The NaturalProofs Dataset is a multi-domain corpus for studying mathematical reasoning in natural language. NaturalProofs consists of roughly 30,000 theorem statements and proofs, 15,000 definitions, and 2,000 additional pages (e.g. axioms, corollaries), written in natural mathematical language. NaturalProofs contains broad-coverage data from ProofWiki, deep-coverage data from the Stacks project, and low-resource data from mathematics textbooks. NaturalProofs unifies these sources in a common schema and is made publicly available as a resource to drive progress on tasks involving informal mathematics. Please see the description in [Welleck et al 2021], and its corresponding GitHub repository for more details
Fact verification systems typically rely on neural network classifiers for veracity prediction which...
A great deal of work has been done on automatically generating automated proofs of formal statements...
We study challenges that are imposed to mathematical domain reasoning in the context of natural lang...
The NaturalProofs Dataset is a multi-domain corpus for studying mathematical reasoning in natural la...
The NaturalProofs Dataset is a multi-domain corpus for studying mathematical reasoning in natural la...
The NaturalProofs Dataset is a multi-domain corpus for studying mathematical reasoning in natural la...
The NaturalProofs Dataset is a large-scale dataset for studying mathematical reasoning in natural la...
Theorem proving in natural mathematical language - the mixture of symbolic and natural language used...
Mathematical and program-code text is unique because significant portions of it can be anchored to ...
This data documents students' and mathematicians' written conceptions of proof. There are 176 files,...
Recently, a growing number of researchers have applied machine learning to assist users of interacti...
Abstract. We propose a natural framework, called NF, which supports development of formal proofs on ...
This dataset contains 120 natural language questions on math operations and string manipulation.<div...
Mathematical knowledge is publicly available in dozens of different formats and languages, ranging f...
Mathematical and program-code text is unique because significant portions of it can be anchored to c...
Fact verification systems typically rely on neural network classifiers for veracity prediction which...
A great deal of work has been done on automatically generating automated proofs of formal statements...
We study challenges that are imposed to mathematical domain reasoning in the context of natural lang...
The NaturalProofs Dataset is a multi-domain corpus for studying mathematical reasoning in natural la...
The NaturalProofs Dataset is a multi-domain corpus for studying mathematical reasoning in natural la...
The NaturalProofs Dataset is a multi-domain corpus for studying mathematical reasoning in natural la...
The NaturalProofs Dataset is a large-scale dataset for studying mathematical reasoning in natural la...
Theorem proving in natural mathematical language - the mixture of symbolic and natural language used...
Mathematical and program-code text is unique because significant portions of it can be anchored to ...
This data documents students' and mathematicians' written conceptions of proof. There are 176 files,...
Recently, a growing number of researchers have applied machine learning to assist users of interacti...
Abstract. We propose a natural framework, called NF, which supports development of formal proofs on ...
This dataset contains 120 natural language questions on math operations and string manipulation.<div...
Mathematical knowledge is publicly available in dozens of different formats and languages, ranging f...
Mathematical and program-code text is unique because significant portions of it can be anchored to c...
Fact verification systems typically rely on neural network classifiers for veracity prediction which...
A great deal of work has been done on automatically generating automated proofs of formal statements...
We study challenges that are imposed to mathematical domain reasoning in the context of natural lang...