“A Question-Answering System for High School Algebra Word Problems”
E434312
artificial intelligence research project
mathematics problem-solving system
natural language processing system
question answering system
“A Question-Answering System for High School Algebra Word Problems” is an early AI research project that automatically interprets and solves algebra word problems in natural language, demonstrating machine understanding and reasoning in mathematics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| “A Question-Answering System for High School Algebra Word Problems” canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4353364 — 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: “A Question-Answering System for High School Algebra Word Problems” Context triple: [Semantic Information Processing, hasPart, “A Question-Answering System for High School Algebra Word Problems”]
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A.
“A Decision Method for Elementary Algebra and Geometry”
“A Decision Method for Elementary Algebra and Geometry” is Alfred Tarski’s influential work that presents a procedure for deciding the truth of statements in elementary algebra and geometry, laying foundations for decision theory in mathematical logic.
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B.
General Problem Solver
The General Problem Solver is an early artificial intelligence program designed to model and automate human-like problem-solving across a wide range of domains using general search and reasoning strategies.
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C.
Outside in the Teaching Machine
Outside in the Teaching Machine is a collection of essays by postcolonial theorist Gayatri Chakravorty Spivak that critiques global capitalism, education, and representation from the perspective of marginalized voices.
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D.
the Logic Theorist program
The Logic Theorist program was an early artificial intelligence system developed in the 1950s that automatically proved theorems in symbolic logic and is often regarded as the first AI program.
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E.
"A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence"
"A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence" is the seminal 1955 research proposal by John McCarthy and colleagues that launched the field of artificial intelligence by defining its goals and organizing the landmark 1956 Dartmouth conference.
- 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: “A Question-Answering System for High School Algebra Word Problems” Target entity description: “A Question-Answering System for High School Algebra Word Problems” is an early AI research project that automatically interprets and solves algebra word problems in natural language, demonstrating machine understanding and reasoning in mathematics.
-
A.
“A Decision Method for Elementary Algebra and Geometry”
“A Decision Method for Elementary Algebra and Geometry” is Alfred Tarski’s influential work that presents a procedure for deciding the truth of statements in elementary algebra and geometry, laying foundations for decision theory in mathematical logic.
-
B.
General Problem Solver
The General Problem Solver is an early artificial intelligence program designed to model and automate human-like problem-solving across a wide range of domains using general search and reasoning strategies.
-
C.
Outside in the Teaching Machine
Outside in the Teaching Machine is a collection of essays by postcolonial theorist Gayatri Chakravorty Spivak that critiques global capitalism, education, and representation from the perspective of marginalized voices.
-
D.
the Logic Theorist program
The Logic Theorist program was an early artificial intelligence system developed in the 1950s that automatically proved theorems in symbolic logic and is often regarded as the first AI program.
-
E.
"A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence"
"A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence" is the seminal 1955 research proposal by John McCarthy and colleagues that launched the field of artificial intelligence by defining its goals and organizing the landmark 1956 Dartmouth conference.
- F. None of above. chosen
Statements (36)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence research project
ⓘ
mathematics problem-solving system ⓘ natural language processing system ⓘ question answering system ⓘ |
| aimsTo | bridge natural language and algebraic notation ⓘ |
| approach | question answering ⓘ |
| capability |
mapping text to mathematical representations
ⓘ
parsing natural language problem statements ⓘ solving algebraic equations ⓘ |
| contribution |
early example of domain-specific question answering
ⓘ
illustration of integrating language understanding with problem solving ⓘ |
| demonstrates |
machine reasoning in mathematics
ⓘ
machine understanding of natural language ⓘ |
| educationLevel | high school ⓘ |
| evaluationContext | high school mathematics curriculum ⓘ |
| field |
artificial intelligence
ⓘ
mathematics education ⓘ natural language processing ⓘ |
| focusesOn | high school algebra word problems ⓘ |
| goal |
demonstrate automated reasoning over word problems
ⓘ
show feasibility of machine understanding of math text ⓘ |
| inputLanguage | natural language ⓘ |
| output |
interpreted mathematical equations
ⓘ
solutions to algebra word problems ⓘ |
| problemDomain |
algebra
ⓘ
word problems ⓘ |
| reasoningType |
logical inference
ⓘ
mathematical reasoning ⓘ |
| researchGoal |
advance machine understanding of educational text
ⓘ
explore automated solution of textbook problems ⓘ |
| researchType |
early AI experiment
ⓘ
prototype system ⓘ |
| task |
automatic interpretation of algebra word problems
ⓘ
automatic solution of algebra word problems ⓘ |
| uses |
formal mathematical representations
ⓘ
symbolic reasoning ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: “A Question-Answering System for High School Algebra Word Problems” Description of subject: “A Question-Answering System for High School Algebra Word Problems” is an early AI research project that automatically interprets and solves algebra word problems in natural language, demonstrating machine understanding and reasoning in mathematics.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
Semantic Information Processing
→
hasPart
→
“A Question-Answering System for High School Algebra Word Problems”
ⓘ