This thesis aims to explore and demonstrate the use of computational linguistic analysis to measure the "readability" of patent documents. By using readability as a proxy for the extent of disclosure in patent documents, this thesis studies whether patent applicants may strategically choose the disclosure level for their patents, and how the disclosure level would affect the patent acquisitions and patent examination. This thesis introduces a new method to the quantitative economic analysis of patents, and generates research results with important implications for patent policy and practice
While the knowledge contained in US patents descriptions is essentially the same as that conveyed by...
Artificial intelligence and its subsector machine learning differs from traditional programming. For...
158 pagesInnovation is essential to firm performance and economic growth. During each stage of the i...
Machine translation represents a revolution in the patent system. It facilitates access to a vast am...
Patent data have an increasingly important role in economic growth, innovation, technical advantages...
Since patents contain various types of objective technological information, they are used to identif...
How relevant are language and translation to patent law? Patents are closely related to the universa...
How relevant are language and translation to patent law? Patents are closely related to the universa...
Despite their ostensibly aseptic nature, technical texts involve a multifaceted net of institutional...
The intellectual property economy, and, more narrowly, the patent economy, form an incredibly wide-r...
The goal of this study is to suggest a method to extract technological causalities from patents, whi...
We survey Natural Language Processing (NLP) approaches to summarizing, simplifying, and generating p...
Clarity of language improves efficiency and reduces misunderstanding. In written text, it is measure...
With the advent of the knowledge economy, firms often compete for intellectual property rights. Bein...
We survey Natural Language Processing (NLP) approaches to summarizing, simplifying, and generating p...
While the knowledge contained in US patents descriptions is essentially the same as that conveyed by...
Artificial intelligence and its subsector machine learning differs from traditional programming. For...
158 pagesInnovation is essential to firm performance and economic growth. During each stage of the i...
Machine translation represents a revolution in the patent system. It facilitates access to a vast am...
Patent data have an increasingly important role in economic growth, innovation, technical advantages...
Since patents contain various types of objective technological information, they are used to identif...
How relevant are language and translation to patent law? Patents are closely related to the universa...
How relevant are language and translation to patent law? Patents are closely related to the universa...
Despite their ostensibly aseptic nature, technical texts involve a multifaceted net of institutional...
The intellectual property economy, and, more narrowly, the patent economy, form an incredibly wide-r...
The goal of this study is to suggest a method to extract technological causalities from patents, whi...
We survey Natural Language Processing (NLP) approaches to summarizing, simplifying, and generating p...
Clarity of language improves efficiency and reduces misunderstanding. In written text, it is measure...
With the advent of the knowledge economy, firms often compete for intellectual property rights. Bein...
We survey Natural Language Processing (NLP) approaches to summarizing, simplifying, and generating p...
While the knowledge contained in US patents descriptions is essentially the same as that conveyed by...
Artificial intelligence and its subsector machine learning differs from traditional programming. For...
158 pagesInnovation is essential to firm performance and economic growth. During each stage of the i...