Pairwise semantic similarity measures for US utility patents. Includes measures for citing/cited patent pairs, 100 most-similar patents for each patent, and doc2vec vectors for each patent.Research Supported by NSF Award number 185609
There are many general purpose benchmark datasets for Semantic Textual Similarity but none of them a...
International audienceIn this paper, we extend some usual techniques of classification resulting fro...
The aim of this paper is to investigate the correlation between the technological proximity measure ...
Pairwise semantic similarity measures for US utility patents. Includes measures for citing/cited pat...
We provide open access to the code and data to calculate the text-based similarity between any two u...
Being able to effectively measure similarity between patents in a complex patent citation network is...
We propose using text matching to measure the technological similarity between patents. Technology e...
© 2016 Elsevier Ltd Similarity measures are fundamental tools for identifying relationships within o...
The aim of the present research is to provide a new systematic methodology to explore potential Rese...
In this study, we examine and validate the use of existing text mining techniques (based on the vect...
© 2014 Taylor & Francis The aim of the present research is to provide a new systematic methodology t...
Companies should investigate possible patent infringement and cope with potential risks because pate...
Technology intelligence plays a crucial role for corporate strategy, especially during times of acce...
The similarity of documents is typically computed using fairly simple similarity measures, such as m...
The citation network of patents citing prior art arises from the legal obligation of patent applican...
There are many general purpose benchmark datasets for Semantic Textual Similarity but none of them a...
International audienceIn this paper, we extend some usual techniques of classification resulting fro...
The aim of this paper is to investigate the correlation between the technological proximity measure ...
Pairwise semantic similarity measures for US utility patents. Includes measures for citing/cited pat...
We provide open access to the code and data to calculate the text-based similarity between any two u...
Being able to effectively measure similarity between patents in a complex patent citation network is...
We propose using text matching to measure the technological similarity between patents. Technology e...
© 2016 Elsevier Ltd Similarity measures are fundamental tools for identifying relationships within o...
The aim of the present research is to provide a new systematic methodology to explore potential Rese...
In this study, we examine and validate the use of existing text mining techniques (based on the vect...
© 2014 Taylor & Francis The aim of the present research is to provide a new systematic methodology t...
Companies should investigate possible patent infringement and cope with potential risks because pate...
Technology intelligence plays a crucial role for corporate strategy, especially during times of acce...
The similarity of documents is typically computed using fairly simple similarity measures, such as m...
The citation network of patents citing prior art arises from the legal obligation of patent applican...
There are many general purpose benchmark datasets for Semantic Textual Similarity but none of them a...
International audienceIn this paper, we extend some usual techniques of classification resulting fro...
The aim of this paper is to investigate the correlation between the technological proximity measure ...
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