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TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
TORQUE is introduced, a new English reading comprehension benchmark built on 3.2k news snippets with 21k human-generated questions querying temporal relationships, and results show that RoBERTa-large achieves an exact-match score of 51% on the test set of TORQUE, about 30% behind human performance.
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning
ESTER, a comprehensive machine reading comprehension (MRC) dataset for Event Semantic Relation Reasoning is introduced, which study five most commonly used event semantic relations and formulate them as questionanswering tasks.
Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding
This work establishes strong baselines for event temporal relation extraction on two under-explored story narrative datasets: Richer Event Description (RED) and Causal and Temporal Relation Scheme (CaTeRS) and demonstrates that neural network-based models can outperform some strong traditional linguistic feature- based models.
Becoming a Dentist: Tracing Professional Identity Development Through Mixed Methods Data Mining of Student Reflections
Over time, students’ vision of Becoming a Professional showed increased emphasis on ethical practices, shifting focus from self-asdentist to Providing the Best Patient Care.