Bayu Trisedya

GCP: Graph Encoder With Content-Planning for Sentence Generation From Knowledge Bases

Bayu Distiawan Trisedya, Jianzhong Qi, Wei Wang, Rui Zhang

Journal article  |  2022  |  IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A knowledge base is a large repository of facts usually represented as triples, each consisting of a subject, a predicate, and an ..

A benchmark and comprehensive survey on knowledge graph entity alignment via representation learning

Rui Zhang, Bayu Distiawan Trisedya, Miao Li, Yong Jiang, Jianzhong Qi

Conference Proceedings  |  2022  |  VLDB JOURNAL

In the last few years, the interest in knowledge bases has grown exponentially in both the research community and the industry due..

Grouped-Attention for Content-Selection and Content-Plan Generation

Bayu Distiawan Trisedya, Xiaojie Wang, Jianzhong QI, Rui Zhang, Qingjun Cui

Conference Proceedings  |  2021  |  Findings of the Association for Computational Linguistics: EMNLP 2021

Recent neural data-to-text generation models employ Pointer Networks to explicitly learn content-plan given a set of attributes as..

Knowledge base enrichment via deep neural networks

Bayu Distiawan Trisedya

Thesis / Dissertation  |  2020

A knowledge base is a large repository that typically stores information about real-world entities. Several efforts have been made..

Sentence Generation for Entity Description with Content-Plan Attention

Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang

Conference Proceedings  |  2020  |  THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

We study neural data-to-text generation. Specifically, we consider a target entity that is associated with a set of attributes. We..

Entity Alignment between Knowledge Graphs Using Attribute Embeddings

Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang

Conference Proceedings  |  2019  |  Proceedings of the AAAI Conference on Artificial Intelligence

The task of entity alignment between knowledge graphs aims to find entities in two knowledge graphs that represent the same real-w..

Neural Relation Extraction for Knowledge Base Enrichment

Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang

Conference Proceedings  |  2019  |  Proceedings of the 57th Annual Meeting of the Association-for-Computational-Linguistics (ACL)

We study relation extraction for knowledge base (KB) enrichment. Specifically, we aim to extract entities and their relationships ..

GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data

Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang, Wei Wang

Conference Proceedings  |  2018  |  PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

A knowledge base is a large repository of facts that are mainly represented as RDF triples, each of which consists of a subject, a..

Stock Price Prediction using Linear Regression based on Sentiment Analysis

Yahya Eru Cakra, Bayu Distiawan Trisedya

Conference Proceedings  |  2015  |  2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS)

Spark-Gram: Mining Frequent N-grams Using Parallel Processing in Spark

Prasetya Ajie Utama, Bayu Distiawan

Conference Proceedings  |  2015  |  2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS)