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Linking Entities in Short Texts Based on a Chinese Semantic Knowledge Base [chapter]

Yi Zeng, Dongsheng Wang, Tielin Zhang, Hao Wang, Hongwei Hao
2013 Communications in Computer and Information Science  
We validate the proposed method by linking 1232 entities mined from Sina Weibo to a Chinese Semantic knowledge base, resulting in an accuracy of 88.5%.  ...  Before importing new knowledge into the knowledge base, entity linking is required so that the entities in the new knowledge can be linked to the entities in the knowledge base.  ...  The task of entity linking is to link the entity name from Sina Weibo microblog posts to Baidu Encyclopedia knowledge base.  ... 
doi:10.1007/978-3-642-41644-6_25 fatcat:qflsjc5nwjdshefovm5ebkxq2i

Personal Attributes Extraction in Chinese Text Bakeoff in CLP 2014: Overview

Ruifeng Xu, Shuai Wang, Feng Shi, Jian Xu
2014 Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing  
The task organizer manually constructs the query names and corresponding documents.  ...  This task is designed to evaluate the techniques for extracting person specific attributes from unstructured Chinese texts, which is similar to slot filling, but focuses on person attributes.  ...  The task organizer provides a collection of documents corresponding to a target person and a knowledge base which contains partial list of attributes for the person.  ... 
doi:10.3115/v1/w14-6817 dblp:conf/acl-sighan/XuWSX14 fatcat:h2uvyjnbinec7gstl57mfuy5pa

Entity Linking from Microblogs to Knowledge Base Using ListNet Algorithm [chapter]

Yan Wang, Cheng Luo, Xin Li, Yiqun Liu, Min Zhang, Shaoping Ma
2013 Communications in Computer and Information Science  
Previous works mainly focus on linking mentioned names recognized in news or articles to knowledge base. However, in social network, user-generated content is quite different from typical news text.  ...  Entity Linking (EL) is a fundamental technology in Natural Language Processing and Knowledge Engineering.  ...  In the search engine, each entity in the knowledge base is organized as a document while each entity going to be linked is regarded as a query.  ... 
doi:10.1007/978-3-642-41644-6_26 fatcat:xnhukcedtrbdloodhlaapzdr34

Organizing Health Data Standards Based on Knowledge Map

Liu Shen, Panpan Deng, Haixia Sun
2019 Studies in Health Technology and Informatics  
Reference and inclusion relations among these standards were constructed into knowledge map. Until now there are 156 standards collected and 4796 reference relations linked within those standards.  ...  To facilitate easy use of health data standards, we collected health data standards and parsed them into more fine-grained knowledge units.  ...  Acknowledgements This work was supported by basic scientific research operating expenses of the central public welfare scientific research (Grant No. 2018PT33024) from Chinese Academy of Medical Sciences  ... 
doi:10.3233/shti190693 pmid:31438388 fatcat:46hdrdf5nzgctplrs4b3zapcni

A Multi-media Approach to Cross-lingual Entity Knowledge Transfer

Di Lu, Xiaoman Pan, Nima Pourdamghani, Shih-Fu Chang, Heng Ji, Kevin Knight
2016 Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
We also propose novel methods to learn entity priors from a large-scale HL corpus and knowledge base.  ...  Using Hausa and Chinese as the LLs and English as the HL, experiments show that our approach achieves 36.1% higher Hausa name tagging F-score over a costly supervised model, and 9.4% higher Chineseto-English  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.  ... 
doi:10.18653/v1/p16-1006 dblp:conf/acl/LuPPCJK16 fatcat:te3lsl65ifhgbbwi6b6q54aaka

NewsMiner: Multifaceted news analysis for event search

Lei Hou, Juanzi Li, Zhichun Wang, Jie Tang, Peng Zhang, Ruibing Yang, Qian Zheng
2015 Knowledge-Based Systems  
More specifically, we propose a co-mention and context based knowledge linking method and a topic-level social content alignment method to establish the links between news and external sources (i.e. knowledge  ...  How to organize and integrate news from multiple sources, and how to analyze and present news to users are two challenging problems.  ...  They mostly focused on linking entities to knowledge bases like DBpedia [27, 28] , while did not evaluate the effectiveness on Chinese knowledge base (e.g., Hudong, Baidu).  ... 
doi:10.1016/j.knosys.2014.11.017 fatcat:kcv3wemrazbirnerabgz2fbuee

Saarland University Spoken Language Systems Group at TAC KBP 2011

Fang Xu, Stefan Kazalski, Grzegorz Chrupala, Benjamin Roth, Xujian Zhao, Michael Wiegand, Dietrich Klakow
2011 Text Analysis Conference  
In this paper we describe our participation in the Knowledge Base Population (KBP) track at TAC 2011. The architecture of our slot filling system is the same as last year.  ...  We mainly focus on developing a new system for the cross-language entity linking task. We compare the performance of monolingual retrieval and cross-lingual retrieval for entity linking.  ...  Given an entity and a background document mentioning it, the entity linking task is to find whether the entity exists within the knowledge base (KB), or set as NIL if it cannot be found.  ... 
dblp:conf/tac/XuKCRZWK11 fatcat:55rvp273lrbyhf4xhvf4eioe7q

HLTCOE Participation in TAC KBP 2015: Cold Start and TEDL

Tim Finin, Dawn J. Lawrie, Paul McNamee, James Mayfield, Douglas W. Oard, Ning Gao, Nanyun Peng, Yiu-Chang Lin, Josh MacKin, Tim Dowd
2015 Text Analysis Conference  
The JHU HLTCOE participated in the Cold Start and the Trilingual Entity Linking and Discovery tasks of the 2015 Text Analysis Conference Knowledge Base Population evaluation.  ...  We used KELVIN in three runs and experimented with an alternate system for named entity recognition and linking for two additional runs.  ...  Many of the rules are logically sound and follow Linking to External Knowledge Bases Entities are linked to one more external knowledge bases.  ... 
dblp:conf/tac/FininLMMOGPLMD15 fatcat:b2vusx5jfrdcphhc373oytgzra

Classifying Articles in Chinese Wikipedia with Fine-Grained Named Entity Types

Jie Zhou, Bicheng Li, Yongwang Tang
2014 Journal of Computing Science and Engineering  
This paper describes a method of classifying named entities in Chinese Wikipedia with fine-grained types.  ...  Named entity classification of Wikipedia articles is a fundamental research area that can be used to automatically build large-scale corpora of named entity recognition or to support other entity processing  ...  These characteristics make Wikipedia an excellent resource for numerous NE applications, such as named entity recognition (NER) [2] , entity linking [3] , and entity knowledge base [4] .  ... 
doi:10.5626/jcse.2014.8.3.137 fatcat:z6hdhxqxc5ee7pqn4gmaf5oroi

Surprise! What's in a Cebuano or Hindi Name?

Jonathan May, Ada Brunstein, Prem Natarajan, Ralph Weischedel
2003 ACM Transactions on Asian Language Information Processing  
Empirical results are presented for creating training data and training a statistical name learning algorithm on Cebuano and Hindi in roughly three weeks time.  ...  Rapid development of several co-reference heuristics in Hindi are also described, and co-reference performance in Hindi is compared to previously developed English techniques.  ...  The most effective improvements to the algorithms, however, will come from the addition of lists based on world knowledge. Abbreviations, particularly those unique to the language in question (e.g.  ... 
doi:10.1145/979872.979873 fatcat:hfouq7p2gja5tpbp7vijbue2yq

Chinese Named Entity Recognition and Disambiguation Based on Wikipedia [chapter]

Yu Miao, Lv Yajuan, Liu Qun, Su Jinsong, Xiong Hao
2012 Communications in Computer and Information Science  
This paper presents a method for named entity recognition and disambiguation based on Wikipedia. First, we establish Wikipedia database using open source tools named JWPL.  ...  Second, we extract the definition term from the first sentence of Wikipedia page and use it as external knowledge in named entity recognition.  ...  Disambiguation page in wikipedia lists the entries which may refer to different entities and contains links to the basic page. It does a brief introduction of every entry in a sentence.  ... 
doi:10.1007/978-3-642-34456-5_25 fatcat:2pxwblajizak5fuididnkct3a4

ZSWSL Text Entailment Recognizing System at NTCIR-9 RITE Task

Ranxu Su, Sheng Shang, Pan Wang, Haixu Liu, Yan Zheng
2011 NTCIR Conference on Evaluation of Information Access Technologies  
Three classification models are used and compared for the classification task, Rule-based algorithms, SVM and C4.5. C4.5 gives the best result on testing data set.  ...  This paper describes our system on simplified Chinese textual entailment recognizing RITE task at NTCIR-9. Both lexical and semantic features are extracted using NLP methods.  ...  We use LibSVM [14] to perform SVM classification, RBF is chosen as the kernel function, grid search is applied for parameter estimation with a 10 folder cross validation.  ... 
dblp:conf/ntcir/SuSWLZ11 fatcat:xawf3yf7q5dsjaksi45uphalqa

The Task 2 of CIPS-SIGHAN 2012 Named Entity Recognition and Disambiguation in Chinese Bakeoff

Zhengyan He, Houfeng Wang, Sujian Li
2012 Workshop on Chinese Language Processing  
We manually construct query names and a knowledge base from Baike. Evaluation results show promising future of this field.  ...  Named entity recognition and disambiguation is an important task in natural language processing and knowledge base construction.  ...  step, or after the knowledge base linking phase.  ... 
dblp:conf/acl-sighan/HeWL12 fatcat:5ai7k5blinf2ldk3ipslbdjzgi

BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling [article]

Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, Peng Xu, Feijun Jiang, Yuxiang Hu, Chen Shi, Pascale Fung
2021 arXiv   pre-print
a bilingual knowledge base and cross-lingual transfer learning to improve the system performance under low resource condition.  ...  BiToD contains over 7k multi-domain dialogues (144k utterances) with a large and realistic bilingual knowledge base.  ...  The paper is organized as follows: We next describe the BiToD data collection methods in Section 2. We then describe our proposed tasks in section 3.  ... 
arXiv:2106.02787v1 fatcat:lv7g5b2uevcihjxkc3dpojm6gq

FRDC's Cross-lingual Entity Linking System at TAC 2013

Qingliang Miao, Ruiyu Fang, Yao Meng, Shu Zhang
2013 Text Analysis Conference  
In this paper, we present FRDC's system at participating in the cross-lingual entity linking (CLEL) tasks for the NIST Text Analysis Conference (TAC) Knowledge Base Population (KBP2013) track.  ...  In particular, we adopt a lexicon and rule based method for entity classification, a collaborative acronym expansion method and a heuristic combination ranking method that merged ListNet, SVM ranking with  ...  a Knowledge Base (KB).  ... 
dblp:conf/tac/MiaoFMZ13 fatcat:77rrw626t5gs5jqij72bziawdi
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