Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Oag-bench: a human-curated benchmark for academic graph mining
With the rapid proliferation of scientific literature, versatile academic knowledge services
increasingly rely on comprehensive academic graph mining. Despite the availability of …
increasingly rely on comprehensive academic graph mining. Despite the availability of …
A single vector is not enough: Taxonomy expansion via box embeddings
Taxonomies, which organize knowledge hierarchically, support various practical web
applications such as product navigation in online shop** and user profile tagging on …
applications such as product navigation in online shop** and user profile tagging on …
Yago 4.5: A large and clean knowledge base with a rich taxonomy
Knowledge Bases (KBs) find applications in many knowledge-intensive tasks and, most
notably, in information retrieval. Wikidata is one of the largest public general-purpose KBs …
notably, in information retrieval. Wikidata is one of the largest public general-purpose KBs …
-generAItor: Tree-in-the-loop Text Generation for Language Model Explainability and Adaptation
Large language models (LLMs) are widely deployed in various downstream tasks, eg, auto-
completion, aided writing, or chat-based text generation. However, the considered output …
completion, aided writing, or chat-based text generation. However, the considered output …
TaxoLLaMA: WordNet-based model for solving multiple lexical semantic tasks
V Moskvoretskii, E Neminova, A Lobanova… - arxiv preprint arxiv …, 2024 - arxiv.org
In this paper, we explore the capabilities of LLMs in capturing lexical-semantic knowledge
from WordNet on the example of the LLaMA-2-7b model and test it on multiple lexical …
from WordNet on the example of the LLaMA-2-7b model and test it on multiple lexical …
Taxonomy completion via implicit concept insertion
\beginabstract High quality taxonomies play a critical role in various domains such as e-
commerce, web search and ontology engineering. While there has been extensive work on …
commerce, web search and ontology engineering. While there has been extensive work on …
FLAME: Self-Supervised Low-Resource Taxonomy Expansion using Large Language Models
Taxonomies represent an arborescence hierarchical structure that establishes relationships
among entities to convey knowledge within a specific domain. They find utility in various real …
among entities to convey knowledge within a specific domain. They find utility in various real …
Taxocomplete: Self-supervised taxonomy completion leveraging position-enhanced semantic matching
Taxonomies are used to organize knowledge in many applications, including recommender
systems, content browsing, or web search. With the emergence of new concepts, static …
systems, content browsing, or web search. With the emergence of new concepts, static …
Which is better? Taxonomy induction with learning the optimal structure via contrastive learning
A taxonomy represents a hierarchically structured knowledge graph that forms the
infrastructure for various downstream applications, including recommender systems, web …
infrastructure for various downstream applications, including recommender systems, web …
Ontology enrichment from texts: A biomedical dataset for concept discovery and placement
Mentions of new concepts appear regularly in texts and require automated approaches to
harvest and place them into Knowledge Bases (KB), eg, ontologies and taxonomies …
harvest and place them into Knowledge Bases (KB), eg, ontologies and taxonomies …