Copertina

Patent-publication pairs for the detection of knowledge transfer from research to industry: reducing ambiguities with word embeddings and references

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lippert, Klaus, Förstner, Konrad U.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Evaluating the impact of word embeddings on similarity scoring in practical information retrieval
di: McCarroll, Niall, et al.
Pubblicazione: (2026)

New Method for Keyword Extraction for Patent Claims
di: Rossi, Julien
Pubblicazione: (2024)

Efficient Patent Searching Using Graph Transformers
di: Daniell, Krzysztof, et al.
Pubblicazione: (2025)

Big data searching using words
di: Acharjee, Santanu, et al.
Pubblicazione: (2024)

Natural Language Processing tools for Pharmaceutical Manufacturing Information Extraction from Patents
di: Alvarado-Maldonado, Diego, et al.
Pubblicazione: (2025)

On the effective transfer of knowledge from English to Hindi Wikipedia
di: Das, Paramita, et al.
Pubblicazione: (2024)

Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance
di: Peter, Silvan David, et al.
Pubblicazione: (2023)

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction
di: Shan, Jinzhi, et al.
Pubblicazione: (2024)

Research on Evaluation Methods for Patent Novelty Search Systems and Empirical Analysis
di: Zhang, Shu, et al.
Pubblicazione: (2025)

ClaimCompare: A Data Pipeline for Evaluation of Novelty Destroying Patent Pairs
di: Parikh, Arav, et al.
Pubblicazione: (2024)

Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph
di: Xiong, Qiushi, et al.
Pubblicazione: (2025)

Patent Novelty Assessment Accelerating Innovation and Patent Prosecution
di: Kashyap, Kapil, et al.
Pubblicazione: (2025)

Enhanced document retrieval with topic embeddings
di: Huseynova, Kavsar, et al.
Pubblicazione: (2024)

LLM-powered Real-time Patent Citation Recommendation for Financial Technologies
di: Deng, Tianang, et al.
Pubblicazione: (2026)

Jasper and Stella: distillation of SOTA embedding models
di: Zhang, Dun, et al.
Pubblicazione: (2024)

Seed-based information retrieval in networks of research publications: Evaluation of direct citations, bibliographic coupling, co-citations and PubMed related article score
di: Sjögårde, Peter, et al.
Pubblicazione: (2024)

Vector embedding of multi-modal texts: a tool for discovery?
di: Plale, Beth, et al.
Pubblicazione: (2025)

A Survey on Patent Analysis: From NLP to Multimodal AI
di: Shomee, Homaira Huda, et al.
Pubblicazione: (2024)

A large collection of bioinformatics question-query pairs over federated knowledge graphs: methodology and applications
di: Bolleman, Jerven, et al.
Pubblicazione: (2024)

PARK: Personalized academic retrieval with knowledge-graphs
di: Kasela, Pranav, et al.
Pubblicazione: (2025)

Exploring usability of Reddit in data science and knowledge processing
di: Sawicki, Jan, et al.
Pubblicazione: (2021)

PatentEdits: Framing Patent Novelty as Textual Entailment
di: Lee, Ryan, et al.
Pubblicazione: (2024)

Chemical Reaction Extraction from Long Patent Documents
di: Jadhav, Aishwarya, et al.
Pubblicazione: (2024)

Universal and specific features of Ukrainian economic research: publication analysis based on Crossref data
di: Mryglod, O., et al.
Pubblicazione: (2021)

Digital gazetteers: review and prospects for place name knowledge bases
di: Wijegunarathna, Kalana, et al.
Pubblicazione: (2025)

Multi-word Term Embeddings Improve Lexical Product Retrieval
di: Shcherbakov, Viktor, et al.
Pubblicazione: (2024)

Citation-Driven Multi-View Training for Patent Embeddings: QaECTER and Sophia-Bench
di: Djemmal, Younes, et al.
Pubblicazione: (2026)

FullRecall: A Semantic Search-Based Ranking Approach for Maximizing Recall in Patent Retrieval
di: Ali, Amna, et al.
Pubblicazione: (2025)

WISDOM: An AI-powered framework for emerging research detection using weak signal analysis and advanced topic modeling
di: Ebadi, Ashkan, et al.
Pubblicazione: (2024)

Large language models for post-publication research evaluation: Evidence from expert recommendations and citation indicators
di: Wu, Mengjia, et al.
Pubblicazione: (2026)

OLS4: A new Ontology Lookup Service for a growing interdisciplinary knowledge ecosystem
di: McLaughlin, James, et al.
Pubblicazione: (2025)

PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph
di: Miao, Ran, et al.
Pubblicazione: (2024)

Automated Neural Patent Landscaping in the Small Data Regime
di: Erana, Tisa Islam, et al.
Pubblicazione: (2024)

Improving feature interactions at Pinterest under industry constraints
di: Malreddy, Siddarth, et al.
Pubblicazione: (2024)

Assessing the performance of 8 AI chatbots in bibliographic reference retrieval: Grok and DeepSeek outperform ChatGPT, but none are fully accurate
di: Cabezas-Clavijo, Álvaro, et al.
Pubblicazione: (2025)

Heterogeneous co-occurrence embedding for visual information exploration
di: Ishida, Takuro, et al.
Pubblicazione: (2025)

Measuring publication relatedness using controlled vocabularies
di: Alnor, Emil Dolmer
Pubblicazione: (2024)

How public datasets constrain the development of diversity-aware news recommender systems, and what law could do about it
di: van Drunen, Max, et al.
Pubblicazione: (2025)

Large-Scale Text Analysis Using Generative Language Models: A Case Study in Discovering Public Value Expressions in AI Patents
di: Pelaez, Sergio, et al.
Pubblicazione: (2023)

Claraprint: a chord and melody based fingerprint for western classical music cover detection
di: Arcos, Mickaël
Pubblicazione: (2020)