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ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
TLDR
We present here a new version of the linked open data resource ConceptNet that is particularly well suited to be used with modern NLP techniques such as word embeddings. Expand
Representing General Relational Knowledge in ConceptNet 5
TLDR
ConceptNet is a knowledge representation project, providing a large semantic graph that describes general human knowledge and how it is expressed in natural language. Expand
ConceptNet 5: A Large Semantic Network for Relational Knowledge
TLDR
ConceptNet is a knowledge representation project, providing a large semantic graph that describes general human knowledge and how it is expressed in natural language. Expand
SenticNet: A Publicly Available Semantic Resource for Opinion Mining
TLDR
We developed SenticNet, a publicly available semantic resource for opinion mining built using common sense reasoning techniques together with an emotion categorization model and an ontology. Expand
AnalogySpace: Reducing the Dimensionality of Common Sense Knowledge
TLDR
We are interested in the problem of reasoning over very large common sense knowledge bases. Expand
ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge
TLDR
This paper describes Luminoso's participation in SemEval 2017 Task 2, "Multilingual and Cross-lingual Semantic Word Similarity", with a system based on ConceptNet. Expand
An Ensemble Method to Produce High-Quality Word Embeddings
TLDR
We present an ensemble method that combines embeddings produced by GloVe and word2vec with structured knowledge from the semantic networks ConceptNet (Speer and Havasi, 2012) and PPDB (Ganitkevitch et al., 2013), merging their information into a common representation with a large, multilingual vocabulary. Expand
Automated Color Selection Using Semantic Knowledge
TLDR
Colorizer is a program that hypothesizes color values that represent a given word or sentence, taking into account both physical descriptions of objects and their emotional connotations. Expand
ConceptNet 5
TLDR
ConceptNet is a knowledge representation project, providing a large semantic graph that describes general human knowledge and how it is expressed in natural language. Expand
Modeling Verb Lexicalization Biases using Hierarchical Bayesian Models
TLDR
We propose a hierarchical Bayesian model of verb lexicalization biases that can be used to predict the responses of subjects in the experiment with more accuracy than before. Expand
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