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No Training Required: Exploring Random Encoders for Sentence
  Classification

No Training Required: Exploring Random Encoders for Sentence Classification

29 January 2019
John Wieting
Douwe Kiela
ArXivPDFHTML

Papers citing "No Training Required: Exploring Random Encoders for Sentence Classification"

19 / 69 papers shown
Title
Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge
  with Competitive Baselines
Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines
Łukasz Borchmann
Dawid Wisniewski
Andrzej Gretkowski
Izabela Kosmala
Dawid Jurkiewicz
Lukasz Szalkiewicz
Gabriela Pałka
Karol Kaczmarek
Agnieszka Kaliska
Filip Graliñski
AILaw
22
0
0
10 Nov 2019
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity
Nina Poerner
Ulli Waltinger
Hinrich Schütze
AI4TS
27
20
0
09 Nov 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding
Adversarial NLI: A New Benchmark for Natural Language Understanding
Yixin Nie
Adina Williams
Emily Dinan
Joey Tianyi Zhou
Jason Weston
Douwe Kiela
28
977
0
31 Oct 2019
Neural Language Priors
Neural Language Priors
Joseph Enguehard
Dan Busbridge
V. Zhelezniak
Nils Y. Hammerla
31
3
0
04 Oct 2019
Deep Contextualized Pairwise Semantic Similarity for Arabic Language
  Questions
Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions
Hesham Al-Bataineh
Wael Farhan
Ahmad Mustafa
Haitham Seelawi
Hussein T. Al-Natsheh
24
16
0
19 Sep 2019
NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic
NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic
Haitham Seelawi
Ahmad Mustafa
Hesham Al-Bataineh
Wael Farhan
Hussein T. Al-Natsheh
18
17
0
12 Sep 2019
Learning Compressed Sentence Representations for On-Device Text
  Processing
Learning Compressed Sentence Representations for On-Device Text Processing
Dinghan Shen
Pengyu Cheng
Dhanasekar Sundararaman
Xinyuan Zhang
Qian Yang
Meng Tang
Asli Celikyilmaz
Lawrence Carin
18
22
0
19 Jun 2019
Pitfalls in the Evaluation of Sentence Embeddings
Pitfalls in the Evaluation of Sentence Embeddings
Steffen Eger
Andreas Rucklé
Iryna Gurevych
ELM
12
17
0
04 Jun 2019
Strong and Simple Baselines for Multimodal Utterance Embeddings
Strong and Simple Baselines for Multimodal Utterance Embeddings
Paul Pu Liang
Y. Lim
Yao-Hung Hubert Tsai
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
32
30
0
14 May 2019
An Evaluation of Transfer Learning for Classifying Sales Engagement
  Emails at Large Scale
An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large Scale
Yong Liu
Pavel A. Dmitriev
Yifei Huang
Andrew Brooks
Li Dong
14
4
0
19 Apr 2019
Evaluating the Representational Hub of Language and Vision Models
Evaluating the Representational Hub of Language and Vision Models
Ravi Shekhar
Ece Takmaz
Raquel Fernández
Raffaella Bernardi
30
11
0
12 Apr 2019
Gating Mechanisms for Combining Character and Word-level Word
  Representations: An Empirical Study
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study
Jorge A. Balazs
Y. Matsuo
AI4CE
NAI
19
3
0
11 Apr 2019
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix
  Space Model
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
Florian Mai
Lukas Galke
A. Scherp
15
14
0
18 Feb 2019
PAC-Bayes Analysis of Sentence Representation
PAC-Bayes Analysis of Sentence Representation
Kento Nozawa
Issei Sato
19
3
0
12 Feb 2019
Understanding Learning Dynamics Of Language Models with SVCCA
Understanding Learning Dynamics Of Language Models with SVCCA
Naomi Saphra
Adam Lopez
10
94
0
01 Nov 2018
Exploiting Invertible Decoders for Unsupervised Sentence Representation
  Learning
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning
Shuai Tang
V. D. Sa
SSL
13
1
0
08 Sep 2018
What the Vec? Towards Probabilistically Grounded Embeddings
What the Vec? Towards Probabilistically Grounded Embeddings
Carl Allen
Ivana Balazevic
Timothy M. Hospedales
14
23
0
30 May 2018
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,984
0
20 Apr 2018
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