The utilization of large language models (LLMs) in the Healthcare domain has generated
both excitement and concern due to their ability to effectively respond to freetext queries with …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

Chinese diachronic gap is a key issue in classical Chinese machine reading
comprehension (CCMRC). Preceding work on bridging this gap has been mostly restricted …

Argument mining (AM) aims to automatically generate a graph that represents the argument
structure of a document. Most previous AM models only pay attention to a single argument …

Pre-trained language models (PLMs) have achieved outstanding performance on Machine
Reading Comprehension (MRC) tasks, but these models' interpretability remains uncertain …

To date, most of the existing open-domain question answering (QA) methods focus on
explicit questions where the reasoning steps are mentioned explicitly in the question. In this …

Several challenging issues have yet to be jointly addressed in the recommendation of
experts for community question answering, including dynamicity, comprehensive profiling …

Spoken language understanding (SLU) plays a crucial role in the performance of dialogue
systems. It usually includes slot filling and intent detection (SFID) tasks aiming at semantic …

Abstract Electronic Health Records (EHRs) significantly enhance clinical decision-making,
particularly in safe and effective medication recommendation based on complex patient …

External knowledge has been introduced into pretrained models to enhance answer
reasoning in machine reading comprehension tasks. However, most methods directly take …