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1612.03975
Cited By
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
12 December 2016
R. Speer
Joshua Chin
Catherine Havasi
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Papers citing
"ConceptNet 5.5: An Open Multilingual Graph of General Knowledge"
50 / 1,207 papers shown
Title
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Jianshu Chen
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Vector representations of text data in deep learning
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Weijia Shi
Yizhou Sun
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Jonathan Herzig
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Svetlana Lazebnik
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Xiaoyang Wang
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Michael Witbrock
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Pavan Kapanipathi
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Semantically Enhanced Models for Commonsense Knowledge Acquisition
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13
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27
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Expansional Retrofitting for Word Vector Enrichment
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Applying the Closed World Assumption to SUMO-based FOL Ontologies for Effective Commonsense Reasoning
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Itziar Gonzalez-Dios
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Yingtao Tian
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Concurrent Learning of Semantic Relations
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Massih-Reza Amini
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Aditya Vempaty
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Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment
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R. Speer
Joanna Lowry-Duda
8
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Emotion Detection in Text: a Review
Armin Seyeditabari
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Wlodek Zadrozny
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From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the Compatibility between Vector Space Representations and Rules
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Enrico Mariconti
Guillermo Suarez-Tangil
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Ilias Leontiadis
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Anette Frank
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Neural language representations predict outcomes of scientific research
James P. Bagrow
Daniel Berenberg
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Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks
Chandrakant Bothe
S. Magg
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NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake
S. Kiritchenko
Saif M. Mohammad
J. Morin
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17
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Cross-lingual Document Retrieval using Regularized Wasserstein Distance
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Charlotte Laclau
I. Redko
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Mohammad Taher Pilehvar
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Hierarchical Density Order Embeddings
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A. Wilson
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Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons
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Stanley Jungkyu Choi
14
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LightRel SemEval-2018 Task 7: Lightweight and Fast Relation Classification
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Linking ImageNet WordNet Synsets with Wikidata
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Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension
Liang Wang
Meng Sun
Wei-Ye Zhao
Kewei Shen
Jingming Liu
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Can Network Embedding of Distributional Thesaurus be Combined with Word Vectors for Better Representation?
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Pawan Goyal
NAI
11
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