Papers Patent classification
“Patent classification” 태그가 달린 논문 36편 · 필터 해제
DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level
In the landscape of publicly available patent retrieval datasets, the need for explicit indomain and out-of-domain labeling, multi-jurisdiction coverage, balanced query domain representation and manageable sizes that sup…
Patent classificationRetrievalResearch on feature fusion and multimodal patent text based on graph attention network
Aiming at the problems of cross-modal feature fusion, low efficiency of long text modeling and lack of hierarchical semantic coherence in patent text semantic mining, this study proposes HGM-Net, a deep learning framewor…
Computational EfficiencyGraph AttentionPatent classificationSentenceThe evolving boundary of green technology
Green patents are a key indicator to track technological efforts aimed at fighting climate change. Using an original dataset that merges different Patstat releases, we identify three mechanisms that may bias green patent…
Patent classificationInnovative activities of Activision Blizzard: A patent network analysis
Microsoft's acquisition of Activision Blizzard valued at $68.7 billion has drastically altered the landscape of the video game industry. At the time of the takeover, the intellectual properties of Activision Blizzard inc…
Patent classificationStarcraftExtracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices
Recently, many studies have increasingly explored the use of large language models (LLMs) to generate research ideas and scientific hypotheses. However, real-world research and development often require solving complex, …
Patent classificationIMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents
In this paper, we introduce IMPACT (Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents), a large-scale multimodal patent dataset with detailed captions for design patent figures. Our dataset in…
Cross-Modal RetrievalImage ClassificationImage RetrievalPatent classification+5Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis
Patents are the currency of innovation, and like any currency, they need to be managed and protected (Gavin Potenza). Patents, as legal documents that secure intellectual property rights, play a critical role in technolo…
Abstractive Text SummarizationKnowledge GraphsManagementPatent classification+3Retrouver l'inventeur-auteur : la lev{é}e d'homonymies d'autorat entre les brevets et les publications scientifiques
Patents and scientific papers provide an essential source for measuring science and technology output, to be used as a basis for the most varied scientometric analyzes. Authors' and inventors' names are the key identifie…
Patent classificationSemantic Similarity Matching for Patent Documents Using Ensemble BERT-related Model and Novel Text Processing Method
In the realm of patent document analysis, assessing semantic similarity between phrases presents a significant challenge, notably amplifying the inherent complexities of Cooperative Patent Classification (CPC) research. …
Patent classificationSemantic SimilaritySemantic Textual SimilarityUnveiling Black-boxes: Explainable Deep Learning Models for Patent Classification
Recent technological advancements have led to a large number of patents in a diverse range of domains, making it challenging for human experts to analyze and manage. State-of-the-art methods for multi-label patent classi…
Decision MakingDeep LearningPatent classificationAdaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification
Patent classification aims to assign multiple International Patent Classification (IPC) codes to a given patent. Recent methods for automatically classifying patents mainly focus on analyzing the text descriptions of pat…
ClassificationPatent classificationEvent-based Dynamic Graph Representation Learning for Patent Application Trend Prediction
Accurate prediction of what types of patents that companies will apply for in the next period of time can figure out their development strategies and help them discover potential partners or competitors in advance. Altho…
ClassificationGraph LearningGraph Representation LearningPatent classification+1A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological Distance
Patent similarity analysis plays a crucial role in evaluating the risk of patent infringement. Nonetheless, this analysis is predominantly conducted manually by legal experts, often resulting in a time-consuming process.…
Patent classificationSemantic SimilaritySemantic Textual SimilarityMulti label classification of Artificial Intelligence related patents using Modified D2SBERT and Sentence Attention mechanism
Patent classification is an essential task in patent information management and patent knowledge mining. It is very important to classify patents related to artificial intelligence, which is the biggest topic these days.…
Deep LearningManagementMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATION+2CinPatent: Datasets for Patent Classification
Patent classification is the task that assigns each input patent into several codes (classes). Due to its high demand, several datasets and methods have been introduced. However, the lack of both systematic performance c…
ClassificationMulti Label Text ClassificationMulti-Label Text ClassificationPatent classification+6Technological taxonomies for hypernym and hyponym retrieval in patent texts
This paper presents an automatic approach to creating taxonomies of technical terms based on the Cooperative Patent Classification (CPC). The resulting taxonomy contains about 170k nodes in 9 separate technological branc…
Patent classificationRetrievalGuiding Data-Driven Design Ideation by Knowledge Distance
Data-driven conceptual design methods and tools aim to inspire human ideation for new design concepts by providing external inspirational stimuli. In prior studies, the stimuli have been limited in terms of coverage, gra…
Patent classificationRetrievalPatents Phrase to Phrase Semantic Matching Dataset
There are many general purpose benchmark datasets for Semantic Textual Similarity but none of them are focused on technical concepts found in patents and scientific publications. This work aims to fill this gap by presen…
Patent classificationSemantic Textual SimilarityA Survey on Sentence Embedding Models Performance for Patent Analysis
Patent data is an important source of knowledge for innovation research, while the technological similarity between pairs of patents is a key enabling indicator for patent analysis. Recently researchers have been using p…
Patent classificationSentenceSentence EmbeddingSentence-Embedding+3Automated Single-Label Patent Classification using Ensemble Classifiers
Many thousands of patent applications arrive at patent offices around the world every day. One important subtask when a patent application is submitted is to assign one or more classification codes from the complex and h…
ClassificationPatent classificationWord Embeddings