Multilingual normalization of temporal expressions with masked language models
The detection and normalization of temporal expressions is an important task and
preprocessing step for many applications. However, prior work on normalization is rule …
preprocessing step for many applications. However, prior work on normalization is rule …
A Synergistic Bidirectional LSTM and N-gram Multi-channel CNN Approach Based on BERT and FastText for Arabic Event Identification
Event extraction from texts continues to pose a challenge for many NLP systems. This article
presents a novel neural network architecture that can extract and classify events from Arabic …
presents a novel neural network architecture that can extract and classify events from Arabic …
Robust input representations for low-resource information extraction
L Lange - 2022 - publikationen.sulb.uni-saarland.de
Recent advances in the field of natural language processing were achieved with deep
learning models. This led to a wide range of new research questions concerning the stability …
learning models. This led to a wide range of new research questions concerning the stability …
[图书][B] Applying Temporal Information Extraction for Knowledge Management
AA Aljubailan - 2022 - search.proquest.com
The information revolution enabled by the recent breakthroughs in Information and
Communication Technology (ICT) has led to to a radical transformation in the modern …
Communication Technology (ICT) has led to to a radical transformation in the modern …
I still have Time (s): Extending HeidelTime for German Texts
HeidelTime is one of the most widespread and successful tools for detecting temporal
expressions in texts. Since HeidelTime's pattern matching system is based on regular …
expressions in texts. Since HeidelTime's pattern matching system is based on regular …