Premise: Source: Pattern recognition
Pattern recognition systems are in many cases trained from labeled `` training '' data ( supervised learning ) , but when no labeled data are available other algorithms can be used to discover previously unknown patterns ( unsupervised learning ) .
Hypothesis: Pattern recognition systems is independent from "training" data.
Label: refutes
Span interactions:
level: low
labels: Hypernym-two-way
premise_text: systems
hypothesis_text: systems
level: high
labels: Hypernym-p-to-h
premise_text: Pattern recognition
hypothesis_text: Pattern recognition systems
level: high
labels: Synonym
premise_text: Pattern recognition systems
hypothesis_text: Pattern recognition systems
level: high
labels: Antonym
premise_text: trained from labeled `` training '' data ( supervised learning )
hypothesis_text: is independent from "training" data
level: low
labels: Antonym
premise_text: supervised
hypothesis_text: independent
level: high
labels: Synonym
Synonym
premise_text: Pattern recognition
hypothesis_text: Pattern recognition
level: high
labels: Synonym
Synonym
premise_text: Pattern recognition
hypothesis_text: Pattern recognition
level: high
labels: Antonym
premise_text: systems are in many cases trained from labeled `` training '' data
hypothesis_text: systems is independent from "training" data
level: low
labels: Antonym
premise_text: trained
hypothesis_text: independent
level: high
labels: Synonym
premise_text: systems
hypothesis_text: systems
level: high
labels: Antonym
premise_text: trained from labeled `` training '' data
hypothesis_text: independent from "training" data
level: low
labels: Antonym
premise_text: labeled
hypothesis_text: independent