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2408.01308
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Reconsidering Token Embeddings with the Definitions for Pre-trained Language Models
2 August 2024
Ying Zhang
Zhuoran Liu
Manabu Okumura
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Papers citing
"Reconsidering Token Embeddings with the Definitions for Pre-trained Language Models"
16 / 16 papers shown
Title
Lacking the embedding of a word? Look it up into a traditional dictionary
Elena Sofia Ruzzetti
Leonardo Ranaldi
Michele Mastromattei
Francesca Fallucchi
Fabio Massimo Zanzotto
51
15
0
24 Sep 2021
BillSum: A Corpus for Automatic Summarization of US Legislation
Anastassia Kornilova
Vladimir Eidelman
AILaw
60
156
0
01 Oct 2019
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
576
2,673
0
03 Sep 2019
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization
Eva Sharma
Chen Li
Lu Wang
AILaw
75
223
0
10 Jun 2019
Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking
Timo Schick
Hinrich Schütze
59
97
0
14 Apr 2019
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts
Timo Schick
Hinrich Schütze
63
49
0
02 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLM
FaML
111
3,156
0
01 Apr 2019
FRAGE: Frequency-Agnostic Word Representation
Chengyue Gong
Di He
Xu Tan
Tao Qin
Liwei Wang
Tie-Yan Liu
OOD
64
144
0
18 Sep 2018
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
146
1,682
0
27 Aug 2018
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
1.1K
7,182
0
20 Apr 2018
Learning to Compute Word Embeddings On the Fly
Dzmitry Bahdanau
Tom Bosc
Stanislaw Jastrzebski
Edward Grefenstette
Pascal Vincent
Yoshua Bengio
77
83
0
01 Jun 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
905
6,796
0
26 Sep 2016
Using the Output Embedding to Improve Language Models
Ofir Press
Lior Wolf
79
736
0
20 Aug 2016
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
224
7,755
0
31 Aug 2015
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
347
3,551
0
10 Jun 2015
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation
Felix Hill
Roi Reichart
Anna Korhonen
101
1,303
0
15 Aug 2014
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