Knowledge and Learning in Natural Language
E1410536
UNEXPLORED
"Knowledge and Learning in Natural Language" is a scholarly work by linguist Charles Yang that explores how humans acquire linguistic knowledge and how learning mechanisms shape natural language structure.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Knowledge and Learning in Natural Language canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T20068954 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knowledge and Learning in Natural Language Context triple: [Charles Yang, hasWritten, Knowledge and Learning in Natural Language]
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A.
Semantics and Cognition
Semantics and Cognition is a foundational book in cognitive linguistics that explores how meaning in language is structured and represented in the human mind.
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B.
Foundations of Statistical Natural Language Processing
Foundations of Statistical Natural Language Processing is a seminal textbook that introduces the core probabilistic and machine learning methods used in modern natural language processing.
-
C.
Learning a Natural Language Interface with Neural Programmer
"Learning a Natural Language Interface with Neural Programmer" is a research paper that introduces a neural network-based system for translating natural language questions into executable programs to answer queries over structured data.
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D.
Language, Logic, and Conceptual Structure
Language, Logic, and Conceptual Structure is a foundational work in cognitive science and linguistics that explores how language, logical form, and mental representation interact in the human mind.
-
E.
Exploring the Limits of Language Modeling
"Exploring the Limits of Language Modeling" is a research paper that investigates how far large-scale neural language models can be pushed in terms of performance, scalability, and generalization on natural language tasks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Knowledge and Learning in Natural Language Target entity description: "Knowledge and Learning in Natural Language" is a scholarly work by linguist Charles Yang that explores how humans acquire linguistic knowledge and how learning mechanisms shape natural language structure.
-
A.
Semantics and Cognition
Semantics and Cognition is a foundational book in cognitive linguistics that explores how meaning in language is structured and represented in the human mind.
-
B.
Foundations of Statistical Natural Language Processing
Foundations of Statistical Natural Language Processing is a seminal textbook that introduces the core probabilistic and machine learning methods used in modern natural language processing.
-
C.
Learning a Natural Language Interface with Neural Programmer
"Learning a Natural Language Interface with Neural Programmer" is a research paper that introduces a neural network-based system for translating natural language questions into executable programs to answer queries over structured data.
-
D.
Language, Logic, and Conceptual Structure
Language, Logic, and Conceptual Structure is a foundational work in cognitive science and linguistics that explores how language, logical form, and mental representation interact in the human mind.
-
E.
Exploring the Limits of Language Modeling
"Exploring the Limits of Language Modeling" is a research paper that investigates how far large-scale neural language models can be pushed in terms of performance, scalability, and generalization on natural language tasks.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.