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Found 6 papers, 1 papers with code
Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph
To capture the relation type inference logic of the paths, we propose to understand the unlabeled conceptual expressions by reconstructing the sentence from the relational graph (graph-to-text generation) in a self-supervised manner.
PCRED: Zero-shot Relation Triplet Extraction with Potential Candidate Relation Selection and Entity Boundary Detection
To address the above issues, we propose a novel method named PCRED for ZeroRTE with Potential Candidate Relation Selection and Entity Boundary Detection.
Kadabra: Adapting Kademlia for the Decentralized Web
A fundamental operation of applications in a decentralized Internet is data storage and retrieval.
Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network
To explore entity pairs that may be implicitly connected by relations, we propose a binary pointer network to extract overlapping relational triples relevant to each word sequentially and retain the information of previously extracted triples in an external memory.
WLAN-Log-Based Superspreader Detection in the COVID-19 Pandemic
Further, the evaluation shows no consistent differences among three vertex centrality measures for long-term (i. e., weekly) contact graphs, which necessitates the inclusion of SEIR simulation in our framework.
Social and Information Networks Computers and Society
Data Collection for Dialogue System: A Startup Perspective
In this paper, we present a study of crowdsourcing methods for a user intent classification task in our deployed dialogue system.
