[HTML][HTML] Innovating patent retrieval: a comprehensive review of techniques, trends, and challenges in prior art searches
As the patent landscape continues to grow, so does the complexity of retrieving relevant
“prior art”,“background art”, or “state of the art” from an expanding pool of publicly available …
“prior art”,“background art”, or “state of the art” from an expanding pool of publicly available …
PatentNet: multi-label classification of patent documents using deep learning based language understanding
Patent classification is an expensive and time-consuming task that has conventionally been
performed by domain experts. However, the increase in the number of filed patents and the …
performed by domain experts. However, the increase in the number of filed patents and the …
Reducing biases towards minoritized populations in medical curricular content via artificial intelligence for fairer health outcomes
Biased information (recently termed bisinformation) continues to be taught in medical
curricula, often long after having been debunked. In this paper, we introduce bricc, a first-in …
curricula, often long after having been debunked. In this paper, we introduce bricc, a first-in …
Reducing the user labeling effort in effective high recall tasks by fine-tuning active learning
Abstract High recall Information REtrieval (HIRE) aims at identifying only and (almost) all
relevant documents for a given query. HIRE is paramount in applications such as systematic …
relevant documents for a given query. HIRE is paramount in applications such as systematic …
A bitwise approach on influence overload problem
Increasingly develo** online social networks has enabled users to send or receive
information very fast. However, due to the availability of an excessive amount of data in …
information very fast. However, due to the availability of an excessive amount of data in …
Patent prior art search using deep learning language model
A patent is one of the essential indicators of new technologies and business processes,
which becomes the main driving force of the companies and even the national …
which becomes the main driving force of the companies and even the national …
Relevance feedback strategies for recall-oriented neural information retrieval
T Kats, P van der Putten, J Scholtes - arxiv preprint arxiv:2311.15110, 2023 - arxiv.org
In a number of information retrieval applications (eg, patent search, literature review, due
diligence, etc.), preventing false negatives is more important than preventing false positives …
diligence, etc.), preventing false negatives is more important than preventing false positives …
Recall, Precision, and F-Measure for Evaluating Information Retrieval System in Electronic Document Management Systems (EDMS)
AF Sadeli, II Lawanda - Khizanah al-Hikmah: Jurnal …, 2023 - journal3.uin-alauddin.ac.id
Abstract The Legal Division of PT. ABC has implemented EDMS using the Integrated Legal
Document Management Application, Centralized Legal Administration System (CLAS), to …
Document Management Application, Centralized Legal Administration System (CLAS), to …
Relevance Feedback Strategies for Reducing Review Effort in Recall-Oriented Neural Information Retrieval
T Kats, P van der Putten, J Scholtes - Benelux Conference on Artificial …, 2023 - Springer
In a number of information retrieval applications, such as patent search, literature review,
and due diligence, preventing false negatives is more important than preventing false …
and due diligence, preventing false negatives is more important than preventing false …
EFFICIENT SEARCH TECHNIQUES ADOPTED FOR RETRIEVAL OF SCHOLARLY COMMUNICATION BY LIS PROFESSIONALS OF IITS'IN INDIA.
N Raj - Gyankosh: The Journal of Library & Information …, 2024 - search.ebscohost.com
Library and information professionals play a vital role in guiding users to authenticated
sources of information. Professionals need to get smarter about the tools, strategies, and …
sources of information. Professionals need to get smarter about the tools, strategies, and …