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Automatic detection of cyberbullying in social media text

PloS one, 2018-10, Vol.13 (10), p.e0203794-e0203794

2018

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Fine-Grained Implicit Sentiment in Financial News: Uncovering Hidden Bulls and Bears

Electronics (Basel), 2021-10, Vol.10 (20), p.2554

2021

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Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity

Language resources and evaluation, 2021-09, Vol.55 (3), p.597-633

2021

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Estimating word-level quality of statistical machine translation output using monolingual information alone

Natural language engineering, 2020-01, Vol.26 (1), p.73-94

2020

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Online suicide prevention through optimised text classification

Information sciences, 2018-05, Vol.439-440, p.61-78

2018

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Tagging terms in text: A supervised sequential labelling approach to automatic term extraction

Terminology, 2022-03, Vol.28 (1), p.157-189

2022

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Emotion detection in suicide notes

Expert systems with applications, 2013-11, Vol.40 (16), p.6351-6358

2013

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Fine-grained analysis of explicit and implicit sentiment in financial news articles

Expert systems with applications, 2015-07, Vol.42 (11), p.4999-5010

2015

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SENTiVENT: enabling supervised information extraction of company-specific events in economic and financial news

Language resources and evaluation, 2022-03, Vol.56 (1), p.225-257

2022

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Mixing and Matching Emotion Frameworks: Investigating Cross-Framework Transfer Learning for Dutch Emotion Detection

Electronics (Basel), 2021-11, Vol.10 (21), p.2643

2021

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TExSIS: Bilingual terminology extraction from parallel corpora using chunk-based alignment

Terminology, 2013-01, Vol.19 (1), p.1-30

2013

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We Usually Don’t Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter

Computational linguistics - Association for Computational Linguistics, 2018-12, Vol.44 (4), p.793-832

2018

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All Mixed Up ? Finding the Optimal Feature Set for General Readability Prediction and Its Application to English and Dutch

Computational linguistics - Association for Computational Linguistics, 2016-09, Vol.42 (3), p.457-490

2016

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EmoTwiCS: a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter

Language resources and evaluation, 2024-06, Vol.58 (2), p.505-546

2024

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Using natural language processing to automatically classify written self-reported narratives by patients with migraine or cluster headache

Journal of headache and pain, 2022-12, Vol.23 (1), p.129-129, Article 129

2022

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Parallel corpora make sense: Bypassing the knowledge acquisition bottleneck for Word Sense Disambiguation

International journal of corpus linguistics, 2014-01, Vol.19 (3), p.333-367

2014

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Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony

Information sciences, 2023-05, Vol.625, p.521-535

2023

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Detecting Grammatical Errors in Machine Translation Output Using Dependency Parsing and Treebank Querying

Baltic Journal of Modern Computing, 2016-01, Vol.4 (2), p.203-203

2016

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Automatic classification of participant roles in cyberbullying: Can we detect victims, bullies, and bystanders in social media text?

Natural language engineering, 2022-03, Vol.28 (2), p.141-166

2022

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In no uncertain terms: a dataset for monolingual and multilingual automatic term extraction from comparable corpora

Language resources and evaluation, 2020-06, Vol.54 (2), p.385-418

2020

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Estimating post-editing time using a gold-standard set of machine translation errors

Computer speech & language, 2019-05, Vol.55, p.120-144

2019

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Linguistic feature analysis for protein interaction extraction

BMC bioinformatics, 2009-11, Vol.10 (1), p.374-374, Article 374

2009

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The limitations of irony detection in Dutch social media

Language resources and evaluation, 2023-07

2023

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EventDNA: a dataset for Dutch news event extraction as a basis for news diversification

Language resources and evaluation, 2023-03, Vol.57 (1), p.189-221

2023

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Exploring the fine-grained analysis and automatic detection of irony on Twitter

Language Resources and Evaluation, 2018-09, Vol.52 (3), p.707-731

2018

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Automatic detection of cyberbullying in social media text

Fine-Grained Implicit Sentiment in Financial News: Uncovering Hidden Bulls and Bears

Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity

Estimating word-level quality of statistical machine translation output using monolingual information alone

Online suicide prevention through optimised text classification

Tagging terms in text: A supervised sequential labelling approach to automatic term extraction

Emotion detection in suicide notes

Fine-grained analysis of explicit and implicit sentiment in financial news articles

SENTiVENT: enabling supervised information extraction of company-specific events in economic and financial news

Mixing and Matching Emotion Frameworks: Investigating Cross-Framework Transfer Learning for Dutch Emotion Detection

TExSIS: Bilingual terminology extraction from parallel corpora using chunk-based alignment

We Usually Don’t Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter

All Mixed Up ? Finding the Optimal Feature Set for General Readability Prediction and Its Application to English and Dutch

EmoTwiCS: a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter

Using natural language processing to automatically classify written self-reported narratives by patients with migraine or cluster headache

Parallel corpora make sense: Bypassing the knowledge acquisition bottleneck for Word Sense Disambiguation

Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony

Detecting Grammatical Errors in Machine Translation Output Using Dependency Parsing and Treebank Querying

Automatic classification of participant roles in cyberbullying: Can we detect victims, bullies, and bystanders in social media text?

In no uncertain terms: a dataset for monolingual and multilingual automatic term extraction from comparable corpora

Estimating post-editing time using a gold-standard set of machine translation errors

Linguistic feature analysis for protein interaction extraction

The limitations of irony detection in Dutch social media

EventDNA: a dataset for Dutch news event extraction as a basis for news diversification

Exploring the fine-grained analysis and automatic detection of irony on Twitter

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