@inproceedings{DBLP:conf/flairs/ShahzadAEN21,

title = {InferNER: an attentive model leveraging the sentence-level information 

for Named Entity Recognition in Microblogs},

author = {Moemmur Shahzad and 

Ayesha Amin and 

Diego Esteves and 

Axel-Cyrille Ngonga Ngomo},

url = {https://doi.org/10.32473/flairs.v34i1.128538},

doi = {10.32473/flairs.v34i1.128538},

year  = {2021},

date = {2021-01-01},

booktitle = {Proceedings of the Thirty-Fourth International Florida Artificial 

Intelligence Research Society Conference, North Miami Beach, Florida, 

USA, May 17-19, 2021},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ida/EstevesMCF021,

title = {ŐRUS-NER: A Multimodal Named Entity Recognition Framework for 

Noisy Data},

author = {Diego Esteves and 

José Marcelino and 

Piyush Chawla and 

Asja Fischer and 

Jens Lehmann},

url = {https://doi.org/10.1007/978-3-030-74251-5_8},

doi = {10.1007/978-3-030-74251-5_8},

year  = {2021},

date = {2021-01-01},

booktitle = {Advances in Intelligent Data Analysis XIX - 19th International Symposium 

on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 

2021, Proceedings},

volume = {12695},

pages = {89--100},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/webi/AzevedoREC21,

title = {Towards Better Evidence Extraction Methods for Fact-Checking Systems},

author = {Pedro Azevedo and 

Gil Rocha and 

Diego Esteves and 

Henrique Lopes Cardoso},

url = {https://doi.org/10.1145/3486622.3493930},

doi = {10.1145/3486622.3493930},

year  = {2021},

date = {2021-01-01},

booktitle = {WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, 

Melbourne VIC Australia, December 14 - 17, 2021},

pages = {277--284},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/esws/ChauE020,

title = {A Neural-based model to Predict the Future Natural Gas Market Price 

through Open-domain Event Extraction},

author = {Minh Triet Chau and 

Diego Esteves and 

Jens Lehmann},

url = {http://ceur-ws.org/Vol-2611/paper2.pdf},

year  = {2020},

date = {2020-01-01},

booktitle = {Proceedings of the 1st International Workshop on Cross-lingual Event-centric 

Open Analytics co-located with the 17th Extended Semantic Web Conference 

(ESWC 2020), Heraklion, Crete, Greece, June 3, 2020 (online event 

due to COVID-19 outbreak)},

volume = {2611},

pages = {17--31},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/epia/ChawlaEP019,

title = {SimpleLSTM: A Deep-Learning Approach to Simple-Claims Classification},

author = {Piyush Chawla and 

Diego Esteves and 

Karthik Pujar and 

Jens Lehmann},

url = {https://doi.org/10.1007/978-3-030-30244-3_21},

doi = {10.1007/978-3-030-30244-3_21},

year  = {2019},

date = {2019-01-01},

booktitle = {Progress in Artificial Intelligence, 19th EPIA Conference on Artificial 

Intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019, 

Proceedings, Part II},

volume = {11805},

pages = {244--255},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/lrec/MoussallemSEZN18,

title = {LIdioms: A Multilingual Linked Idioms Data Set},

author = {Diego Moussallem and 

Mohamed Ahmed Sherif and 

Diego Esteves and 

Marcos Zampieri and 

Axel-Cyrille Ngonga Ngomo},

url = {http://www.lrec-conf.org/proceedings/lrec2018/summaries/46.html},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the Eleventh International Conference on Language Resources 

and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018},

publisher = {European Language Resources Association (ELRA)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/NetoKKPEH17,

title = {IDOL: Comprehensive & Complete LOD Insights},

author = {Ciro Baron Neto and 

Dimitris Kontokostas and 

Amit Kirschenbaum and 

Gustavo Correa Publio and 

Diego Esteves and 

Sebastian Hellmann},

url = {https://doi.org/10.1145/3132218.3132238},

doi = {10.1145/3132218.3132238},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the 13th International Conference on Semantic Systems, 

SEMANTiCS 2017, Amsterdam, The Netherlands, September 11-14, 2017},

pages = {49--56},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/CoelhoMPE17,

title = {TANKER: Distributed Architecture for Named EntityRecognition and 

Disambiguation},

author = {Sandro A. Coelho and 

Diego Moussallem and 

Gustavo Publio and 

Diego Esteves},

url = {http://ceur-ws.org/Vol-2044/paper5/},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the Posters and Demos Track of the 13th International 

Conference on Semantic Systems - SEMANTiCS2017 co-located with the 

13th International Conference on Semantic Systems (SEMANTiCS 2017), 

Amsterdam, The Netherlands, September 11-14, 2017},

volume = {2044},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/SoruMMPVEN17,

title = {SPARQL as a Foreign Language},

author = {Tommaso Soru and 

Edgard Marx and 

Diego Moussallem and 

Gustavo Publio and 

Andre Valdestilhas and 

Diego Esteves and 

Ciro Baron Neto},

url = {http://ceur-ws.org/Vol-2044/paper14/},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the Posters and Demos Track of the 13th International 

Conference on Semantic Systems - SEMANTiCS2017 co-located with the 

13th International Conference on Semantic Systems (SEMANTiCS 2017), 

Amsterdam, The Netherlands, September 11-14, 2017},

volume = {2044},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/icwe/EstevesPLN17,

title = {Named Entity Recognition in Twitter Using Images and Text},

author = {Diego Esteves and 

Rafael Peres and 

Jens Lehmann and 

Giulio Napolitano},

url = {https://doi.org/10.1007/978-3-319-74433-9_17},

doi = {10.1007/978-3-319-74433-9_17},

year  = {2017},

date = {2017-01-01},

booktitle = {Current Trends in Web Engineering - ICWE 2017 International Workshops, 

Liquid Multi-Device Software and EnWoT, practi-O-web, NLPIT, SoWeMine, 

Rome, Italy, June 5-8, 2017, Revised Selected Papers},

volume = {10544},

pages = {191--199},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/kcap/PeresEM17,

title = {Bidirectional LSTM with a Context Input Window for Named Entity 

Recognition in Tweets},

author = {Rafael Peres and 

Diego Esteves and 

Gaurav Maheshwari},

url = {https://doi.org/10.1145/3148011.3154478},

doi = {10.1145/3148011.3154478},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the Knowledge Capture Conference, K-CAP 2017, Austin, 

TX, USA, December 4-6, 2017},

pages = {42:1--42:4},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/webi/DuarteCCE17,

title = {An interoperable service for the provenance of machine learning experiments},

author = {Julio Cesar Duarte and 

Maria Cláudia Reis Cavalcanti and 

Igor de Souza Costa and 

Diego Esteves},

url = {https://doi.org/10.1145/3106426.3106496},

doi = {10.1145/3106426.3106496},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the International Conference on Web Intelligence, Leipzig, 

Germany, August 23-26, 2017},

pages = {132--138},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/webi/EstevesMSNLND17,

title = {LOG4MEX: a library to export machine learning experiments},

author = {Diego Esteves and 

Diego Moussallem and 

Tommaso Soru and 

Ciro Baron Neto and 

Jens Lehmann and 

Axel-Cyrille Ngonga Ngomo and 

Julio Cesar Duarte},

url = {https://doi.org/10.1145/3106426.3106530},

doi = {10.1145/3106426.3106530},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the International Conference on Web Intelligence, Leipzig, 

Germany, August 23-26, 2017},

pages = {139--145},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/EstevesMMDZL16,

title = {MEX Interfaces: Automating Machine Learning Metadata Generation},

author = {Diego Esteves and 

Pablo N. Mendes and 

Diego Moussallem and 

Julio Cesar Duarte and 

Amrapali Zaveri and 

Jens Lehmann},

url = {https://doi.org/10.1145/2993318.2993320},

doi = {10.1145/2993318.2993320},

year  = {2016},

date = {2016-01-01},

booktitle = {Proceedings of the 12th International Conference on Semantic Systems, 

SEMANTiCS 2016, Leipzig, Germany, September 12-15, 2016},

pages = {17--24},

publisher = {ACM},

abstract = {Despite recent efforts to achieve a high level of interoperability of Machine Learning (ML) experiments, positively collaborating with the Reproducible Research context, we still run into the problems created due to the existence of different ML platforms: each of those have a specific conceptualization or schema for representing data and metadata. This scenario leads to an extra coding-effort to achieve both the desired interoperability and a better provenance level as well as a more automatized environment for obtaining the generated results. Hence, when using ML libraries, it is a common task to re-design specific data models (schemata) and develop wrappers to manage the produced outputs. In this article, we discuss this gap focusing on the solution for the question: textasciigravetextasciigraveWhat is the cleanest and lowest-impact solution to achieve both higher interoperability and provenance metadata levels in the Integrated Development Environments (IDE) context and how to facilitate the inherent data querying task?''. We introduce a novel and low impact methodology specifically designed for code built in that context, combining semantic web concepts and reflection in order to minimize the gap for exporting ML metadata in a structured manner, allowing embedded code annotations that are, in run-time, converted in one of the state-of-the-art ML schemas for the Semantic Web: the MEX Vocabulary.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/NetoESMVM16,

title = {WASOTA: What Are the States Of The Art?},

author = {Ciro Baron Neto and 

Diego Esteves and 

Tommaso Soru and 

Diego Moussallem and 

Andre Valdestilhas and 

Edgard Marx},

url = {http://ceur-ws.org/Vol-1695/paper28.pdf},

year  = {2016},

date = {2016-01-01},

booktitle = {Joint Proceedings of the Posters and Demos Track of the 12th International 

Conference on Semantic Systems - SEMANTiCS2016 and the 1st International 

Workshop on Semantic Change & Evolving Semantics (SuCCESS'16) co-located 

with the 12th International Conference on Semantic Systems (SEMANTiCS 

2016), Leipzig, Germany, September 12-15, 2016},

volume = {1695},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/LawrynowiczEPSD16,

title = {An Algorithm, Implementation and Execution Ontology Design Pattern},

author = {Agnieszka Lawrynowicz and 

Diego Esteves and 

Pance Panov and 

Tommaso Soru and 

Saso Dzeroski and 

Joaquin Vanschoren},

url = {https://doi.org/10.3233/978-1-61499-826-6-55},

doi = {10.3233/978-1-61499-826-6-55},

year  = {2016},

date = {2016-01-01},

booktitle = {Advances in Ontology Design and Patterns [revised and extended versions 

of the papers presented at the 7th edition of the Workshop on Ontology and Semantic Web Patterns, WOP@ISWC 2016, Kobe, Japan, 18th October 

2016]},

volume = {32},

pages = {55--68},

publisher = {IOS Press},

series = {Studies on the Semantic Web},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/EstevesMNSUAL15,

title = {MEX vocabulary: a lightweight interchange format for machine learning 

experiments},

author = {Diego Esteves and 

Diego Moussallem and 

Ciro Baron Neto and 

Tommaso Soru and 

Ricardo Usbeck and 

Markus Ackermann and 

Jens Lehmann},

url = {https://doi.org/10.1145/2814864.2814883},

doi = {10.1145/2814864.2814883},

year  = {2015},

date = {2015-01-01},

booktitle = {Proceedings of the 11th International Conference on Semantic Systems, 

SEMANTiCS 2015, Vienna, Austria, September 15-17, 2015},

pages = {169--176},

publisher = {ACM},

abstract = {Over the last decades many machine learning experiments have been published, giving benefit to the scientific progress. In order to compare machine-learning experiment results with each other and collaborate positively, they need to be performed thoroughly on the same computing environment, using the same sample datasets and algorithm configurations. Besides this, practical experience shows that scientists and engineers tend to have large output data in their experiments, which is both difficult to analyze and archive properly without provenance metadata. However, the Linked Data community still misses a light-weight specification for interchanging machine-learning metadata over different architectures to achieve a higher level of interoperability. In this paper, we address this gap by presenting a novel vocabulary dubbed MEX. We show that MEX provides a prompt method to describe experiments with a special focus on data provenance and fulfills the requirements for a long-term maintenance.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/EstevesMNLCD15,

title = {Interoperable Machine Learning Metadata using MEX},

author = {Diego Esteves and 

Diego Moussallem and 

Ciro Baron Neto and 

Jens Lehmann and 

Maria Cláudia Cavalcanti and 

Julio Cesar Duarte},

url = {http://ceur-ws.org/Vol-1486/paper_102.pdf},

year  = {2015},

date = {2015-01-01},

booktitle = {Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located 

with the 14th International Semantic Web Conference (ISWC-2015), Bethlehem, 

PA, USA, October 11, 2015},

volume = {1486},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/MarxSENL15,

title = {An Open Question Answering Framework},

author = {Edgard Marx and 

Tommaso Soru and 

Diego Esteves and 

Axel-Cyrille Ngonga Ngomo and 

Jens Lehmann},

url = {http://ceur-ws.org/Vol-1486/paper_1.pdf},

year  = {2015},

date = {2015-01-01},

booktitle = {Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located 

with the 14th International Semantic Web Conference (ISWC-2015), Bethlehem, 

PA, USA, October 11, 2015},

volume = {1486},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{defactorest,

title = {DeFacto - A Multilingual Fact Validation Interface},

author = {René Speck and Diego Esteves and Jens Lehmann and Axel-Cyrille Ngonga Ngomo},

url = {http://jens-lehmann.org/files/2015/swc_defacto.pdf},

year  = {2015},

date = {2015-01-01},

booktitle = {14th International Semantic Web Conference (ISWC 2015), 11-15 October 2015, Bethlehem, Pennsylvania, USA (Semantic Web Challenge Proceedings)},

abstract = {The curation of a knowledge base is a key task for ensuring the correctness and traceability of the knowledge provided in the said knowledge. This task is often carried out manually by human curators, who attempt to provide reliable facts and their respective sources in a three-step process: issuing appropriate keywordsqueries for the fact to check using standard search engines, retrieving potentially relevant documents and screening those documents for relevant content. However, this process is very time-consuming, mainly due to the human curators having to scrutinize the web pages retrieved by search engines. This demo paper demonstrate the RESTful implementation for DeFacto (Deep Fact Validation) ???????? an approach able to validate facts in RDF by finding trustworthy sources for them on the Web. DeFacto aims to support the validation of facts by supplying the user with (1) relevant excerpts of web pages as well as (2) useful additional information including (3) a score for the confidence DeFacto has in the correctness of the input fact. To achieve this goal, DeFacto collects and combines evidence from web pages written in several languages. We also provide an extension for finding similar resources obtained from the Linked Data, using the sameas.org service as backend. In addition, DeFacto provides support for facts with a temporal scope, i.e., it can estimate the time frame within which a fact was valid.},

note = {Semantic Web Challenge, International Semantic Web Conference 2015},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}