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Found 38 papers, 1 papers with code
ADVISER: A Dialog System Framework for Education \& Research
In this paper, we present ADVISER - an open source dialog system framework for education and research purposes.
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text
There exist few text-specific methods for unsupervised anomaly detection, and for those that do exist, none utilize pre-trained models for distributed vector representations of words.
Predicting Adolescents' Educational Track from Chat Messages on Dutch Social Media
We aim to predict Flemish adolescents{'} educational track based on their Dutch social media writing.
What Action Causes This? Towards Naive Physical Action-Effect Prediction
Despite recent advances in knowledge representation, automated reasoning, and machine learning, artificial agents still lack the ability to understand basic action-effect relations regarding the physical world, for example, the action of cutting a cucumber most likely leads to the state where the cucumber is broken apart into smaller pieces.
Filling the Blanks (hint: plural noun) for Mad Libs Humor
Computerized generation of humor is a notoriously difficult AI problem.
Poly-GrETEL: Cross-Lingual Example-based Querying of Syntactic Constructions
We present Poly-GrETEL, an online tool which enables syntactic querying in parallel treebanks, based on the monolingual GrETEL environment.
AfriBooms: An Online Treebank for Afrikaans
Compared to well-resourced languages such as English and Dutch, natural language processing (NLP) tools for Afrikaans are still not abundant.
Linking Pictographs to Synsets: Sclera2Cornetto
Social inclusion of people with Intellectual and Developmental Disabilities can be promoted by offering them ways to independently use the internet.
Annotating Clinical Events in Text Snippets for Phenotype Detection
Early detection and treatment of diseases that onset after a patient is admitted to a hospital, such as pneumonia, is critical to improving and reducing costs in healthcare.
A Method for Building Burst-Annotated Co-Occurrence Networks for Analysing Trends in Textual Data
This paper presents a method for constructing a specific type of language resources that are conveniently applicable to analysis of trending topics in time-annotated textual data.
On the origin of errors: A fine-grained analysis of MT and PE errors and their relationship
In order to improve the symbiosis between machine translation (MT) system and post-editor, it is not enough to know that the output of one system is better than the output of another system.
Powergrading: a Clustering Approach to Amplify Human Effort for Short Answer Grading
We introduce a new approach to the machine-assisted grading of short answer questions.
Example-Based Treebank Querying
The recent construction of large linguistic treebanks for spoken and written Dutch (e. g. CGN, LASSY, Alpino) has created new and exciting opportunities for the empirical investigation of Dutch syntax and semantics.
Large aligned treebanks for syntax-based machine translation
We present a collection of parallel treebanks that have been automatically aligned on both the terminal and the nonterminal constituent level for use in syntax-based machine translation.
Statistical Section Segmentation in Free-Text Clinical Records
Automatically segmenting and classifying clinical free text into sections is an important first step to automatic information retrieval, information extraction and data mining tasks, as it helps to ground the significance of the text within.
The SERENOA Project: Multidimensional Context-Aware Adaptation of Service Front-Ends
The SERENOA project is aimed at developing a novel, open platform for enabling the creation of context-sensitive Service Front-Ends (SFEs).
