Назар аудару желісі

method ID: attentionnetwork

Related Papers

Joint Multi-Label Attention Networks for Social Text Annotation

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractWe propose a novel attention network for document annotation with user-generated tags. The network is designed according to the human reading and annotation behaviour. Usually, users try to digest the …...

22149

Neural News Recommendation with Long- and Short-term User Representations

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractPersonalized news recommendation is important to help users find their interested news and improve reading experience. A key problem in news recommendation is learning accurate user representations to capture their …...

39931

Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractUser and item representation learning is critical for recommendation. Many of existing recommendation methods learn representations of users and items based on their ratings and reviews. However, the user-user and …...

9021

FASTMATCH: Accelerating the Inference of BERT-based Text Matching

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractRecently, pre-trained language models such as BERT have shown state-of-the-art accuracies in text matching. When being applied to IR (or QA), the BERT-based matching models need to online calculate the …...

3798

Attention Networks for Augmenting Clinical Text with Support Sets for Diagnosis Prediction

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractDiagnosis prediction on admission notes is a core clinical task. However, these notes may incompletely describe the patient. Also, clinical language models may suffer from idiosyncratic language or imbalanced vocabulary …...

4800