A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Linking Entities in Short Texts Based on a Chinese Semantic Knowledge Base
[chapter]
2013
Communications in Computer and Information Science
Preserved Fulltext
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
2014
Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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]
2013
Communications in Computer and Information Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2019
Studies in Health Technology and Informatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2015
Knowledge-Based Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2011
Text Analysis Conference
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2015
Text Analysis Conference
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
2014
Journal of Computing Science and Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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?
2003
ACM Transactions on Asian Language Information Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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]
2012
Communications in Computer and Information Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2011
NTCIR Conference on Evaluation of Information Access Technologies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
2012
Workshop on Chinese Language Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2013
Text Analysis Conference
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 89,757 results