| Deep Learning for Sentiment Analysis | | 2022 |
| Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks | Empirical Software Engineering | 2022 |
| Kernel density estimation based factored relevance model for multi-contextual point-of-interest recommendation | Information Retrieval | 2022 |
| An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool | Lecture Notes in Business Information Processing | 2020 |
| Influence of Random Walk Parametrization on Graph Embeddings | Lecture Notes in Computer Science | 2020 |
| Towards a UMLS-Integratable Vietnamese Medical Terminology | Communications in Computer and Information Science | 2020 |
| Toward an End-to-End Sociology of 21st-Century Machine Learning | | 2021 |
| Data Mining Techniques to Categorize Single Paragraph-Formed Self-narrated Stories | Lecture Notes in Networks and Systems | 2021 |
| Ontology, neural networks, and the social sciences | SynthÈse | 2021 |
| Filtering Method for Twitter Streaming Data Using Human-in-the-Loop Machine Learning | Journal of Information Processing | 2019 |
| On Extracting Relations Using Distributional Semantics and a Tree Generalization | Lecture Notes in Computer Science | 2018 |
| Reviewing rounds prediction for code patches | Empirical Software Engineering | 2022 |
| Enhanced word embeddings using multi-semantic representation through lexical chains | Information Sciences | 2020 |
| Establishing a Strong Baseline for Privacy Policy Classification | IFIP Advances in Information and Communication Technology | 2020 |
| Semantically Corroborating Neural Attention for Biomedical Question Answering | Communications in Computer and Information Science | 2020 |
| An emotion analysis scheme based on Gray Wolf optimization and deep learning | Concurrency Computation Practice and Experience | 2021 |
| On improving knowledge graph facilitated simple question answering system | Neural Computing and Applications | 2021 |
| Interpretable semantic textual similarity of sentences using alignment of chunks with classification and regression | Applied Intelligence | 2021 |
| Empirical methodology for crowdsourcing ground truth | Semantic Web | 2021 |
| Graph-Based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles | Studies in Computational Intelligence | 2021 |
| Deep Learning for Sentiment Analysis | Advances in Business Information Systems and Analytics Book Series | 2021 |
| Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies | | 2021 |
| Graph-based reasoning model for multiple relation extraction | Neurocomputing | 2021 |
| Identifying collaboration dynamics of bipartite author-topic networks with the influences of interest changes | Scientometrics | 2020 |
| Semantic trajectory representation and retrieval via hierarchical embedding | Information Sciences | 2020 |
| Deep learning based searching approach for RDF graphs | PLoS ONE | 2020 |
| Task-Optimized Word Embeddings for Text Classification Representations | Frontiers in Applied Mathematics and Statistics | 2020 |
| Intrinsic Evaluation for English–Tamil Bilingual Word Embeddings | Advances in Intelligent Systems and Computing | 2020 |
| Correlation based feature fusion for the temporal video scene segmentation task | Multimedia Tools and Applications | 2019 |
| CADENCE | | 2019 |
| Waste Not: Meta-Embedding of Word and Context Vectors | Lecture Notes in Computer Science | 2019 |
| Document representation and classification with Twitter-based document embedding, adversarial domain-adaptation, and query expansion | Journal of Heuristics | 2019 |
| Deep Learning in Music Recommendation Systems | Frontiers in Applied Mathematics and Statistics | 2019 |
| An input information enhanced model for relation extraction | Neural Computing and Applications | 2019 |
| Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries | | 2019 |
| Deep learning for noise-tolerant RDFS reasoning1 | Semantic Web | 2019 |
| Measuring semantic similarity of clinical trial outcomes using deep pre-trained language representations | Journal of Biomedical Informatics: X | 2019 |
| A survey on construction and enhancement methods in service chatbots design | CCF Transactions on Pervasive Computing and Interaction | 2019 |
| From free text to clusters of content in health records: an unsupervised graph partitioning approach | Applied Network Science | 2019 |
| Indirect association and ranking hypotheses for literature based discovery | BMC Bioinformatics | 2019 |
| Arabic Question Classification Using Support Vector Machines and Convolutional Neural Networks | Lecture Notes in Computer Science | 2018 |
| An Embedding-Based Approach for Oral Disease Diagnosis Prediction from Electronic Medical Records | | 2018 |
| Automated identification of sensitive data from implicit user specification | Cybersecurity | 2018 |
