Real networks exhibit heterogeneous nature with nodes playing far different roles in structure and function. To identify vital nodes is thus very significant, allowing us to control …
Abstract Language models (LMs) exhibit remarkable abilities to solve new tasks from just a few examples or textual instructions, especially at scale. They also, paradoxically, struggle …
X Liu, T Shi, G Zhou, M Liu, Z Yin, L Yin… - Humanities and Social …, 2023 - nature.com
The process of computationally identifying and categorizing opinions expressed in a piece of text is of great importance to support better understanding and services to online users in …
Text classification is the most fundamental and essential task in natural language processing. The last decade has seen a surge of research in this area due to the …
Text retrieval is a long-standing research topic on information seeking, where a system is required to return relevant information resources to user's queries in natural language. From …
Neural retrievers based on dense representations combined with Approximate Nearest Neighbors search have recently received a lot of attention, owing their success to distillation …
Background An association between the severity of coronavirus disease 2019 (COVID-19) and the presence of certain chronic conditions has been suggested. However, unlike …