[HTML][HTML] Geological profile-text information association model of mineral exploration reports for fast analysis of geological content
Q Qiu, B Wang, K Ma, Z Xie - Ore Geology Reviews, 2023 - Elsevier
Mineral exploration reports include not only a large number of geological profiles but also
geological text by offering valuable information and knowledge about the geological …
geological text by offering valuable information and knowledge about the geological …
Understanding geological reports based on knowledge graphs using a deep learning approach
Geological reports aid in understanding exploration by providing valuable information on
rock formation, evolution and the geological environment in which deposits formed …
rock formation, evolution and the geological environment in which deposits formed …
Ziya2: data-centric learning is all LLMs need
Various large language models (LLMs) have been proposed in recent years, including
closed-and open-source ones, continually setting new records on multiple benchmarks …
closed-and open-source ones, continually setting new records on multiple benchmarks …
LFTK: Handcrafted features in computational linguistics
BW Lee, JHJ Lee - arXiv preprint arXiv:2305.15878, 2023 - arxiv.org
Past research has identified a rich set of handcrafted linguistic features that can potentially
assist various tasks. However, their extensive number makes it difficult to effectively select …
assist various tasks. However, their extensive number makes it difficult to effectively select …
Improving relation extraction through syntax-induced pre-training with dependency masking
Relation extraction (RE) is an important natural language processing task that predicts the
relation between two given entities, where a good understanding of the contextual …
relation between two given entities, where a good understanding of the contextual …
Incident-aware duplicate ticket aggregation for cloud systems
In cloud systems, incidents are potential threats to customer satisfaction and business
revenue. When customers are affected by incidents, they often request customer support …
revenue. When customers are affected by incidents, they often request customer support …
Improving federated learning for aspect-based sentiment analysis via topic memories
Aspect-based sentiment analysis (ABSA) predicts the sentiment polarity towards a particular
aspect term in a sentence, which is an important task in real-world applications. To perform …
aspect term in a sentence, which is an important task in real-world applications. To perform …
[HTML][HTML] Semantic information extraction and search of mineral exploration data using text mining and deep learning methods
Large-scale mineral resource reports offer a wealth of information for geological knowledge
mining and mineral explorers' knowledge discovery. The geological conditions in which …
mining and mineral explorers' knowledge discovery. The geological conditions in which …
Learning Multimodal Contrast with Cross-modal Memory and Reinforced Contrast Recognition
In many practical scenarios, contents from different modalities are not semantically aligned;
for instance, visual and textual information may conflict with each other, resulting in non …
for instance, visual and textual information may conflict with each other, resulting in non …
Generating labeled data for relation extraction: A meta learning approach with joint GPT-2 training
Relation Extraction (RE) is the task of identifying semantic relation between real-world
entities mentioned in text. Despite significant progress in RE research, a remaining …
entities mentioned in text. Despite significant progress in RE research, a remaining …