The advent of recent Natural Language Processing technology has led human and machine
interactions more toward conversation. In Conversational Search Systems (CSS) like …

We present ScienceWorld, a benchmark to test agents' scientific reasoning abilities in a new
interactive text environment at the level of a standard elementary school science curriculum …

Explainable question answering for complex questions often requires combining large
numbers of facts to answer a question while providing a human-readable explanation for the …

Question classification is one of the essential tasks for automatic question answering
implementation in natural language processing (NLP). Recently, there have been several …

We propose EXAMS--a new benchmark dataset for cross-lingual and multilingual question
answering for high school examinations. We collected more than 24,000 high-quality high …

Classification of questions according to domain-agnostic class labels relies on a suitable
feature extraction process. We propose the use of phrases that is more effective than using …

Enhancing learning effectiveness requires one to define suitable learning outcomes and
align assessment constructs with these outcomes. We present a quad-faceted feature-based …

Recent progress in deep-learning-enabled AI researchers and developers to invest minimal
efforts to achieve state-of-the-art results. Specifically, in such a task as text classification–text …

The TextGraphs-13 Shared Task on Explanation Regeneration asked participants to
develop methods to reconstruct gold explanations for elementary science questions. Red …

An emerging line of research in Explainable NLP is the creation of datasets enriched with
human-annotated explanations and rationales, used to build and evaluate models with step …