scholar.google.com › citations
Aug 23, 2019 � Distantly supervised relation extraction (RE) has been an effective way to find novel relational facts from text without a large amount of�...
Distantly supervised relation extraction (RE) has been an effective way to find novel relational facts from text without a large amount of well-labeled�...
Distantly supervised relation extraction (RE) has been an effective way to find novel relational facts from text without a large amount of well-labeled training�...
Distantly supervised relation extraction (RE) has been an effective way to find novel relational facts from text without a large amount of well-labeled training�...
Dec 25, 2021 � In this paper, (1) we propose a knowledge-aware framework to enhance word representations, which can highlight the importance of key words and relation clues.
This paper proposes a sentence-level attention model to select the valid instances, which makes full use of the supervision information from knowledge bases�...
Oct 12, 2022 � Distantly supervised relation extraction is chal- lenging due to the noise within data. Recent methods focus on exploiting bag representa-.
Jul 11, 2021 � We propose a new paradigm named retrieval-augmented distantly supervised relation extraction (ReadsRE), which can incorporate large-scale open-domain knowledge.
In the process of studying the informatization of relation extraction, people find that the concept of neural network can help to realize remote supervision and�...
Missing: Aware | Show results with:Aware
Distant supervision [3] is the most widely adopted method for relation extraction. How- ever, the distant supervised relation extraction method requires a�...