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chore: add 'concepCy' to spacy universe (#11255)

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* chore: add 'concepCy' to spacy universe

* docs: add 'slogan' to concepCy
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Jules Belveze 2022-08-04 08:42:38 +02:00 committed by GitHub
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1 changed files with 38 additions and 4 deletions
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website/meta/universe.json
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@ -1,5 +1,39 @@
{
"resources": [
{
"id": "concepcy",
"title": "concepCy",
"slogan": "A multilingual knowledge graph in spaCy",
"description": "A spaCy wrapper for ConceptNet, a freely-available semantic network designed to help computers understand the meaning of words.",
"github": "JulesBelveze/concepcy",
"pip": "concepcy",
"code_example": [
"import spacy",
"import concepcy",
"",
"nlp = spacy.load('en_core_web_sm')",
"# Using default concepCy configuration",
"nlp.add_pipe('concepcy')",
"",
"doc = nlp('WHO is a lovely company')",
"",
"# Access all the 'RelatedTo' relations from the Doc",
"for word, relations in doc._.relatedto.items():",
" print(f'Word: {word}\n{relations}')",
"",
"# Access the 'RelatedTo' relations word by word",
"for token in doc:",
" print(f'Word: {token}\n{token._.relatedto}')"
],
"category": ["pipeline"],
"image": "https://github.com/JulesBelveze/concepcy/blob/main/figures/concepcy.png",
"tags": ["semantic", "ConceptNet"],
"author": "Jules Belveze",
"author_links": {
"github": "JulesBelveze",
"website": "https://www.linkedin.com/in/jules-belveze/"
}
},
{
"id": "spacyfishing",
"title": "spaCy fishing",
@ -2604,7 +2638,7 @@
" Add the courgette, garlic, red peppers and oregano and cook for 2–3 minutes.",
" Later, add some oranges and chickens.\"\"\"",
"",
"# use any model that has internal spacy embeddings",
"# use any model that has internal spacy embeddings",
"nlp = spacy.load('en_core_web_lg')",
"nlp.add_pipe(\"concise_concepts\", ",
" config={\"data\": data}",
@ -2650,7 +2684,7 @@
" At that location, Nissin was founded.",
" Many students survived by eating these noodles, but they don't even know him.\"\"\"",
"",
"# use any model that has internal spacy embeddings",
"# use any model that has internal spacy embeddings",
"nlp = spacy.load('en_core_web_sm')",
"nlp.add_pipe(",
" \"xx_coref\", config={\"chunk_size\": 2500, \"chunk_overlap\": 2, \"device\": 0})",
@ -2833,7 +2867,7 @@
"doc = nlp(\"AE died in Princeton in 1955.\")",
"",
"print(doc._.clauses)",
"# Output:",
"# Output:",
"# <SV, AE, died, None, None, None, [in Princeton, in 1955]>",
"",
"propositions = doc._.clauses[0].to_propositions(as_text=True)",
@ -3599,7 +3633,7 @@
"",
"#Lexico Semantic (LxSem) Features",
"TTRF = LingFeat.TTRF_() #Type Token Ratio Features",
"VarF = LingFeat.VarF_() #Noun/Verb/Adj/Adv Variation Features",
"VarF = LingFeat.VarF_() #Noun/Verb/Adj/Adv Variation Features",
"PsyF = LingFeat.PsyF_() #Psycholinguistic Difficulty of Words (AoA Kuperman)",
"WoLF = LingFeat.WorF_() #Word Familiarity from Frequency Count (SubtlexUS)",
"",