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for pattern transformation. At first, sentences in
English are converted into kernel sentences, which each contain a single piece of information. Next, the kernel sentences are converted into mathematical expressions. The knowledge base that supports the transformation contains 52 facts.
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as his PhD thesis in 1964 (Bobrow 1964). It was designed to read and solve the kind of word problems found in high school algebra books. The program is often cited as an early accomplishment of AI in
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If the number of customers Tom gets is twice the square of 20% of the number of advertisements he runs, and the number of advertisements is 45, then what is the number of customers Tom gets?
273:. International Journal of Computational Linguistics & Chinese Language Processing, Volume 20, Number 2, December 2015-Special Issue on Selected Papers from ROCLING XXVII.
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Lin, Yi-Chung and Liang, Chao-Chun and Hsu, Kuang-Yi and Huang, Chien-Tsung and Miao, Shen-Yun and Ma, Wei-Yun and Ku, Lun-Wei and Liau, Churn-Jung and Su, Keh-Yih (2015).
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Dongxiang Zhang and Lei Wang and Luming Zhang and Bing Tian Dai and Heng Tao Shen (2019). "The Gap of
Semantic Parsing: A Survey on Automatic Math Word Problem Solvers".
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STUDENT accepts an algebra story written in the
English language as input, and generates a number as output. This is realized with a layered pipeline that consists of
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were realized with 1960s hardware and software as well: for example, the
Philips, Baseball and Synthex systems.
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with logic inference. The rules are pre-programmed by the software developer and are able to
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Designing a tag-based statistical math word problem solver with reasoning and explanation
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Shuming Shi and Yuehui Wang and Chin-Yew Lin and
Xiaojiang Liu and Yong Rui (2015).
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This article is about the artificial intelligence program. For other uses, see
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Automatically
Solving Number Word Problems by Semantic Parsing and Reasoning
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Paradigms of artificial intelligence programming:case studies in Common Lisp
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306:(9). Institute of Electrical and Electronics Engineers (IEEE): 2287–2305.
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More powerful techniques for natural language processing, such as
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software, which uniquely involved natural language processing and
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IEEE Transactions on
Pattern Analysis and Machine Intelligence
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Natural
Language Input for a Computer Problem Solving System
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Natural language input for a computer problem solving system
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program that solves algebra word problems. It is written in
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SIR: A computer program for semantic information retrieval
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230:"AI and Cognitive Science: The Past and Next 30 Years"
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AI: The
Tumultuous Search for Artificial Intelligence
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192:(PhD). Massachusetts Institute of Technology.
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