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Found 13 papers, 8 papers with code
UDon2: a library for manipulating Universal Dependencies trees
The library is compatible with the Universal Dependencies.
Textinator: an Internationalized Tool for Annotation and Human Evaluation in Natural Language Processing and Generation
We release an internationalized annotation and human evaluation bundle, called Textinator, along with documentation and video tutorials.
BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset
An important part when constructing multiple-choice questions (MCQs) for reading comprehension assessment are the distractors, the incorrect but preferably plausible answer options.
Quinductor: a multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies
We propose a multilingual data-driven method for generating reading comprehension questions using dependency trees.
Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish
This paper presents an evaluation of the quality of automatically generated reading comprehension questions from Swedish text, using the Quinductor method.
SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish
We present SweCTRL-Mini, a large Swedish language model that can be used for inference and fine-tuning on a single consumer-grade GPU.
EMBRACE: Evaluation and Modifications for Boosting RACE
When training and evaluating machine reading comprehension models, it is very important to work with high-quality datasets that are also representative of real-world reading comprehension tasks.
SpaceRef: A corpus of street-level geographic descriptions
This article describes SPACEREF, a corpus of street-level geographic descriptions.
SpaceRefNet: a neural approach to spatial reference resolution in a real city environment
Adding interactive capabilities to pedestrian wayfinding systems in the form of spoken dialogue will make them more natural to humans.
Minor changes make a difference: a case study on the consistency of UD-based dependency parsers
Many downstream applications are using dependency trees, and are thus relying on dependency parsers producing correct, or at least consistent, output.
