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Found 8 papers, 2 papers with code
Optimizing Group Utility in Itinerary Planning: A Strategic and Crowd-Aware Approach
Itinerary recommendation is a complex sequence prediction problem with numerous real-world applications.
Engineering Knowledge Graph from Patent Database
We propose a large, scalable engineering knowledge graph, comprising sets of (entity, relationship, entity) triples that are real-world engineering facts found in the patent database.
Data-Driven Design-by-Analogy: State of the Art and Future Directions
Design-by-Analogy (DbA) is a design methodology wherein new solutions, opportunities or designs are generated in a target domain based on inspiration drawn from a source domain; it can benefit designers in mitigating design fixation and improving design ideation outcomes.
EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant Tweets
In this paper, we present EPIC30M, a large-scale epidemic corpus that contains 30 millions micro-blog posts, i. e., tweets crawled from Twitter, from year 2006 to 2020.
CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding
However, none of the works perform crisis embedding and classification using state of the art attention-based deep neural networks models, such as Transformers and document-level contextual embeddings.
IPOD: An Industrial and Professional Occupations Dataset and its Applications to Occupational Data Mining and Analysis
Occupational data mining and analysis is an important task in understanding today's industry and job market.
Strategic and Crowd-Aware Itinerary Recommendation
There is a rapidly growing demand for itinerary planning in tourism but this task remains complex and difficult, especially when considering the need to optimize for queuing time and crowd levels for multiple users.
TechNet: Technology Semantic Network Based on Patent Data
The growing developments in general semantic networks, knowledge graphs and ontology databases have motivated us to build a large-scale comprehensive semantic network of technology-related data for engineering knowledge discovery, technology search and retrieval, and artificial intelligence for engineering design and innovation.
