Chinese named entity recognition survey
WebJan 12, 2024 · Chinese named entity recognition has been widely used in many fields, such as species recognition in marine information, and so on. Compared with the standard named entity recognition (NER), the performance of the Chinese marine named entity recognition is low, which is mainly limited by the normative nature of the text and the … WebNamed Entity Recognition (NER), the first step of information extraction, mainly identifies names of persons, locations, and organizations in text. Although existing neural-based NER approaches achieve great success in many language domains, most of them normally ignore the nested nature of named entities. Recently, diverse studies focus on the ...
Chinese named entity recognition survey
Did you know?
Web2 days ago · Abstract. In this paper, we aim to explore an uncharted territory, which is Chinese multimodal named entity recognition (NER) with both textual and acoustic contents. To achieve this, we construct a large-scale human-annotated Chinese … WebApr 4, 2024 · Abstract. Natural language processing is an important research direction and research hotspot in the field of artificial intelligence. Named entity recognition is one of the key tasks, which is to ...
WebMar 7, 2024 · Chinese Named Entity Recognition (NER) is an important task in Chinese natural language processing, which has been widely used in automatic question answering, reading comprehension, knowledge graph, machine translation and other fields. WebIntent classification and named entity recognition of medical questions are two key subtasks of the natural language understanding module in the question answering system. Most existing methods usually treat medical queries intent classification and named entity recognition as two separate tasks, ignoring the close relationship between the two …
WebMar 2, 2024 · Named entity recognition of forest diseases plays a key role in knowledge extraction in the field of forestry. The aim of this paper is to propose a named entity recognition method based on multi-feature embedding, a transformer encoder, a bi-gated recurrent unit (BiGRU), and conditional random fields (CRF). According to the … WebOct 25, 2024 · Named Entity Recognition (NER) is a key component in NLP systems for question answering, information retrieval, relation extraction, etc. NER systems have been studied and developed widely for decades, but accurate systems using deep neural networks (NN) have only been introduced in the last few years.
WebNamed entity recognition (NER) is a fundamental task in natural language processing. In Chinese NER, additional resources such as lexicons, syntactic features and knowledge graphs are usually introduced to improve the recognition performance of the model. …
WebJan 13, 2024 · In this paper, we introduce the NER dataset from CLUE organization (CLUENER2024), a well-defined fine-grained dataset for named entity recognition in Chinese. CLUENER2024 contains 10 categories. Apart from common labels like person, … dutchmen toy hauler 2021WebApr 11, 2024 · Specifically, we present the graph construction technologies including named entity recognition, relation extraction and event extraction. Analogously, we survey the knowledge completion technologies which include entity linking and knowledge representation learning. The taxonomy of this survey is described in Figure 2. Figure 2. dutchmen rv parts and accessoriesWebJan 12, 2024 · Named Entity Recognition (NER) [ 17] is a method that can determine the entity boundaries then classify entities into predetermined categories including person, location and organization [ 3 ]. For instance, NER needs to identify that Jack in “Jack is my friend.” is a person. crystal art notebooksWebFeb 14, 2024 · Geological named entity recognition is a domain-specific named entity recognition that aims to identify some important concepts in geology, including geological age, geological formations, stratigraphy, rocks, minerals and locations (Qiu, Xie, Wu, & Tao, 2024). Several scholars have conducted research on geological named entity … dutchmen triton 4271 for saleWebDec 5, 2024 · Considering the aforementioned issues, this paper proposes a referent graph embedding model for NER (RGE-NER) considering the Chinese car reviews. The RGE-NER model consists of two sub-models: (1) candidate entity referent graph model and (2) joint embedding deep learning model. First, we design word-based and pronunciation … dutchmen rv astoria 3313rlWebAug 7, 2024 · Abstract. Most Chinese Named Entity Recognition (CNER) models based on deep learning are implemented based on long short-term memory networks (LSTM) and conditional random fields (CRF). The serialized structure of LSTM is easily affected by word ambiguity and lack of word boundary information. In this regard, we propose a Chinese … dutchmodelshopWebJun 29, 2024 · Abstract. In this paper, a survey is done to introduce the named entity recognition task in Chinese medical text and its practical significance. First, the existing datasets for the named entity recognition task of Chinese medical text are presented, … crystal art gallery shelf