Discovering new business opportunities with dependent semantic parsers

Russo, Davide; Spreafico, Matteo; Precorvi, Andrea

doi:10.1016/j.compind.2020.103330

Cited by 15 publications

(6 citation statements)

References 21 publications

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“…They consist of the union of the function and some lexical forms. The starting point for the collection of these dependency patterns was the analysis of the patterns collected for other purposes, i.e., to automatically catalogue risk assessment methods from scientific papers [30] and to extract functions and application fields from patents [3]. In this work, a new analysis was carried out ad hoc to confirm the validity of the dependency patterns retrieved from the literature, through the following procedure.…”

Section: Used Main Sentence Examplementioning

confidence: 99%

“…In contrast to traditional syntactic approaches (e.g., [2]), the proposed method exploits a hybrid approach in which dependency patterns are also used. Some dependency patterns have been retrieved in our studies in other fields (e.g., [3]), and retested for the purpose of this method, and new patterns were introduced. Unlike the approaches based on the analysis of a single sentence (e.g., [4]), the proposed method allows us to identify relationships between technical system, function and object in different sentences.…”

Section: Introductionmentioning

confidence: 99%

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A Set of Rules for Function-Oriented Automatic Multi-Sentence Analysis in Patents

Spreafico

2023

Knowledge

Self Cite

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This study proposes some rules for performing a function-oriented search (providing function and object) to extract technical systems from patents, using syntax and dependency patterns to analyse multiple sentences. Unlike the most common inter-sentence analysis methods, the proposed method does not use context information or distance to link the elements of several sentences, but generic terms from patent ontology. The content provided by the rules was entirely derived from a statistical analysis of many patents from different domains, in order to provide a general validity for the rules. The application of the method in two case studies, related to metal cutting and manure processing, highlighted its main advantages. Its degree of automation is such that the expert is almost exclusively excluded, except in the definition of the function on which to build the document pool. The precision and the recall of the results during the tests exceeded 90%. The current limitation concerns the manual control of some results, about 25%, which derive from an additional set of dependency patterns that are difficult to automate and deserve further investigation. The technical systems are many more in number and are more detailed with regard to structural aspects than those obtainable by analysing only single sentences and/or syntax.

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Section: Used Main Sentence Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Set of Rules for Function-Oriented Automatic Multi-Sentence Analysis in Patents

Spreafico

2023

Knowledge

Self Cite

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“…To identify new technology opportunities relating to carbon-fibre heating fabric, Russo, Spreafico, and Precorvi (2020) download 16,743 patents and extract Subject–Action–Object triples where the Subject is ‘heating fibre’. Assuming that Action represents a function, they mine dependency patterns to extract applications (e.g., ‘applied as’, ‘used for’) and requirements (e.g., ‘enhance…’, ‘un…ability’) pertinent to the heating fibre technology.…”

Section: Reviewmentioning

confidence: 99%

Natural language processing in-and-for design research

2022

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We review the scholarly contributions that utilise natural language processing (NLP) techniques to support the design process. Using a heuristic approach, we gathered 223 articles that are published in 32 journals within the period 1991–present. We present state-of-the-art NLP in-and-for design research by reviewing these articles according to the type of natural language text sources: internal reports, design concepts, discourse transcripts, technical publications, consumer opinions and others. Upon summarising and identifying the gaps in these contributions, we utilise an existing design innovation framework to identify the applications that are currently being supported by NLP. We then propose a few methodological and theoretical directions for future NLP in-and-for design research.

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“…2 Literature review 2.1 Technology opportunity discovery TOD refers to the process that collects technical information and transforms it into a form that can be analyzed by companies and R&D personnel to explore new technology opportunities (Russo et al, 2020). As the premise and critical step of technological innovation, technology opportunity identification has increasingly attracted the attention of many scholars (Jinfeng et al, 2022;Teng et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Technology opportunity discovery of proton exchange membrane fuel cell from the perspective of papers-patents correlation analysis

Feng

Liu²,

Wang³

et al. 2023

Front. Energy Res.

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Papers and patents can respectively present the latest progress of scientific research and technological development. Combining the two for correlation analysis has certain reference significance for technology opportunity discovery. Therefore, this paper proposes a method for technology opportunity discovery of proton exchange membrane fuel cell from the perspective of papers-patents correlation analysis. Firstly, papers and patent data are collected from papers and patent databases and the LDA model is applied to extract paper and patent topics. Secondly, the indicators of topic heat and novelty are calculated to select high-value paper topics. After that, the similarity analysis between high-value paper topics and all patent topics is considered to select the patent topics with development potential. Finally, the patent texts with high relevance to these patent topics with development potential are positioned. The technical keywords in them are extracted by text mining tool and classified into innovation dimensions according to their attributes and the TEMPEST model. After that, the innovation rules in the SCAMPER model are introduced to combine with the technical keywords in each innovation dimension to identify specific technology opportunities. An empirical study on the technology of proton exchange membrane fuel cell provides sufficient evidence of the method’s ability to discover technology opportunities. This paper contributes by generating four specific technology opportunities, which can make up for the existing defects of proton exchange membrane fuel cells and provide useful guidance for companies to carry out technological innovation.

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Discovering new business opportunities with dependent semantic parsers

Cited by 15 publications

References 21 publications

A Set of Rules for Function-Oriented Automatic Multi-Sentence Analysis in Patents

A Set of Rules for Function-Oriented Automatic Multi-Sentence Analysis in Patents

Natural language processing in-and-for design research

Technology opportunity discovery of proton exchange membrane fuel cell from the perspective of papers-patents correlation analysis

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