Results 61 to 70 of about 3,831,007 (189)

Learning Relatedness Measures for Entity Linking [PDF]

, 2013
Entity Linking is the task of detecting, in text documents, relevant mentions to entities of a given knowledge base. To this end, entity-linking algorithms use several signals and features extracted from the input text or from the knowl- edge base.
Lucchese, Claudio, Orlando, Salvatore, Salvatore Orlando, Salvatore Trani, Trani, Salvatore, Diego Ceccarelli, Claudio Lucchese, Raffaele Perego, Salvatore Orl, Ceccarelli, Diego, Perego, Raffaele, Diego Ceccarelli, Claudio Lucchese, Salvatore Trani, Salvatore Orlando, Raffaele Perego   +15 more
core   +1 more source

Exploiting Multiple Embeddings for Chinese Named Entity Recognition [PDF]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Identifying the named entities mentioned in text would enrich many semantic applications at the downstream level. However, due to the predominant usage of colloquial language in microblogs, the named entity recognition (NER) in Chinese microblogs experience significant performance deterioration, compared with performing NER in formal Chinese corpus. In
Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li   +3 more
openaire   +4 more sources

Label-Guided Data Augmentation for Chinese Named Entity Recognition

Applied Sciences
Chinese named entity recognition (NER) is a fundamental natural language processing (NLP) task that involves identifying and categorizing entities in text.
Miao Jiang, Honghui Chen
doaj   +1 more source

Chinese named entity recognition with cascaded hybrid model [PDF]

Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX - NAACL '07, 2007
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically well-founded machine learning method to combine a set of weak classifiers together into a base system. Secondly, we introduce various types of heuristic human knowledge into Markov Logic Networks (MLNs), an effective combination ...
openaire   +2 more sources

An ERNIE-Based Joint Model for Chinese Named Entity Recognition

Applied Sciences, 2020
Named Entity Recognition (NER) is the fundamental task for Natural Language Processing (NLP) and the initial step in building a Knowledge Graph (KG). Recently, BERT (Bidirectional Encoder Representations from Transformers), which is a pre-training model,
Yu Wang, Yining Sun, Zuchang Ma, Lisheng Gao, Yang Xu   +4 more
doaj   +1 more source

Deep adaptation of CNN in Chinese named entity recognition

Engineering Reports, 2023
Named entity recognition (NER) is an important task in the field of natural language processing, but it is more challenging in Chinese because of the lack of natural delimiters.
Yana Lv, Xutong Qin, Xiuli Du, Shaoming Qiu   +3 more
doaj   +1 more source

Robust Chinese Named Entity Recognition Based on Fusion Graph Embedding

, 2023
Named entity recognition is an important basic task in the field of natural language processing. The current mainstream named entity recognition methods are mainly based on the deep neural network model.
Xuhui Song, Huansha Wang, Hongtao Yu, Shaomei Li   +3 more
core   +1 more source

Chinese Named Entity Recognition Method Based on Bidirectional LSTMCNNCRF

Journal of Harbin University of Science and Technology, 2020
Traditional algorithms of named entity recognition rely on a large number of artificial features and external knowledge To solve this problem, we propose a novel neural network structure which combines the bidirectional LSTM(Long ShortTerm Memory), CNN ...
LIU Yu-peng, LI Dong-dong
doaj   +1 more source

A Weakly Supervised Chinese Named Entity Recognition Method Combining First-Order Logic

IEEE Access
Named entity recognition is a key prerequisite for many tasks. However, the high cost of entity annotation limits feature learning and generalization capabilities of models. To address this problem, this paper integrates the weakly supervised method with
Xi Tang, Dongchen Jiang
doaj   +1 more source

Chinese Medical Named Entity Recognition Integrating Multi-Level Granular Features [PDF]

Jisuanji gongcheng
Chinese medical Named Entity Recognition (NER) aims to identify entities with specific meanings from medical texts, such as diseases, drugs, symptoms, and anatomical parts.
DAI Zinan, ZHANG Jie, CHEN Chongchong, CHEN Zhangyi, CHEN Fulong
doaj   +1 more source