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De-Conflated Semantic Representations

De-Conflated Semantic Representations

5 August 2016
Mohammad Taher Pilehvar
Nigel Collier
    NAI
ArXivPDFHTML

Papers citing "De-Conflated Semantic Representations"

10 / 10 papers shown
Title
Dimensions underlying the representational alignment of deep neural networks with humans
Dimensions underlying the representational alignment of deep neural networks with humans
F. Mahner
Lukas Muttenthaler
Umut Güçlü
M. Hebart
48
4
0
28 Jan 2025
Distributed Representations of Atoms and Materials for Machine Learning
Distributed Representations of Atoms and Materials for Machine Learning
Luis M. Antunes
R. Grau‐Crespo
K. Butler
AI4CE
16
26
0
30 Jul 2021
LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and
  Beyond
LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and Beyond
Daniel Loureiro
A. Jorge
Jose Camacho-Collados
35
26
0
26 May 2021
Enhanced word embeddings using multi-semantic representation through
  lexical chains
Enhanced word embeddings using multi-semantic representation through lexical chains
Terry Ruas
C. H. P. Ferreira
W. Grosky
F. O. França
D. D. Medeiros
18
18
0
22 Jan 2021
Multi-sense embeddings through a word sense disambiguation process
Multi-sense embeddings through a word sense disambiguation process
Terry Ruas
W. Grosky
Akiko Aizawa
11
40
0
21 Jan 2021
Textual Visual Semantic Dataset for Text Spotting
Textual Visual Semantic Dataset for Text Spotting
Ahmed Sabir
Francesc Moreno-Noguer
Lluís Padró
19
3
0
21 Apr 2020
Multi-sense Definition Modeling using Word Sense Decompositions
Multi-sense Definition Modeling using Word Sense Decompositions
Ruimin Zhu
Thanapon Noraset
Alisa Liu
Wenxin Jiang
Doug Downey
9
9
0
19 Sep 2019
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive
  Meaning Representations
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations
Mohammad Taher Pilehvar
Jose Camacho-Collados
14
468
0
28 Aug 2018
Learning Graph Embeddings from WordNet-based Similarity Measures
Learning Graph Embeddings from WordNet-based Similarity Measures
Andrey Kutuzov
M. Dorgham
Oleksiy Oliynyk
Chris Biemann
Alexander Panchenko
GNN
15
17
0
16 Aug 2018
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
110
2,981
0
04 Mar 2010
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