Get Wordnet Pos
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Get Wordnet Pos has 53 facts recorded in Dontopedia across 5 references, with 6 live disagreements.
Mostly:returns(5), rdf:type(4), maps(4)
Maturity scale
raw canonical shape-checked rule-derived certifiedReturnsin disputereturns
- Pos[5]all time · 4be5ccbb C1b7 4c71 B494 78fd7c33ee6f
- wordnet tag[2]sourceall time · 16e41d30 F9b5 41c6 9a0a 11c9433c7f3f
- wordnet.ADV[1]sourceall time · 8639bcf3 C63f 4843 8792 20826d145b6b
- wordnet-tag[3]sourceall time · 18cf1b77 Ea16 4bc0 Af54 2a32d0027b67
- None[1]sourceall time · 8639bcf3 C63f 4843 8792 20826d145b6b
Rdf:typein disputerdf:type
Pos Classificationin disputePOSClassification
Mapsin disputemaps
Ex:has Conditionalin disputeex:hasConditional
- Adj Check[4]sourceall time · 82dc87bd 74b8 4fb6 Be5d 469ed934c86c
- Adv Check[4]sourceall time · 82dc87bd 74b8 4fb6 Be5d 469ed934c86c
- Noun Check[4]sourceall time · 82dc87bd 74b8 4fb6 Be5d 469ed934c86c
- Verb Check[4]sourceall time · 82dc87bd 74b8 4fb6 Be5d 469ed934c86c
Ex:returnsin disputeex:returns
Has ParameterhasParameter
Returns for NreturnsForN
- wordnet.NOUN[2]all time · 16e41d30 F9b5 41c6 9a0a 11c9433c7f3f
Returns for VreturnsForV
- wordnet.VERB[2]all time · 16e41d30 F9b5 41c6 9a0a 11c9433c7f3f
Returns for JreturnsForJ
- wordnet.ADJ[2]sourceall time · 16e41d30 F9b5 41c6 9a0a 11c9433c7f3f
Checks Starts With NchecksStartsWithN
- true[2]sourceall time · 16e41d30 F9b5 41c6 9a0a 11c9433c7f3f
Checks Starts With VchecksStartsWithV
- true[2]sourceall time · 16e41d30 F9b5 41c6 9a0a 11c9433c7f3f
Inbound mentions (4)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
callsCalls(2)
- Expand Query
ex:expand_query - Expand Query
ex:expand_query
definesFunctionDefines Function(1)
- Python Code Example
ex:PythonCodeExample
ex:callsFunctionEx:calls Function(1)
- Synonym Extraction Step
ex:synonym_extraction_step
Other facts (23)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Checks Starts With J | true | [2] |
| Parameter Name | treebank_tag | [2] |
| Conditional Logic | if-elif chain for J/V/N tags | [2] |
| Maps Treebank Tag N | wordnet.NOUN | [2] |
| Maps Treebank Tag V | wordnet.VERB | [2] |
| Maps Treebank Tag J | wordnet.ADJ | [2] |
| Purpose | Converts treebank tag to wordnet tag | [2] |
| Partial Implementation | elif suggests preceding if clause | [1] |
| Returns None | None | [1] |
| Returns Constant | wordnet.ADV | [1] |
| Checks Condition | treebank_tag.startswith('R') | [1] |
| Control Flow | elif-else structure | [1] |
| Conditional Branch | else: | [1] |
| Conditional Check | treebank_tag.startswith('R') | [1] |
| Decodes | treebank-tag | [3] |
| Parameter Type | Pos Tag Result | [5] |
| Ex:receives Parameter | Treebank Tag String | [4] |
| Ex:includes Comment | Default to Noun Explanation | [4] |
| Ex:handles Tag Prefixes | J V N R Prefixes | [4] |
| Ex:has Default | Noun Default | [4] |
| Ex:default Return | wordnet.NOUN | [4] |
| Ex:purpose | convert_treebank_POS_tags_to_WordNet_POS_tags | [4] |
| Ex:has Parameter | treebank_tag | [4] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (5)
- custom
ctx:claims/beam/8639bcf3-c63f-4843-8792-20826d145b6b- full textbeam-chunktext/plain1 KB
doc:beam/8639bcf3-c63f-4843-8792-20826d145b6bShow excerpt
elif treebank_tag.startswith('R'): return wordnet.ADV else: return None def get_synonyms(word, pos=None): """Returns synonyms for a given word.""" synonyms = set() for syn in wordnet.synsets(word, pos=po…
- custom
ctx:claims/beam/16e41d30-f9b5-41c6-9a0a-11c9433c7f3f- full textbeam-chunktext/plain1 KB
doc:beam/16e41d30-f9b5-41c6-9a0a-11c9433c7f3fShow excerpt
[Turn 10645] Assistant: Certainly! To enhance your query reformulation logic, you can incorporate more sophisticated techniques such as context-aware transformations, synonym replacement, and intent recognition. Here's an enhanced version o…
- custom
ctx:claims/beam/18cf1b77-ea16-4bc0-af54-2a32d0027b67- full textbeam-chunktext/plain1 KB
doc:beam/18cf1b77-ea16-4bc0-af54-2a32d0027b67Show excerpt
- **Combine Truncation and Filtering**: Apply both truncation and filtering techniques to ensure the expanded query remains concise and relevant. ### Example Implementation Here's an example implementation that incorporates these strat…
- custom
ctx:claims/beam/82dc87bd-74b8-4fb6-be5d-469ed934c86c- full textbeam-chunktext/plain1 KB
doc:beam/82dc87bd-74b8-4fb6-be5d-469ed934c86cShow excerpt
nlp = spacy.load("en_core_web_sm") lemmatizer = WordNetLemmatizer() def get_wordnet_pos(treebank_tag): """Converts treebank POS tags to WordNet POS tags.""" if treebank_tag.startswith('J'): return wordnet.ADJ elif treeb…
- custom
ctx:claims/beam/4be5ccbb-c1b7-4c71-b494-78fd7c33ee6f
See also
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