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1607.02789
Cited By
Charagram: Embedding Words and Sentences via Character n-grams
10 July 2016
John Wieting
Mohit Bansal
Kevin Gimpel
Karen Livescu
NAI
GNN
Re-assign community
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Papers citing
"Charagram: Embedding Words and Sentences via Character n-grams"
23 / 23 papers shown
Title
Efficient Entity Candidate Generation for Low-Resource Languages
Alberto García-Durán
Akhil Arora
Robert West
17
0
0
30 Jun 2022
1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task
Zhiyong Wang
Ge Zhang
Nineli Lashkarashvili
16
3
0
08 Jun 2022
Dynamic Language Models for Continuously Evolving Content
Spurthi Amba Hombaiah
Tao Chen
Mingyang Zhang
Michael Bendersky
Marc Najork
CLL
KELM
34
37
0
11 Jun 2021
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
J. Clark
Dan Garrette
Iulia Turc
John Wieting
27
210
0
11 Mar 2021
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding
Jinman Zhao
Shawn Zhong
Xiaomin Zhang
Yingyu Liang
BDL
31
5
0
21 Oct 2020
Simple and Effective Paraphrastic Similarity from Parallel Translations
John Wieting
Kevin Gimpel
Graham Neubig
Taylor Berg-Kirkpatrick
22
49
0
30 Sep 2019
Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition
Genta Indra Winata
Zhaojiang Lin
Jamin Shin
Zihan Liu
Pascale Fung
23
19
0
18 Sep 2019
Terminology-based Text Embedding for Computing Document Similarities on Technical Content
Hamid Mirisaee
Éric Gaussier
Cédric Lagnier
Agnès Guerraz
11
3
0
05 Jun 2019
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts
Timo Schick
Hinrich Schütze
17
47
0
02 Apr 2019
Learning Semantic Representations for Novel Words: Leveraging Both Form and Context
Timo Schick
Hinrich Schütze
AI4TS
NAI
22
33
0
09 Nov 2018
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation
Akiko Eriguchi
Melvin Johnson
Orhan Firat
Hideto Kazawa
Wolfgang Macherey
20
62
0
12 Sep 2018
Incorporating Chinese Characters of Words for Lexical Sememe Prediction
Huiming Jin
Hao Zhu
Zhiyuan Liu
Ruobing Xie
Maosong Sun
Fen Lin
Leyu Lin
20
27
0
17 Jun 2018
Dynamic Meta-Embeddings for Improved Sentence Representations
Douwe Kiela
Changhan Wang
Kyunghyun Cho
AI4TS
22
108
0
21 Apr 2018
NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning
Christos Baziotis
Athanasiou Nikolaos
Alexandra Chronopoulou
Athanasia Kolovou
Georgios Paraskevopoulos
Nikolaos Ellinas
Shrikanth Narayanan
Alexandros Potamianos
25
124
0
18 Apr 2018
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian
Adam Trischler
Yoshua Bengio
C. Pal
SSL
24
328
0
30 Mar 2018
SentEval: An Evaluation Toolkit for Universal Sentence Representations
Alexis Conneau
Douwe Kiela
37
630
0
14 Mar 2018
Mimicking Word Embeddings using Subword RNNs
Yuval Pinter
Robert Guthrie
Jacob Eisenstein
27
158
0
21 Jul 2017
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
N. Mrksic
Ivan Vulić
Diarmuid Ó Séaghdha
Ira Leviant
Roi Reichart
Milica Gasic
Anna Korhonen
S. Young
15
224
0
01 Jun 2017
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau
Douwe Kiela
Holger Schwenk
Loïc Barrault
Antoine Bordes
AI4TS
SSL
16
2,093
0
05 May 2017
Neural Paraphrase Identification of Questions with Noisy Pretraining
Gaurav Singh Tomar
Thyago Duque
Oscar Täckström
Jakob Uszkoreit
Dipanjan Das
13
77
0
15 Apr 2017
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF
Yan Shao
Christian Hardmeier
Jörg Tiedemann
Joakim Nivre
21
106
0
05 Apr 2017
Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features
Matteo Pagliardini
Prakhar Gupta
Martin Jaggi
SSL
15
692
0
07 Mar 2017
Impact of Power System Partitioning on the Efficiency of Distributed Multi-Step Optimization
Dongliang Chen
A. Bucchiarone
Zhihan Lv
15
12
0
31 May 2016
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