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Found 7 papers, 2 papers with code
Reconstructing Implicit Knowledge with Language Models
In this work we propose an approach for generating statements that explicate implicit knowledge connecting sentences in text.
CO-NNECT: A Framework for Revealing Commonsense Knowledge Paths as Explicitations of Implicit Knowledge in Texts
We conduct evaluations on two argumentative datasets and show that a combination of the two model types generates meaningful, high-quality knowledge paths between sentences that reveal implicit knowledge conveyed in text.
COCO-EX: A Tool for Linking Concepts from Texts to ConceptNet
COCO-EX extracts meaningful concepts from natural language texts and maps them to conjunct concept nodes in ConceptNet, utilizing the maximum of relational information stored in the ConceptNet knowledge graph.
Implicit Knowledge in Argumentative Texts: An Annotated Corpus
When speaking or writing, people omit information that seems clear and evident, such that only part of the message is expressed in words.
Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting
Commonsense knowledge relations are crucial for advanced NLU tasks.
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention
Detecting aspectual properties of clauses in the form of situation entity types has been shown to depend on a combination of syntactic-semantic and contextual features.
