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A La Carte Embedding: Cheap but Effective Induction of Semantic Feature
  Vectors

A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors

14 May 2018
M. Khodak
Nikunj Saunshi
Yingyu Liang
Tengyu Ma
Brandon M Stewart
Sanjeev Arora
ArXivPDFHTML

Papers citing "A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors"

5 / 5 papers shown
Title
How to choose "Good" Samples for Text Data Augmentation
How to choose "Good" Samples for Text Data Augmentation
Xiaotian Lin
Nankai Lin
Yingwen Fu
Ziyu Yang
Shengyi Jiang
25
2
0
02 Feb 2023
Using dependency parsing for few-shot learning in distributional
  semantics
Using dependency parsing for few-shot learning in distributional semantics
S. Preda
Guy Edward Toh Emerson
16
0
0
12 May 2022
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding
Jinman Zhao
Shawn Zhong
Xiaomin Zhang
Yingyu Liang
BDL
29
5
0
21 Oct 2020
Attentive Mimicking: Better Word Embeddings by Attending to Informative
  Contexts
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts
Timo Schick
Hinrich Schütze
14
47
0
02 Apr 2019
Joint Learning of the Embedding of Words and Entities for Named Entity
  Disambiguation
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
Ikuya Yamada
Hiroyuki Shindo
Hideaki Takeda
Yoshiyasu Takefuji
105
317
0
06 Jan 2016
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