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Found 42 papers, 4 papers with code
Sarcastic Soulmates: Intimacy and irony markers in social media messaging
With regard to automatic detection, we conclude that our classifier is able to detect ironic tweets addressed at another user as reliably as tweets that are not addressed at at a particular person.
Detecting Minority Arguments for Mutual Understanding: A Moderation Tool for the Online Climate Change Debate
Additionally, supplementing our training data was necessary for our classifiers to be able to adequately recognize rare arguments.
Correlating Political Party Names in Tweets, Newspapers and Election Results
However, we find a larger correlation and a smaller absolute error between party mentions in newspapers and the outcome of the elections in four of the five elections.
Less is Better: A cognitively inspired unsupervised model for language segmentation
Language users process utterances by segmenting them into many cognitive units, which vary in their sizes and linguistic levels.
Hybrid moderation in the newsroom: Recommending featured posts to content moderators
As an expert evaluation, content moderators assessed the output of a random selection of articles by choosing comments to feature based on the recommendations, which resulted in a NDCG score of 0. 83.
Optimising Twitter-based Political Election Prediction with Relevance andSentiment Filters
Larger improvements for one election are possible, but result in deterioration of the MAE for the other elections.
Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and Models
Community Question Answering forums are popular among Internet users, and a basic problem they encounter is trying to find out if their question has already been posed before.
Monitoring stance towards vaccination in Twitter messages
We developed a system to automatically classify stance towards vaccination in Twitter messages, with a focus on messages with a negative stance.
Detecting harassment in real-time as conversations develop
We developed a machine-learning-based method to detect video game players that harass teammates or opponents in chat earlier in the conversation.
Dependency Parsing with your Eyes: Dependency Structure Predicts Eye Regressions During Reading
Backward saccades during reading have been hypothesized to be involved in structural reanalysis, or to be related to the level of text difficulty.
Simulating Spanish-English Code-Switching: El Modelo Est\'a Generating Code-Switches
To our knowledge, this is the first computational cognitive model that aims to simulate code-switched sentence production.
Aspect-based summarization of pros and cons in unstructured product reviews
In the second evaluation, the gold-standard pros and cons were assessed along with the system output.
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.
Exploring Lexical and Syntactic Features for Language Variety Identification
We present a method to discriminate between texts written in either the Netherlandic or the Flemish variant of the Dutch language.
Unraveling reported dreams with text analytics
We investigate what distinguishes reported dreams from other personal narratives.
Nederlab: Towards a Single Portal and Research Environment for Diachronic Dutch Text Corpora
The Nederlab project aims to bring together all digitized texts relevant to the Dutch national heritage, the history of the Dutch language and culture (circa 800 {--} present) in one user friendly and tool enriched open access web interface.
Enhancing Access to Online Education: Quality Machine Translation of MOOC Content
The present work is an overview of the TraMOOC (Translation for Massive Open Online Courses) research and innovation project, a machine translation approach for online educational content.
Can Tweets Predict TV Ratings?
In absence of information on previous shows, Twitter-based counts may be a viable alternative to classic estimation methods for TV ratings.
DutchSemCor: Targeting the ideal sense-tagged corpus
Word Sense Disambiguation (WSD) systems require large sense-tagged corpora along with lexical databases to reach satisfactory results.
Forgetting Exceptions is Harmful in Language Learning
We provide explanations for both results in terms of the properties of the natural language processing tasks and the learning algorithms.
