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Representing Meaning with a Combination of Logical and Distributional
  Models

Representing Meaning with a Combination of Logical and Distributional Models

26 May 2015
Iz Beltagy
Stephen Roller
Pengxiang Cheng
K. Erk
Raymond J. Mooney
    NAI
ArXivPDFHTML

Papers citing "Representing Meaning with a Combination of Logical and Distributional Models"

7 / 7 papers shown
Title
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Zijun Wu
Zi Xuan Zhang
Atharva Naik
Zhijian Mei
Mauajama Firdaus
Lili Mou
LRM
NAI
44
14
0
18 Sep 2021
EAT: a simple and versatile semantic representation format for
  multi-purpose NLP
EAT: a simple and versatile semantic representation format for multi-purpose NLP
Tommi Gröndahl
19
2
0
25 Feb 2019
AdvEntuRe: Adversarial Training for Textual Entailment with
  Knowledge-Guided Examples
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Dongyeop Kang
Tushar Khot
Ashish Sabharwal
Eduard H. Hovy
GAN
19
84
0
12 May 2018
Towards Universal Semantic Tagging
Towards Universal Semantic Tagging
Lasha Abzianidze
Johan Bos
16
41
0
29 Sep 2017
Towards Universal Paraphrastic Sentence Embeddings
Towards Universal Paraphrastic Sentence Embeddings
John Wieting
Joey Tianyi Zhou
Kevin Gimpel
Karen Livescu
AI4TS
30
552
0
25 Nov 2015
The Frobenius anatomy of word meanings I: subject and object relative
  pronouns
The Frobenius anatomy of word meanings I: subject and object relative pronouns
M. Sadrzadeh
S. Clark
B. Coecke
41
107
0
21 Apr 2014
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
110
2,982
0
04 Mar 2010
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