70
1
0
15 Dec 2021
AI and the Everything in the Whole Wide World Benchmark
AI and the Everything in the Whole Wide World Benchmark
Inioluwa Deborah Raji
Emily M. Bender
Amandalynne Paullada
Emily L. Denton
A. Hanna
228
389
0
26 Nov 2021
Low Precision Decentralized Distributed Training over IID and non-IID
  Data
Low Precision Decentralized Distributed Training over IID and non-IID Data
Sai Aparna Aketi
Sangamesh Kodge
Kaushik Roy
MQ
99
10
0
17 Nov 2021
Exploiting all samples in low-resource sentence classification: early
  stopping and initialization parameters
Exploiting all samples in low-resource sentence classification: early stopping and initialization parametersIEEE Access (IEEE Access), 2021
Hongseok Choi
Hyunju Lee
106
6
0
12 Nov 2021
Transferring Semantic Knowledge Into Language Encoders
Transferring Semantic Knowledge Into Language Encoders
Mohammad Umair
Francis Ferraro
71
1
0
14 Oct 2021
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Xiangyang Liu
Tianxiang Sun
Junliang He
Jiawen Wu
Lingling Wu
Xinyu Zhang
Hao Jiang
Bo Zhao
Xuanjing Huang
Xipeng Qiu
ELM
199
55
0
13 Oct 2021
What Makes Sentences Semantically Related: A Textual Relatedness Dataset
  and Empirical Study
What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical StudyConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Mohamed Abdalla
Krishnapriya Vishnubhotla
Saif M. Mohammad
242
29
0
10 Oct 2021
The Inductive Bias of In-Context Learning: Rethinking Pretraining
  Example Design
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example DesignInternational Conference on Learning Representations (ICLR), 2021
Yoav Levine
Noam Wies
Daniel Jannai
D. Navon
Yedid Hoshen
Amnon Shashua
AI4CE
247
41
0
09 Oct 2021
Revisiting Self-Training for Few-Shot Learning of Language Model
Revisiting Self-Training for Few-Shot Learning of Language Model
Yiming Chen
Yan Zhang
Chen Zhang
Grandee Lee
Ran Cheng
Haizhou Li
130
45
0
04 Oct 2021
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Ilias Chalkidis
Abhik Jana
D. Hartung
M. Bommarito
Ion Androutsopoulos
Daniel Martin Katz
Nikolaos Aletras
AILawELM
450
353
0
03 Oct 2021
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
DialogueCSE: Dialogue-based Contrastive Learning of Sentence EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Che Liu
Rui Wang
Jinghua Liu
Jian Sun
Fei Huang
Luo Si
183
41
0
26 Sep 2021
A Temporal Variational Model for Story Generation
A Temporal Variational Model for Story Generation
David Wilmot
Frank Keller
DRL
199
10
0
14 Sep 2021
Tribrid: Stance Classification with Neural Inconsistency Detection
Tribrid: Stance Classification with Neural Inconsistency Detection
Song Yang
Jacopo Urbani
138
8
0
14 Sep 2021
STraTA: Self-Training with Task Augmentation for Better Few-shot
  Learning
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
Tu Vu
Minh-Thang Luong
Quoc V. Le
Grady Simon
Mohit Iyyer
358
62
0
13 Sep 2021
Pairwise Supervised Contrastive Learning of Sentence Representations
Pairwise Supervised Contrastive Learning of Sentence Representations
Dejiao Zhang
Shang-Wen Li
Wei Xiao
Henghui Zhu
Ramesh Nallapati
Andrew O. Arnold
Bing Xiang
SSL
236
56
0
12 Sep 2021
We went to look for meaning and all we got were these lousy
  representations: aspects of meaning representation for computational
  semantics
We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics
Simon Dobnik
R. Cooper
Adam Ek
Bill Noble
Staffan Larsson
N. Ilinykh
Vladislav Maraev
Vidya Somashekarappa
126
0
0
10 Sep 2021
A Simple and Effective Method To Eliminate the Self Language Bias in
  Multilingual Representations
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Ziyi Yang
Yinfei Yang
Daniel Cer
Eric F. Darve
180
26
0
10 Sep 2021
Augmenting BERT-style Models with Predictive Coding to Improve
  Discourse-level Representations
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Vladimir Araujo
Andrés Villa
Marcelo Mendoza
Marie-Francine Moens
Alvaro Soto
158
9
0
10 Sep 2021
PAUSE: Positive and Annealed Unlabeled Sentence Embedding
PAUSE: Positive and Annealed Unlabeled Sentence EmbeddingConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Le-le Cao
Emil Larsson
Vilhelm von Ehrenheim
Dhiana Deva Cavalcanti Rocha
Anna Martin
Sonja Horn
106
5
0
07 Sep 2021
Contrastive Representation Learning for Exemplar-Guided Paraphrase
  Generation
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation
Haoran Yang
W. Lam
Pijian Li
135
17
0
03 Sep 2021
Aligning Cross-lingual Sentence Representations with Dual Momentum
  Contrast
Aligning Cross-lingual Sentence Representations with Dual Momentum ContrastConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Liang Wang
Wei Zhao
Jingming Liu
144
14
0
01 Sep 2021
LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text
  Understanding and Generation
LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and GenerationTransactions of the Association for Computational Linguistics (TACL), 2021
Jian Guan
Zhuoer Feng
Yamei Chen
Ru He
Xiaoxi Mao
Changjie Fan
Shiyu Huang
189
34
0
30 Aug 2021
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text
  Models
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
Jianmo Ni
Gustavo Hernández Ábrego
Noah Constant
Ji Ma
Keith B. Hall
Daniel Cer
Yinfei Yang
507
694
0
19 Aug 2021
Czech News Dataset for Semantic Textual Similarity
Czech News Dataset for Semantic Textual Similarity
Jakub Sido
Michal Seják
O. Pražák
Miloslav Konopík
Václav Moravec
200
4
0
19 Aug 2021
Adversarial Training Helps Transfer Learning via Better Representations
Adversarial Training Helps Transfer Learning via Better RepresentationsNeural Information Processing Systems (NeurIPS), 2021
Zhun Deng
Linjun Zhang
Kailas Vodrahalli
Kenji Kawaguchi
James Zou
GAN
171
58
0
18 Jun 2021
pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks
pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks
Juan Manuel Pérez
Mariela Rajngewerc
Juan Carlos Giudici
D. Furman
Franco Luque
Laura Alonso Alemany
María Vanina Martínez
192
51
0
17 Jun 2021
On the proper role of linguistically-oriented deep net analysis in
  linguistic theorizing
On the proper role of linguistically-oriented deep net analysis in linguistic theorizing
Marco Baroni
207
60
0
16 Jun 2021
Semantic sentence similarity: size does not always matter
Semantic sentence similarity: size does not always matter
Danny Merkx
S. Frank
M. Ernestus
109
6
0
16 Jun 2021
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Ningyu Zhang
Mosha Chen
Zhen Bi
Xiaozhuan Liang
Lei Li
...
Jun Yan
Hongying Zan
Kunli Zhang
Buzhou Tang
Qingcai Chen
LM&MAELM
320
217
0
15 Jun 2021
Sentence Embeddings using Supervised Contrastive Learning
Sentence Embeddings using Supervised Contrastive Learning
Danqi Liao
SSL
58
12
0
09 Jun 2021
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding
  Evaluation
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation
Linjie Li
Jie Lei
Zhe Gan
Licheng Yu
Yen-Chun Chen
...
Tamara L. Berg
Joey Tianyi Zhou
Jingjing Liu
Lijuan Wang
Zicheng Liu
VLM
227
117
0
08 Jun 2021
BERT Learns to Teach: Knowledge Distillation with Meta Learning
BERT Learns to Teach: Knowledge Distillation with Meta LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Wangchunshu Zhou
Canwen Xu
Julian McAuley
239
102
0
08 Jun 2021
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared
  Hypernetworks
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared HypernetworksAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Rabeeh Karimi Mahabadi
Sebastian Ruder
Mostafa Dehghani
James Henderson
MoE
247
343
0
08 Jun 2021
Self-Guided Contrastive Learning for BERT Sentence Representations
Self-Guided Contrastive Learning for BERT Sentence RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Taeuk Kim
Kang Min Yoo
Sang-goo Lee
SSL
225
214
0
03 Jun 2021
Discrete Cosine Transform as Universal Sentence Encoder
Discrete Cosine Transform as Universal Sentence EncoderAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Nada AlMarwani
Mona T. Diab
113
2
0
02 Jun 2021
NewsEmbed: Modeling News through Pre-trained Document Representations
NewsEmbed: Modeling News through Pre-trained Document RepresentationsKnowledge Discovery and Data Mining (KDD), 2021
Jialu Liu
Tianqi Liu
Cong Yu
VLM
303
12
0
01 Jun 2021
On the Interplay Between Fine-tuning and Composition in Transformers
On the Interplay Between Fine-tuning and Composition in TransformersFindings (Findings), 2021
Lang-Chi Yu
Allyson Ettinger
198
14
0
31 May 2021
Predictive Representation Learning for Language Modeling
Predictive Representation Learning for Language Modeling
Qingfeng Lan
Luke N. Kumar
Martha White
Alona Fyshe
OffRLAI4TS
128
1
0
29 May 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence
  Representation Transfer
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation TransferAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Yuanmeng Yan
Rumei Li
Sirui Wang
Fuzheng Zhang
Wei Wu
Weiran Xu
SSL
220
605
0
25 May 2021
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text
  Representations Without Parallel Corpora
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel CorporaAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Mikhail Fain
Niall Twomey
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136
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DefSent: Sentence Embeddings using Definition Sentences
DefSent: Sentence Embeddings using Definition SentencesAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Hayato Tsukagoshi
Ryohei Sasano
Koichi Takeda
123
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Teaching a Massive Open Online Course on Natural Language Processing
Teaching a Massive Open Online Course on Natural Language Processing
Ekaterina Artemova
M. Apishev
V. Sarkisyan
Sergey Aksenov
D. Kirjanov
O. Serikov
VLM
152
4
0
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SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE: Simple Contrastive Learning of Sentence EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Tianyu Gao
Xingcheng Yao
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AILawSSL
709
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0
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