HARP: A novel hierarchical attention model for relation prediction
Y Wang, H Zhang - ACM Transactions on Knowledge Discovery from …, 2021 - dl.acm.org
Recent years have witnessed great advancement of representation learning (RL)-based
models for the knowledge graph relation prediction task. However, they generally rely on …
models for the knowledge graph relation prediction task. However, they generally rely on …
Relationship between intraindividual auditory and visual attention in children with ADHD
HY Lin, WD Chang, HC Hsieh, WH Yu, P Lee - Research in Developmental …, 2021 - Elsevier
Background and aim Most previous attention-deficit/hyperactivity disorder (ADHD) studies
have used only a single sensory modality (usually vision) to investigate attentional …
have used only a single sensory modality (usually vision) to investigate attentional …
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings
Ranking is a fundamental and popular problem in search. However, existing ranking
algorithms usually restrict the granularity of ranking to full passages or require a specific …
algorithms usually restrict the granularity of ranking to full passages or require a specific …
Analyzing Biases in Popular Answer Selection Datasets on Neural-Based QA Models
CN Chuy, C Ding, QV Hu - International Conference on Text, Speech, and …, 2024 - Springer
The amount of information available on the internet has increased exponentially over the
past decade. This digitization leads to the need of automated answering system to extract …
past decade. This digitization leads to the need of automated answering system to extract …