Background Temporal relations between clinical events play an important role in clinical
assessment and decision making. Extracting such relations from free text data is a …

Narratives are present in many forms of human expression and can be understood as a
fundamental way of communication between people. Computational understanding of the …

Abstract The investigation of Ecological Agriculture (EA) patterns can reveal the differences,
aggregation, and diversity of agricultural development, providing specific paths in …

Temporal reasoning is a crucial natural language processing (NLP) task, providing a
nuanced understanding of time-sensitive contexts within textual data. Although recent …

We present TIMERS-a TIME, Rhetorical and Syntactic-aware model for document-level
temporal relation classification in the English language. Our proposed method leverages …

Temporal information extraction from social media messages is of critical importance to
several geographical applications. Combined with the characteristics of temporal …

We introduce DocTime-a novel temporal dependency graph (TDG) parser that takes as input
a text document and produces a temporal dependency graph. It outperforms previous BERT …

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 …

Objectives This study focuses on refining temporal relation extraction within medical
documents by introducing an innovative bimodal architecture. The overarching goal is to …