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Found 13 papers, 1 papers with code
Event Causality Identification with Causal News Corpus -- Shared Task 3, CASE 2022
The best F1 scores achieved for Subtask 1 and 2 were 86. 19% and 54. 15%, respectively.
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News
Leveraging each of these external datasets for training, we achieved up to approximately 64% F1 on the CNC test set without additional fine-tuning.
COVCOR20 at WNUT-2020 Task 2: An Attempt to Combine Deep Learning and Expert rules
In the scope of WNUT-2020 Task 2, we developed various text classification systems, using deep learning models and one using linguistically informed rules.
The Connection between the Text and Images of News Articles: New Insights for Multimedia Analysis
We carry out a manual analysis of 1000 articles containing a keyword related to flooding.
Team Taurus at SemEval-2019 Task 9: Expert-informed pattern recognition for suggestion mining
This paper presents our submissions to SemEval-2019 Task9, Suggestion Mining.
Identification of Differences between Dutch Language Varieties with the VarDial2018 Dutch-Flemish Subtitle Data
With the goal of discovering differences between Belgian and Netherlandic Dutch, we participated as Team Taurus in the Dutch-Flemish Subtitles task of VarDial2018.
Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign
We present the results and the findings of the Second VarDial Evaluation Campaign on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects.
Falling silent, lost for words ... Tracing personal involvement in interviews with Dutch war veterans
In sources used in oral history research (such as interviews with eye witnesses), passages where the degree of personal emotional involvement is found to be high can be of particular interest, as these may give insight into how historical events were experienced, and what moral dilemmas and psychological or religious struggles were encountered.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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The evolving infrastructure for language resources and the role for data scientists
In the context of ongoing developments as regards the creation of a sustainable, interoperable language resource infrastructure and spreading ideas of the need for open access, not only of research publications but also of the underlying data, various issues present themselves which require that different stakeholders reconsider their positions.
Collection of a corpus of Dutch SMS
In this paper we focus on the data collection processes involved and after studying the effect of media coverage we show that especially free publicity in newspapers and on social media networks results in more contributions.
Beyond SoNaR: towards the facilitation of large corpus building efforts
In this paper we report on the experiences gained in the recent construction of the SoNaR corpus, a 500 MW reference corpus of contemporary, written Dutch.
