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CONCEPTNET 5: WORD
word is a type of. en a piece of a sentence . en language unit ( n, communication ) . en order ( n, military ) . en statement ( n, communication ) . en computer memory unit ( n, quantity ) . en bond" implies . en a meaningful sound of speech . en a sequence of letters . CONCEPTNET 5: OXIMETER ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: DOG
ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: CONTACT JUGGLING ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: CAT
cat is a type of. en feline ( n, animal ) . en gossip ( n, person ) . en woman ( n, person ) . en an acronym for computerized axial tomography . en Animal . en Bad luck CONCEPTNET 5: QUERY RESULTS ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
HOW TO MAKE A RACIST AI WITHOUT REALLY TRYING Software dependencies¶ ¶. This tutorial is written in Python, and relies on a typical Python machine-learning stack: numpy and scipy for numerical computing, pandas for managing our data, and scikit-learn for machine learning. Later on we’ll graph some things with matplotlib and seaborn.. You could also replace scikit-learn with TensorFlow or Keras or something like that, as they can also FIXING COMMON UNICODE MISTAKES WITH PYTHON €“ AFTER THEY Fixing common Unicode mistakes with Python – after they’ve been made. Update: Not only can you fix Unicode mistakes with Python, you can fix Unicode mistakes with our open source Python package, “ftfy”. You have almost certainly seen text on a computer that looks something like this: Somewhere, a computer got hold of a list of CONCEPTNETBLOGSEMANTIC NETWORKEXTERNALURLAPI.CONCEPTNET.IO LD CONCEPTNET5.7 CONTEXT.LD.JSONWORD ConceptNet is a freely-available semantic network, designed to help computers understand the meanings of words that people use. ConceptNet originated from the crowdsourcing project Open Mind Common Sense, which was launched in 1999 at the MIT Media Lab. It has since grown to include knowledge from other crowdsourced resources, expert-created CONCEPTNET 5: DOWNLOAD ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: WORD
word is a type of. en a piece of a sentence . en language unit ( n, communication ) . en order ( n, military ) . en statement ( n, communication ) . en computer memory unit ( n, quantity ) . en bond" implies . en a meaningful sound of speech . en a sequence of letters . CONCEPTNET 5: OXIMETER ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: DOG
ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: CONTACT JUGGLING ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: CAT
cat is a type of. en feline ( n, animal ) . en gossip ( n, person ) . en woman ( n, person ) . en an acronym for computerized axial tomography . en Animal . en Bad luck CONCEPTNET 5: QUERY RESULTS ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
HOW TO MAKE A RACIST AI WITHOUT REALLY TRYING Software dependencies¶ ¶. This tutorial is written in Python, and relies on a typical Python machine-learning stack: numpy and scipy for numerical computing, pandas for managing our data, and scikit-learn for machine learning. Later on we’ll graph some things with matplotlib and seaborn.. You could also replace scikit-learn with TensorFlow or Keras or something like that, as they can also FIXING COMMON UNICODE MISTAKES WITH PYTHON €“ AFTER THEY Fixing common Unicode mistakes with Python – after they’ve been made. Update: Not only can you fix Unicode mistakes with Python, you can fix Unicode mistakes with our open source Python package, “ftfy”. You have almost certainly seen text on a computer that looks something like this: Somewhere, a computer got hold of a list of CONCEPTNET 5: MAKING BEAUTIFUL SOUNDS ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: OXIMETER ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: CITY
ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: AIR DRUMMING ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: PERSISTENTLY AND POINTLESSLY ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: ENTEROBACTERIA PHAGE T4 ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: SCREEN Links to other resources. umbel.org /umbel/sc/Screen_Mesh umbel.org /umbel/sc/VisualDisplayScreen umbel.org /umbel/sc/WindowScreen sw.opencyc.org /2012/05/10/concept CONCEPTNET 5: WASTE BINS ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: CLEAN AND JERK ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET 5: NIKOLA TESLA ConceptNet 5 is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.If you use it in research, please cite this AAAI paper. See Copying and Sharing ConceptNet for more details.Copying and Sharing ConceptNet for moredetails.
CONCEPTNET
AN OPEN, MULTILINGUAL KNOWLEDGE GRAPH* Documentation
* FAQ
* Chat
* Blog
* Documentation
* FAQ
* Chat
* Blog
English Chinese Dutch French German Italian Japanese Portuguese Russian Spanish Afrikaans Albanian Ancient Greek Arabic Armenian Aromanian Asturian Azerbaijani Basque Belarusian Bulgarian Catalan Chinese Classical Armenian Czech Danish Dutch English Esperanto Estonian Faroese Filipino Finnish French Galician Georgian German Greek Hebrew Hindi Hungarian Icelandic Ido Indonesian Irish Italian Japanese Jèrriais Kazakh Korean Kurdish Latin Latvian Lithuanian Macedonian Malagasy Malay Manx Navajo Northern Sami Norwegian Occitan Old English Old French Old Norse Persian Polish Portuguese Romanian Russian Sanskrit Scottish Gaelic Serbo-Croatian Slovak Slovenian Spanish Swahili Swedish Tamil Telugu Thai Turkish Ukrainian Upper Sorbian Urdu Vietnamese Volapük WelshSearch
WHAT IS CONCEPTNET?
CONCEPTNET is a freely-available semantic network, designed to help computers understand the meanings of words that people use. ConceptNet originated from the crowdsourcing project Open Mind Common Sense, which was launched in 1999 at the MIT Media Lab. It has since grown to include knowledge from other crowdsourced resources, expert-created resources, and games with a purpose. semantic network knowledge graphis a
natural languageunderstanding artificialintelligence word embeddingsis used for
part of part of linked data made of multilingual domain-general the SemanticWeb similar to JSON-LD Web APIa kind of is
used for open content has a has property multilíngue 多言語 synonym synonym synonym common senseknowledge has part of let computers understand what people already know motivated by goal games with apurpose lexicography crowdsourcedknowledge ConceptNetEXAMPLES
To explore what's in ConceptNet, try browsing what it knows about anyof these terms:
* en word
* fr mot
* nl woord
* es palabra
* pt palavra
* ja 単語
* en graph
* en knowledge
* en learn
* en natural language * en semantic network* mul 💡
WORD VECTORS AND RECENT PUBLICATIONS ConceptNet is used to create word embeddings--
representations of word meanings as vectors, similar to word2vec, GloVe, or fastText, but better. These word embeddings are free, multilingual, aligned across languages, and designed to avoid representing harmful stereotypes. Their performance at word similarity, within and across languages, was shown to be state of the art at SemEval 2017.
The process for learning these word vectors is described in our AAAI 2017 paper, which also shows state-of-the-art results on solving analogy problems. SUPPORT AND DISCUSSION Detailed documentation about ConceptNet appears on its GitHub wiki.
You can chat with ConceptNet developers and users on Gitter,
or join the conceptnet-users mailing list.
Updates to ConceptNet and its supporting technologies appear on theConceptNet blog .
LINKED OPEN DATA API{
"@id": "/a/ ",
"dataset": "/d/conceptnet/4/en ","end": {
"@id": "/c/en/explain ", "label": "explain something","language": "en",
"term": "/c/en/explain "},
"license": "cc:by/4.0 ","rel": {
"@id": "/r/UsedFor ","label": "UsedFor"
},
"sources": ,
"start": {
"@id": "/c/en/example ", "label": "an example","language": "en",
"term": "/c/en/example "},
"surfaceText": "You can use to ","weight": 1.0,
"@context":
}
ConceptNet is a proud part of the ecosystem of Linked Open Data.
As a modern Linked Open Data resource, the data in ConceptNet is available in a JSON-LD API, a format that aims to make linked data easy to understand and easy to work with. If you don't care what JSON-LD is, it's just a JSON REST API with some extrametadata.
You can use ExternalURL links in ConceptNet to find the same terms in other vocabularies, such as WordNet, DBPedia, and OpenCyc, which can provide you with other forms of information. For information on how to use the ConceptNet API, see the APIdocumentation .
Or just start browsing it and you'll probably figure it out. SOURCES OF KNOWLEDGE Previous versions of ConceptNet were a home-grown crowd-sourced project, where we ran a Web site (Open Mind Common Sense) collecting facts from people who came to the site. The Web of Data is much bigger than that now. Our data comes from many different sources, some of which you can contribute to and improve not just the state of computational knowledge, but of _human_ knowledge. * ConceptNet 5, like previous versions, contains the relational knowledge contributed to Open Mind Common Sense and its sister projects in other languages. * We connect to a subset of DBPedia , which extracts knowledge from the infoboxes on Wikipedia articles. * Much of our knowledge comes from Wiktionary , the free multilingual dictionary. This gives us information about synonyms, antonyms, translations of concepts into hundreds of languages, and multiple labeled word sensesfor many words.
* More dictionary-style knowledge comes from Open MultilingualWordNet .
* We imported a high-level ontology from OpenCyc (by Cycorp, formerly hosted at cyc.com). * Some knowledge about people's intuitive word associations comes from "games with a purpose". We have learned facts in English from Verbosity, a word game formerly run by the GWAP project,
and in Japanese from the "nadya.jp" game by Nihon Unisys and Dentsu. If you believe a term should be understood by ConceptNet, the most straightforward way to add it to a future build is to add information about that term to Wiktionary , followingtheir guidelines.
ATTRIBUTING CONCEPTNET To give proper attribution to ConceptNet's data, we suggest this text: > This work includes data from ConceptNet 5, which was compiled by the > Commonsense Computing Initiative. ConceptNet 5 is freely available > under the Creative Commons Attribution-ShareAlike license (CC BY SA > 4.0) from https://conceptnet.io . The included data > was created by contributors to Commonsense Computing projects, > contributors to Wikimedia projects, Games with a Purpose, Princeton > University's WordNet, DBPedia, OpenCyc, and Umbel. A paper you can cite about ConceptNet is: > Robyn Speer, Joshua Chin, and Catherine Havasi. 2017. "ConceptNet > 5.5: An Open Multilingual Graph of General Knowledge > ." In proceedings of _AAAI_ 31.DEVELOPMENT
Development of ConceptNet takes place as an open-source project of Luminoso Technologies, Inc. The code that builds and powers ConceptNet is available on GitHub.
ConceptNet originated at the MIT Media Lab, and became part of the Commonsense Computing Initiative, a collaboration between MIT and other labs and companies around the world. This global collaboration helps us collect relational knowledge in many languages. The Commonsense Computing Initiative was founded by Catherine Havasi , now the CEO of Luminoso. The development of ConceptNet 5 is led by Robyn Speer, a Luminoso co-founder, with contributions from several other people.
ConceptNet 5 is
licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. If you use it in
research, please cite this AAAI paper.
See Copying and Sharing ConceptNetfor more details.
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