Patent data have an increasingly important role in economic growth, innovation, technical advantages and business strategies and even in countries competitions. Analyzing of patent data is crucial since patents cover large part of all technological information of the world. In this paper, we have used the linguistic summarization technique to prove the validity of the hypotheses related to patent data stated in the literature
Abstract. Hardly any other type of textual material is as difficult to read and comprehend as patent...
We propose a NLP methodology for ana-lyzing patent claims that combines sym-bolic grammar formalisms...
Abstract Natural language analysis of patents holds promise for the development of tools designed to...
Patent data have an increasingly important role in economic growth, innovation, technical advantages...
Geçmişten günümüze yaşanan patent gelişmelerinin temelinde yatan en önemli neden değerli bilginin ko...
Patent search is recall-driven, which goes hand in hand with at least a partial sacrifice of precisi...
This thesis aims to explore and demonstrate the use of computational linguistic analysis to measure ...
We survey Natural Language Processing (NLP) approaches to summarizing, simplifying, and generating p...
We survey Natural Language Processing (NLP) approaches to summarizing, simplifying, and generating p...
Since patents contain various types of objective technological information, they are used to identif...
Patent have often been seen as a useful information source for technology monitoring. Nevertheless, ...
In an era of rapid information expansion, people encounter huge amounts of intellectual property (IP...
Technological capability/strength, market monopoly/success of R&D efforts are some of the indica...
The goal of this study is to suggest a method to extract technological causalities from patents, whi...
Patent search is an important information retrieval problem in scientific and busi-ness research. Se...
Abstract. Hardly any other type of textual material is as difficult to read and comprehend as patent...
We propose a NLP methodology for ana-lyzing patent claims that combines sym-bolic grammar formalisms...
Abstract Natural language analysis of patents holds promise for the development of tools designed to...
Patent data have an increasingly important role in economic growth, innovation, technical advantages...
Geçmişten günümüze yaşanan patent gelişmelerinin temelinde yatan en önemli neden değerli bilginin ko...
Patent search is recall-driven, which goes hand in hand with at least a partial sacrifice of precisi...
This thesis aims to explore and demonstrate the use of computational linguistic analysis to measure ...
We survey Natural Language Processing (NLP) approaches to summarizing, simplifying, and generating p...
We survey Natural Language Processing (NLP) approaches to summarizing, simplifying, and generating p...
Since patents contain various types of objective technological information, they are used to identif...
Patent have often been seen as a useful information source for technology monitoring. Nevertheless, ...
In an era of rapid information expansion, people encounter huge amounts of intellectual property (IP...
Technological capability/strength, market monopoly/success of R&D efforts are some of the indica...
The goal of this study is to suggest a method to extract technological causalities from patents, whi...
Patent search is an important information retrieval problem in scientific and busi-ness research. Se...
Abstract. Hardly any other type of textual material is as difficult to read and comprehend as patent...
We propose a NLP methodology for ana-lyzing patent claims that combines sym-bolic grammar formalisms...
Abstract Natural language analysis of patents holds promise for the development of tools designed to...