Time expression (aka, timex) recognition and normalization (TERN) is a crucial task for
downstream research. However, previous studies have overlooked the critical …

Time information plays an important role in the areas of data mining, information retrieval,
and natural language processing. Among the linguistic tasks related to time expressions …

Temporal expression identification is crucial for understanding texts written in natural
language. Although highly effective systems such as HeidelTime exist, their limited runtime …

In this research, we extract time-related expressions from a rabbinic text in a semi-automatic
manner. These expressions usually appear next to rabbinic references (name/nickname …

Existing approaches to normalize time expressions highly rely on expert-engineered rules or
grammars, which are labor-intensive and difficult to scale to different scenarios. In this …

Generative ability is a crucial need for artificial intelligence applications, such as chatbots,
virtual assistants, machine translation systems etc. In recent years, the transformer-based …

Temporal and numerical expression understanding is of great importance in many
downstream Natural Language Processing (NLP) and Information Retrieval (IR) tasks …

Numerical information plays an important role in various fields such as scientific, financial,
social, statistics, and news. Most prior studies adopt unsupervised methods by designing …

Temporal expression extraction (TEE) plays a crucial role in natural language processing
(NLP) tasks, enabling the capture of temporal information for downstream tasks such as …

Time expression (aka, timex) normalization is a fundamental task for many downstream
researches and applications. Previous researches mainly developed deterministic rules and …