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 Walter Daelemans

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 walter.daelemansatuantwerpen.be

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Bibliometrics: publication history
Average citations per article9.68
Citation Count784
Publication count81
Publication years1987-2017
Available for download51
Average downloads per article228.20
Downloads (cumulative)11,638
Downloads (12 Months)869
Downloads (6 Weeks)112
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81 results found Export Results: bibtexendnoteacmrefcsv

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1
October 2017 Journal of Biomedical Informatics: Volume 74 Issue C, October 2017
Publisher: Elsevier Science
Bibliometrics:
Citation Count: 0

Display Omitted Automated clinical code prediction on EHR data.Dealing with noisy information in this EHR.Complementarity of structured and unstructured sources.Approach independent of rigid frameworks.Feature selection to compare complementarity of sparse features. A multitude of information sources is present in the electronic health record (EHR), each of which can contain clues ...
Keywords: Clinical coding, Data representation, EHR mining, Feature selection, Data integration

2
November 2016 Expert Systems with Applications: An International Journal: Volume 63 Issue C, November 2016
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 1

We shed new light on the authenticity of the writings of Julius Caesar.Hirtius, one of Caesar's generals, must have contributed to Caesar's writings.We benchmark two authorship verification systems on publicly available data sets.We test on both modern data sets, and Latin texts from Antiquity.We show how computational methods inform traditional ...
Keywords: Authentication, Authorship verification, Stylometry, Julius Caesar

3 published by ACM
July 2016 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue on Crowd in Intelligent Systems, Research Note/Short Paper and Regular Papers: Volume 7 Issue 4, July 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 10,   Downloads (12 Months): 79,   Downloads (Overall): 117

Full text available: PDFPDF
As social media constitutes a valuable source for data analysis for a wide range of applications, the need for handling such data arises. However, the nonstandard language used on social media poses problems for natural language processing (NLP) tools, as these are typically trained on standard language material. We propose ...
Keywords: Social media, text normalization, user-generated content

4
June 2016 Language Resources and Evaluation: Volume 50 Issue 2, June 2016
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

This article provides an overview of the dissemination work carried out in META-NET from 2010 until 2015; we describe its impact on the regional, national and international level, mainly with regard to politics and the funding situation for LT topics. The article documents the initiative's work throughout Europe in order ...
Keywords: Language resources, Language technology, META-NET, META-SHARE, Multilingual technologies, Machine translation

5 published by ACM
November 2014 WCPR '14: Proceedings of the 2014 ACM Multi Media on Workshop on Computational Personality Recognition
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 13,   Downloads (Overall): 72

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This paper describes our submission for the WCPR14 shared task on computational personality recognition. We have investigated whether the features proposed by Soler and Wanner (2014) for gender prediction might also be useful in personality recognition. We have compared these features with simple approaches using token unigrams, character trigrams and ...
Keywords: author profiling, computational stylometry, personality recognition from text

6
March 2014 Information Processing and Management: an International Journal: Volume 50 Issue 2, March, 2014
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 1

Despite the fact that both the Efficient Market Hypothesis and Random Walk Theory postulate that it is impossible to predict future stock prices based on currently available information, recent advances in empirical research have been proving the opposite by achieving what seems to be better than random prediction performance. We ...
Keywords: Evaluation, Sentiment mining, Prediction, Stock, Support Vector Machine

7
March 2013 CICLing'13: Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 4

Computational stylometry, as in authorship attribution or profiling, has a large potential for applications in diverse areas: literary science, forensics, language psychology, sociolinguistics, even medical diagnosis. Yet, many of the basic research questions of this field are not studied systematically or even at all. In this paper we will go ...

8
October 2012 Expert Systems with Applications: An International Journal: Volume 39 Issue 14, October, 2012
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 2

At the year end of 2011 Belgium formed a government, after a world record breaking period of 541days of negotiations. We have gathered and analysed 68,000 related on-line news articles published in 2011 in Flemish newspapers. These articles were analysed by a custom-built expert system. The results of our text ...
Keywords: Sentiment mining, Opinion mining, Politics, Coverage, Data mining

9
July 2012 SMIAE '12: Proceedings of the 1st Workshop on Speech and Multimodal Interaction in Assistive Environments
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 2,   Downloads (Overall): 25

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This paper introduces research within the ALADIN project, which aims to develop an assistive vocal interface for people with a physical impairment. In contrast to existing approaches, the vocal interface is self-learning, which means it can be used with any language, dialect, vocabulary and grammar. This paper describes the overall ...

10
July 2012 EMNLP-CoNLL '12: Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 9,   Downloads (12 Months): 20,   Downloads (Overall): 298

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Evidence-based medicine is an approach whereby clinical decisions are supported by the best available findings gained from scientific research. This requires efficient access to such evidence. To this end, abstracts in evidence-based medicine can be labeled using a set of predefined medical categories, the so-called PICO criteria. This paper presents ...

11
June 2012 The Journal of Machine Learning Research: Volume 13, 3/1/2012
Publisher: JMLR.org
Bibliometrics:
Citation Count: 14
Downloads (6 Weeks): 9,   Downloads (12 Months): 35,   Downloads (Overall): 484

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Pattern is a package for Python 2.4+ with functionality for web mining (Google + Twitter + Wikipedia, web spider, HTML DOM parser), natural language processing (tagger/chunker, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, k-means clustering, Naive Bayes + k-NN + SVM classifiers) and network analysis (graph centrality ...
Keywords: data mining, machine learning, natural language processing, python, graph networks
Also published in:
January 2012  The Journal of Machine Learning Research: Volume 13 Issue 1, January 2012

12
December 2011 ICDMW '11: Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

We present a data integration and data mining platform, called BioGraph, for knowledge discovery in the biomedical domain. BioGraph allows for the automated formulation of comprehensible functional hypotheses relating a concepts to targets. A typical setting in which BioGraph can assist, is gene prioritization. That is, given the researcher's interest ...
Keywords: graph mining, bioinformatics

13 published by ACM
October 2011 SMUC '11: Proceedings of the 3rd international workshop on Search and mining user-generated contents
Publisher: ACM
Bibliometrics:
Citation Count: 29
Downloads (6 Weeks): 11,   Downloads (12 Months): 149,   Downloads (Overall): 900

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A common characteristic of communication on online social networks is that it happens via short messages, often using non-standard language variations. These characteristics make this type of text a challenging text genre for natural language processing. Moreover, in these digital communities it is easy to provide a false name, age, ...
Keywords: cyber-pedophilia detection, stylometry, age and gender prediction, social media, text categorization

14
June 2011 WASSA '11: Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 1,   Downloads (12 Months): 29,   Downloads (Overall): 244

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We introduce a new emotion classification task based on Leary's Rose, a framework for interpersonal communication. We present a small dataset of 740 Dutch sentences, outline the annotation process and evaluate annotator agreement. We then evaluate the performance of several automatic classification systems when classifying individual sentences according to the ...

15
April 2011 EvoApplications'11: Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

NodeBox is a free application for producing generative art. This paper gives an overview of the nature-inspired functionality in NodeBox and the artworks we created using it. We demonstrate how it can be used for evolutionary computation in the context of computer games and art, and discuss some of our ...
Keywords: generative art, computer graphics, emergence, natural language processing

16
January 2011 IWCS '11: Proceedings of the Ninth International Conference on Computational Semantics
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 10,   Downloads (Overall): 90

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In this paper we summarize existing work on the recently introduced task of processing the scope of negation and modality cues; we analyse the scope model that existing systems can process, which is mainly the model reflected in the annotations of the biomedical corpus on which the systems have been ...

17
December 2010 Machine Translation: Volume 24 Issue 3-4, December 2010
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0


18
July 2010 CoNLL '10: Shared Task: Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 12
Downloads (6 Weeks): 0,   Downloads (12 Months): 9,   Downloads (Overall): 97

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In this paper we describe the machine learning systems that we submitted to the CoNLL-2010 Shared Task on Learning to Detect Hedges and Their Scope in Natural Language Text. Task 1 on detecting uncertain information was performed by an SVM-based system to process the Wikipedia data and by a memory-based ...

19
July 2010 DANLP 2010: Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 2,   Downloads (12 Months): 11,   Downloads (Overall): 73

Full text available: PDFPDF
Many natural language processing (NLP) tools exhibit a decrease in performance when they are applied to data that is linguistically different from the corpus used during development. This makes it hard to develop NLP tools for domains for which annotated corpora are not available. This paper explores a number of ...

20
March 2010 CICLing'10: Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

We present a linguistically-motivated sub-sentential alignment system that extends the intersected IBM Model 4 word alignments. The alignment system is chunk-driven and requires only shallow linguistic processing tools for the source and the target languages, i.e. part-of-speech taggers and chunkers. We conceive the sub-sentential aligner as a cascaded model consisting ...
Keywords: chunk alignment, parallel corpora, word alignment, computer-aided translation



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