A survey on aspect-based sentiment classification
G Brauwers, F Frasincar - ACM Computing Surveys, 2022 - dl.acm.org
With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …
A general survey on attention mechanisms in deep learning
G Brauwers, F Frasincar - IEEE Transactions on Knowledge …, 2021 - ieeexplore.ieee.org
Attention is an important mechanism that can be employed for a variety of deep learning
models across many different domains and tasks. This survey provides an overview of the …
models across many different domains and tasks. This survey provides an overview of the …
A novel end-to-end speech emotion recognition network with stacked transformer layers
X Wang, M Wang, W Qi, W Su… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
Speech emotion recognition (SER) aims to automatically recognize emotional category for a
given speech utterance. The performance of a SER system heavily relies on the …
given speech utterance. The performance of a SER system heavily relies on the …
Large-scale question tagging via joint question-topic embedding learning
Recent years have witnessed a flourishing of community-driven question answering (cQA),
like Yahoo! Answers and AnswerBag, where people can seek precise information. After …
like Yahoo! Answers and AnswerBag, where people can seek precise information. After …
Towards effective and interpretable person-job fitting
The diversity of job requirements and the complexity of job seekers' abilities put forward
higher requirements for the accuracy and interpretability of Person-Job Fit system …
higher requirements for the accuracy and interpretability of Person-Job Fit system …
Siameseqat: A semantic context-based duplicate bug report detection using replicated cluster information
TM Rocha, ALDC Carvalho - IEEE Access, 2021 - ieeexplore.ieee.org
In large-scale software development environments, defect reports are maintained through
bug tracking systems (BTS) and analyzed by domain experts. Different users may create bug …
bug tracking systems (BTS) and analyzed by domain experts. Different users may create bug …
A hybrid siamese neural network for natural language inference in cyber-physical systems
Cyber-Physical Systems (CPS), as a multi-dimensional complex system that connects the
physical world and the cyber world, has a strong demand for processing large amounts of …
physical world and the cyber world, has a strong demand for processing large amounts of …
Adverse drug reaction detection via a multihop self-attention mechanism
Background The adverse reactions that are caused by drugs are potentially life-threatening
problems. Comprehensive knowledge of adverse drug reactions (ADRs) can reduce their …
problems. Comprehensive knowledge of adverse drug reactions (ADRs) can reduce their …
Different molecular enumeration influences in deep learning: an example using aqueous solubility
JH Chen, YJ Tseng - Briefings in Bioinformatics, 2021 - academic.oup.com
Aqueous solubility is the key property driving many chemical and biological phenomena and
impacts experimental and computational attempts to assess those phenomena. Accurate …
impacts experimental and computational attempts to assess those phenomena. Accurate …
Chinese medical relation extraction based on multi-hop self-attention mechanism
The medical literature is the most important way to demonstrate academic achievements
and academic exchanges. Massive medical literature has become a huge treasure trove of …
and academic exchanges. Massive medical literature has become a huge treasure trove of …