Results 1 to 10 of about 104,722,032 (302)
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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Global Relation Embedding for Relation Extraction [PDF]
Proceedings of the 2018 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language
Technologies, Volume 1 (Long Papers), 2018 We study the problem of textual relation embedding with distant supervision. To combat the wrong labeling problem of distant supervision, we propose to embed textual relations with global statistics of relations, i.e., the co-occurrence statistics of textual and knowledge base relations collected from the entire corpus.
Yu Su 0001 +5 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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Automatic relationship extraction from agricultural text for ontology construction
Information Processing in Agriculture, 2018 In the present era of Big Data the demand for developing efficient information processing techniques for different applications is expanding steadily. One such possible application is automatic creation of ontology.
Neha Kaushik, Niladri Chatterjee
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Review of Text-Oriented Entity Relation Extraction Research [PDF]
Jisuanji kexue yu tansuoInformation extraction is the foundation of knowledge graph construction, and relation extraction, as a key process and core step of information extraction, aims to locate entities from text data and recognize semantic links between entities.
REN Anqi, LIU Lin, WANG Hailong, LIU Jing
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EANT: Distant Supervision for Relation Extraction with Entity Attributes via Negative Training
Applied Sciences, 2022 Distant supervision for relation extraction (DSRE) automatically acquires large-scale annotated data by aligning the corpus with the knowledge base, which dramatically reduces the cost of manual annotation.
Xuxin Chen, Xinli Huang
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Relation extraction for biological pathway construction using node2vec
BMC Bioinformatics, 2018 Background Systems biology is an important field for understanding whole biological mechanisms composed of interactions between biological components.
Munui Kim, Seung Han Baek, Min Song
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