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Distributional semantics beyond words: Supervised learning of analogy
  and paraphrase

Distributional semantics beyond words: Supervised learning of analogy and paraphrase

18 October 2013
Peter D. Turney
    OffRL
    NAI
    CoGe
ArXivPDFHTML

Papers citing "Distributional semantics beyond words: Supervised learning of analogy and paraphrase"

7 / 7 papers shown
Title
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
Raj Sanjay Shah
Sashank Varma
LRM
89
0
0
22 Jan 2025
An Analysis on the Learning Rules of the Skip-Gram Model
An Analysis on the Learning Rules of the Skip-Gram Model
Canlin Zhang
Xiuwen Liu
Daniel Bis
NAI
28
11
0
18 Mar 2020
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
R. Speer
Joshua Chin
Catherine Havasi
62
2,856
0
12 Dec 2016
Question Answering via Integer Programming over Semi-Structured
  Knowledge
Question Answering via Integer Programming over Semi-Structured Knowledge
Daniel Khashabi
Tushar Khot
Ashish Sabharwal
Peter Clark
Oren Etzioni
Dan Roth
16
101
0
20 Apr 2016
Parallelizing Word2Vec in Shared and Distributed Memory
Parallelizing Word2Vec in Shared and Distributed Memory
Shihao Ji
N. Satish
Sheng Li
Pradeep Dubey
VLM
MoE
19
72
0
15 Apr 2016
Semantic Composition and Decomposition: From Recognition to Generation
Semantic Composition and Decomposition: From Recognition to Generation
Peter D. Turney
BDL
CoGe
53
14
0
30 May 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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