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Enhancing Unsupervised Requirements Traceability with Sequential Semantics

2019 26th Asia-Pacific Software Engineering Conference (APSEC), 2019, p.23-30

2019

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Distant reading 940,000 online circulations of 26 iconic photographs

New media & society, 2023-12, Vol.25 (12), p.3543-3572

2023

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Cross-Domain Sentiment Encoding through Stochastic Word Embedding

IEEE transactions on knowledge and data engineering, 2020-10, Vol.32 (10), p.1909-1922

2020

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A Hierarchical Structured Self-Attentive Model for Extractive Document Summarization (HSSAS)

IEEE access, 2018-01, Vol.6, p.24205-24212

2018

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Neural network embeddings on corporate annual filings for portfolio selection

Expert systems with applications, 2021-02, Vol.164, p.114053, Article 114053

2021

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Visual Exploration of Neural Document Embedding in Information Retrieval: Semantics and Feature Selection

IEEE transactions on visualization and computer graphics, 2019-06, Vol.25 (6), p.2181-2192

2019

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Doc2vec-based link prediction approach using SAO structures: application to patent network

Scientometrics, 2022-09, Vol.127 (9), p.5385-5414

2022

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Knowledge-enhanced document embeddings for text classification

Knowledge-based systems, 2019-01, Vol.163, p.955-971

2019

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Beyond word embeddings: A survey

Information fusion, 2023-01, Vol.89, p.418-436

2023

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Unsupervised News Topic Modelling with Doc2Vec and Spherical Clustering

Procedia computer science, 2021, Vol.179, p.40-46

2021

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ELICE: Embedding Language through Informative Contrastive-Encoder

Expert systems with applications, 2023-11, Vol.229, p.120523, Article 120523

2023

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Problem formulation in inventive design using Doc2vec and Cosine Similarity as Artificial Intelligence methods and Scientific Papers

Engineering applications of artificial intelligence, 2022-03, Vol.109 (104661), p.104661, Article 104661

2022

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A Brand-New Look at You: Predicting Brand Personality in Social Media Networks with Machine Learning

Journal of interactive marketing, 2021-11, Vol.56 (1), p.55-69

2021

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Document representation and classification with Twitter-based document embedding, adversarial domain-adaptation, and query expansion

Journal of heuristics, 2022-04, Vol.28 (2), p.211-233

2022

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Automatic Exam Correction Framework (AECF) for the MCQs, Essays, and Equations Matching

IEEE access, 2021, Vol.9, p.32368-32389

2021

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Discriminant document embeddings with an extreme learning machine for classifying clinical narratives

Neurocomputing (Amsterdam), 2018-02, Vol.277, p.129-138

2018

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Systematic Homonym Detection and Replacement Based on Contextual Word Embedding

Neural processing letters, 2021-02, Vol.53 (1), p.17-36

Lee, Younghoon

2021

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Richer Document Embeddings for Author Profiling tasks based on a heuristic search

Information processing & management, 2020-07, Vol.57 (4), p.102227, Article 102227

2020

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GAE-Based Document Embedding Method for Clustering

IEEE access, 2022, Vol.10, p.130089-130096

2022

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Neural Embeddings for the Elicitation of Jurisprudence Principles: The Case of Arabic Legal Texts

Applied sciences, 2022-04, Vol.12 (9), p.4188

2022

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Topic detection using paragraph vectors to support active learning in systematic reviews

Journal of biomedical informatics, 2016-08, Vol.62, p.59-65

2016

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Visualization of topic transitions in SNSs through document embedding and dimensionality reduction

Journal of visualization, 2023-12, Vol.26 (6), p.1405-1419

2023

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MP-BERT4REC: Recommending Multiple Positive Citations for Academic Manuscripts via Content-Dependent BERT and Multi-Positive Triplet

IEICE Transactions on Information and Systems, 2022/11/01, Vol.E105.D(11), pp.1957-1968

2022

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Tens-embedding: A Tensor-based document embedding method

Expert systems with applications, 2020-12, Vol.162, p.113770, Article 113770

2020

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Legal Document Retrieval Using Document Vector Embeddings and Deep Learning

Intelligent Computing, 2018, Vol.857, p.160-175

2018

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Enhancing Unsupervised Requirements Traceability with Sequential Semantics

Distant reading 940,000 online circulations of 26 iconic photographs

Cross-Domain Sentiment Encoding through Stochastic Word Embedding

A Hierarchical Structured Self-Attentive Model for Extractive Document Summarization (HSSAS)

Neural network embeddings on corporate annual filings for portfolio selection

Visual Exploration of Neural Document Embedding in Information Retrieval: Semantics and Feature Selection

Doc2vec-based link prediction approach using SAO structures: application to patent network

Knowledge-enhanced document embeddings for text classification

Beyond word embeddings: A survey

Unsupervised News Topic Modelling with Doc2Vec and Spherical Clustering

ELICE: Embedding Language through Informative Contrastive-Encoder

Problem formulation in inventive design using Doc2vec and Cosine Similarity as Artificial Intelligence methods and Scientific Papers

A Brand-New Look at You: Predicting Brand Personality in Social Media Networks with Machine Learning

Document representation and classification with Twitter-based document embedding, adversarial domain-adaptation, and query expansion

Automatic Exam Correction Framework (AECF) for the MCQs, Essays, and Equations Matching

Discriminant document embeddings with an extreme learning machine for classifying clinical narratives

Systematic Homonym Detection and Replacement Based on Contextual Word Embedding

Richer Document Embeddings for Author Profiling tasks based on a heuristic search

GAE-Based Document Embedding Method for Clustering

Neural Embeddings for the Elicitation of Jurisprudence Principles: The Case of Arabic Legal Texts

Topic detection using paragraph vectors to support active learning in systematic reviews

Visualization of topic transitions in SNSs through document embedding and dimensionality reduction

MP-BERT4REC: Recommending Multiple Positive Citations for Academic Manuscripts via Content-Dependent BERT and Multi-Positive Triplet

Tens-embedding: A Tensor-based document embedding method

Legal Document Retrieval Using Document Vector Embeddings and Deep Learning

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