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Representing Meaning with a Combination of Logical and Distributional
  Models
v1v2v3v4v5 (latest)

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
ArXiv (abs)PDFHTML

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

17 / 17 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
LRMNAI
75
14
0
18 Sep 2021
NeuralLog: Natural Language Inference with Joint Neural and Logical
  Reasoning
NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning
Zeming Chen
Qiyue Gao
Lawrence S. Moss
FedMLNAI
86
42
0
29 May 2021
Distributional Formal Semantics
Distributional Formal Semantics
Noortje J. Venhuizen
P. Hendriks
M. Crocker
Harm Brouwer
NAI
48
4
0
02 Mar 2021
What are the Goals of Distributional Semantics?
What are the Goals of Distributional Semantics?
Guy Edward Toh Emerson
91
26
0
06 May 2020
MonaLog: a Lightweight System for Natural Language Inference Based on
  Monotonicity
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity
Hai Hu
Qi Chen
Kyle Richardson
A. Mukherjee
L. Moss
Sandra Kübler
68
41
0
19 Oct 2019
A Structured Distributional Model of Sentence Meaning and Processing
A Structured Distributional Model of Sentence Meaning and Processing
Emmanuele Chersoni
Enrico Santus
Ludovica Pannitto
Alessandro Lenci
P. Blache
Chu-Ren Huang
51
18
0
17 Jun 2019
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
42
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
55
85
0
12 May 2018
Acquisition of Phrase Correspondences using Natural Deduction Proofs
Acquisition of Phrase Correspondences using Natural Deduction Proofs
Hitomi Yanaka
K. Mineshima
Pascual Martínez-Gómez
D. Bekki
45
22
0
20 Apr 2018
Towards Universal Semantic Tagging
Towards Universal Semantic Tagging
Lasha Abzianidze
Johan Bos
72
41
0
29 Sep 2017
Semantic Composition via Probabilistic Model Theory
Semantic Composition via Probabilistic Model Theory
Guy Edward Toh Emerson
Ann A. Copestake
CoGe
58
15
0
01 Sep 2017
Variational Inference for Logical Inference
Variational Inference for Logical Inference
Guy Edward Toh Emerson
Ann A. Copestake
NAI
60
7
0
01 Sep 2017
End-to-End Differentiable Proving
End-to-End Differentiable Proving
Tim Rocktaschel
Sebastian Riedel
NAI
124
382
0
31 May 2017
Universal Semantic Parsing
Universal Semantic Parsing
Siva Reddy
Oscar Täckström
Slav Petrov
Mark Steedman
Mirella Lapata
54
106
0
10 Feb 2017
Ordinal Common-sense Inference
Ordinal Common-sense Inference
Sheng Zhang
Rachel Rudinger
Kevin Duh
Benjamin Van Durme
LRM
92
121
0
02 Nov 2016
Towards Universal Paraphrastic Sentence Embeddings
Towards Universal Paraphrastic Sentence Embeddings
John Wieting
Joey Tianyi Zhou
Kevin Gimpel
Karen Livescu
AI4TS
203
555
0
25 Nov 2015
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
139
569
0
23 Mar 2010
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