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Learning Distributed Word Representations for Natural Logic Reasoning

Learning Distributed Word Representations for Natural Logic Reasoning

15 October 2014
Samuel R. Bowman
Christopher Potts
Christopher D. Manning
    NAI
ArXiv (abs)PDFHTML

Papers citing "Learning Distributed Word Representations for Natural Logic Reasoning"

9 / 9 papers shown
Title
Bridging Compositional and Distributional Semantics: A Survey on Latent Semantic Geometry via AutoEncoder
Bridging Compositional and Distributional Semantics: A Survey on Latent Semantic Geometry via AutoEncoder
Yingji Zhang
Danilo S. Carvalho
André Freitas
CoGe
296
0
0
25 Jun 2025
Logic, Language, and Calculus
Logic, Language, and Calculus
Florian Richter
142
0
0
06 Jul 2020
Representation Learning for Words and Entities
Representation Learning for Words and Entities
Pushpendre Rastogi
SSL
148
0
0
12 Jun 2019
Ontology Reasoning with Deep Neural Networks
Ontology Reasoning with Deep Neural Networks
Patrick Hohenecker
Thomas Lukasiewicz
NAI
242
101
0
24 Aug 2018
Neural models of factuality
Neural models of factuality
Rachel Rudinger
Aaron Steven White
Benjamin Van Durme
146
87
0
06 Apr 2018
On the Effective Use of Pretraining for Natural Language Inference
On the Effective Use of Pretraining for Natural Language Inference
Ignacio Cases
Minh-Thang Luong
Christopher Potts
119
6
0
05 Oct 2017
Path-based vs. Distributional Information in Recognizing Lexical
  Semantic Relations
Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations
Vered Shwartz
Ido Dagan
162
30
0
17 Aug 2016
Semi-supervised Vocabulary-informed Learning
Semi-supervised Vocabulary-informed Learning
Yanwei Fu
Leonid Sigal
VLM
171
134
0
24 Apr 2016
Mathematical Foundations for a Compositional Distributional Model of
  Meaning
Mathematical Foundations for a Compositional Distributional Model of Meaning
B. Coecke
M. Sadrzadeh
S. Clark
CoGe
320
591
0
23 Mar 2010
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