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Oct 6, 2021 · In this paper, we propose a boundary-aware approach for nested NER. First, word information is incorporated in the same dimension via Lexicon.
Oct 13, 2021 · In this paper, we propose a boundary-aware approach for nested NER. First, word information is incorporated in the same dimension via Lexicon.
Jun 7, 2024 · In this paper, we propose a boundary-aware approach for nested NER. First, word information is incorporated in the same dimension via Lexicon, ...
In this paper, we propose a boundary-aware approach for nested NER. First, word information is incorporated in the same dimension via Lexicon, in which ...
In this paper, we propose a boundary-aware approach for nested NER. First, word information is incorporated in the same dimension via Lexicon, in which ...
Named Entity Recognition (NER) is a funda- mental task in Natural Language Processing, concerned with identifying spans of text ex- pressing references to ...
May 23, 2011 · Instead of creating a deep nested object graph with passing the dependencies fro top to bottom, go horizontal and manage dependencies elsewhere.
Missing: Recognition | Show results with:Recognition
A nested named entity recognition model based on dual-flow features complementary is proposed for obtaining efficient feature information after text coding.
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Nested named entity recognition is a subtask of information extraction that seeks to locate and classify nested named entities (i.e., hierarchically structured ...
Dec 2, 2022 · This paper is the first one specifically dedicated to studying the few-shot nested NER task. Leveraging contextual dependency to distinguish nested entities.