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Label-Guided relation prototype generation for Continual Relation Extraction [PDF]
PeerJ Computer ScienceContinual relation extraction (CRE) aims to extract relations towards the continuous and iterative arrival of new data. To address the problem of catastrophic forgetting, some existing research endeavors have focused on exploring memory replay methods by
Shuang Liu +3 more
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Biomedical Relationship Extraction Method Based on Prompt Learning [PDF]
Jisuanji kexue, 2023 Extracting the relationship between entities from unstructured biomedical text data is of great significance for the development of biomedical informatization.At the same time,it is also a research hotspot in the field of natural language processing.At ...
WEN Kunjian, CHEN Yanping, HUANG Ruizhang, QIN Yongbin
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Joint extraction of entities and relations by entity role recognition
Cognitive Robotics, 2022 Joint extracting entities and relations from unstructured text is a fundamental task in information extraction and a key step in constructing large knowledge graphs, entities and relations are constructed as relational triples of the form (subject ...
Xi Han, Qi-Ming Liu
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Entropy, 2023 Implicit discourse relation recognition (IDRR) has long been considered a challenging problem in shallow discourse parsing. The absence of connectives makes such relations implicit and requires much more effort to understand the semantics of the text ...
Zhongyang Fang +5 more
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A Study on Double-Headed Entities and Relations Prediction Framework for Joint Triple Extraction
Mathematics, 2023 Relational triple extraction, a fundamental procedure in natural language processing knowledge graph construction, assumes a crucial and irreplaceable role in the domain of academic research related to information extraction.
Yanbing Xiao +6 more
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Chinese Relation Extraction Using Extend Softword
IEEE Access, 2021 In recent years, many scholars have chosen to use word lexicons to incorporate word information into a model based on character input to improve the performance of Chinese relation extraction (RE). For example, Li et al.
Bo Kong +4 more
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Exploiting sequence labeling framework to extract document-level relations from biomedical texts
BMC Bioinformatics, 2020 Background Both intra- and inter-sentential semantic relations in biomedical texts provide valuable information for biomedical research. However, most existing methods either focus on extracting intra-sentential relations and ignore inter-sentential ones
Zhiheng Li +5 more
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IEEE Access, 2022 The third-generation semiconductor materials (TGSMs) is a frontier scientific domain, where researchers need to consult extensive literature for the entity information on materials, devices, preparation methods, and experimental performances, and sort ...
Xiaobo Jiang, Kun He, Borui Yang
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Exploring a Multi-Layered Cross-Genre Corpus of Document-Level Semantic Relations
Information, 2023 This paper introduces a multi-layered cross-genre corpus, annotated for coreference resolution, causal relations, and temporal relations, comprising a variety of genres, from news articles and children’s stories to Reddit posts.
Gregor Williamson +5 more
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AI Open, 2020 Event is a common but non-negligible knowledge type. How to identify events from texts, extract their arguments, even analyze the relations between different events are important for many applications.
Kang Liu +4 more
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