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Qi Meng, Xixiang Zhang, Yun Dong, Yan Chen and Dezhao Lin
Relationship extraction is a crucial step in the construction of a knowledge graph. In this research, the grid field entity relationship extraction was performed via a labeling approach that used span representation. The subject entity and object entity ...
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Li He, Qian Zhang, Jianyong Duan and Hao Wang
Open-domain event extraction is a fundamental task that aims to extract non-predefined types of events from news clusters. Some researchers have noticed that its performance can be enhanced by improving dependency relationships. Recently, graphical convo...
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Yunlong Fan, Bin Li, Yikemaiti Sataer, Miao Gao, Chuanqi Shi, Siyi Cao and Zhiqiang Gao
Hierarchical clause annotation could be applied in many downstream tasks of natural language processing, including abstract meaning representation parsing, semantic dependency parsing, text summarization, argument mining, information extraction, question...
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Yifei Wang, Yongwei Wang, Hao Hu, Shengnan Zhou and Qinwu Wang
In order to solve the current problems in domain long text classification tasks, namely, the long length of a document, which makes it difficult for the model to capture key information, and the lack of expert domain knowledge, which leads to insufficien...
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Benjamin Shade and Eduardo G. Altmann
Quantifying the dissimilarity of two texts is an important aspect of a number of natural language processing tasks, including semantic information retrieval, topic classification, and document clustering. In this paper, we compared the properties and per...
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Guangming Ling, Xiaofeng Mu, Chao Wang and Aiping Xu
Address parsing is a crucial task in natural language processing, particularly for Chinese addresses. The complex structure and semantic features of Chinese addresses present challenges due to their inherent ambiguity. Additionally, different task scenar...
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Bin Li, Yunlong Fan, Yikemaiti Sataer, Zhiqiang Gao and Yaocheng Gui
Semantic dependency parsing could be applied in many downstream tasks of natural language processing, including named entity recognition, information extraction, machine translation, sentiment analysis, question generation, question answering, etc.
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Siyuan Du and Hao Wang
State-of-the-art methods for metonymy resolution (MR) consider the sentential context by modeling the entire sentence. However, entity representation, or syntactic structure that are informative may be beneficial for identifying metonymy. Other approache...
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Tajana Ban Kirigin, Sanda Bujacic Babic and Benedikt Perak
We present a graph-based method for the lexical task of labeling senses of polysemous lexemes. The labeling task aims at generalizing sense features of a lexical item in a corpus using more abstract concepts. In this method, a coordination dependency-bas...
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Zongcai Huang, Peiyuan Qiu, Li Yu and Feng Lu
Geographic relation completion contributes greatly to improving the quality of large-scale geographic knowledge graphs (GeoKGs). However, the internal features of a GeoKG used in large-scale GeoKGs embedding are often limited by the weak connectivity bet...
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