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Chapter and Conference Paper
Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network
Syntax knowledge contributes its powerful strength in Neural machine translation (NMT) tasks. Early NMT works supposed that syntax details can be automatically learned from numerous texts via attention network...
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Chapter and Conference Paper
A Distantly-Supervised Relation Extraction Method Based on Selective Gate and Noise Correction
Entity relation extraction, as a core task of information extraction, aims to predict the relation of entity pairs identified by text, and its research results are applied to various fields. To address the pro...
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Chapter and Conference Paper
Towards Malay Abbreviation Disambiguation: Corpus and Unsupervised Model
Abbreviation disambiguation constitutes a highly crucial natural language processing task in all languages, including Malay. Its objective involves the identification of the most suitable definition, from a ca...
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Chapter and Conference Paper
Towards Indonesian Phrase Extraction: Framework and Corpus
Mining quality phrases is one of the basic tasks of natural language processing. Current research mainly focuses on universal languages but is rarely conducted for low-resource languages such as Indonesian. To...
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Chapter and Conference Paper
Construction and Evaluation of Chinese Word Segmentation Datasets in Malay Archipelago
In recent years, there has been numerous mature research on Chinese word segmentation (CWS). However, the existing research mainly focuses on mainland Mandarin word segmentation, and the research on CWS of oth...
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Chapter and Conference Paper
Pre-trained Language Models for Tagalog with Multi-source Data
Pre-trained language models (PLMs) for Tagalog can be categorized into two kinds: monolingual models and multilingual models. However, existing monolingual models are only trained in small-scale Wikipedia corp...
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Chapter and Conference Paper
Pre-trained Models and Evaluation Data for the Myanmar Language
Pre-trained language models (PLMs), which working for downstream natural language processing (NLP) tasks with the large corpus ubiquitously and favorably, have outstanding effectiveness due to their ability to...
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Chapter and Conference Paper
An Indonesian Sentiment Classification Model Based on Multi-task Learning
With the rapid development of social network, people are keen on giving voice to their feelings on social media containing their attitude towards products or services, which is significant for company to have ...
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Chapter and Conference Paper
FGN: Fusion Glyph Network for Chinese Named Entity Recognition
As pictographs, Chinese characters contain latent glyph information, which is often overlooked. In this paper, we propose the FGN (https://githup.com/AidenHuen/FGN-NER
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Chapter and Conference Paper
Multi-domain Sentiment Classification on Self-constructed Indonesian Dataset
Domain-dependence limits the application of a well-trained sentiment classifier based on one domain data in other different domains. To solve this problem, multi-domain sentiment classification has received gr...
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Chapter and Conference Paper
A Framework for Identifying Event’s Relevance Comments in Twitter
Nowadays, with the continuous development of the Internet, public opinion analysis has become an indispensable means for governments and companies to grasp public opinion trends and respond promptly to emergen...
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Chapter and Conference Paper
A Two-Stage Overlap** Community Detection Based on Structure and Node Attributes in Online Social Networks
Traditional community detection algorithms are mainly based on network structure, while ignoring a large number of node attributes. In this paper, we propose a two-stage overlap** community detection method ...
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Chapter and Conference Paper
Evaluation of Scholar’s Contribution to Team Based on Weighted Co-author Network
The contributions of scientific researchers include personal influence and talent training achievements. In this paper, using 9964 high-quality co-author scientific papers in English teaching research from Chi...
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Chapter and Conference Paper
User-Characteristic Enhanced Model for Fake News Detection in Social Media
In recent years, social media has become an ideal channel for news consumption while it also contributes to the rapid dissemination of fake news out of easy access and low cost. Fake news has detrimental effec...
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Chapter and Conference Paper
Chinese Question Classification Based on Semantic Joint Features
Question classification is an important research content in automatic question-answering system. Chinese question sentences are different from long texts and those short texts like comments on product. They ge...
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Chapter and Conference Paper
Recurrent Neural CRF for Aspect Term Extraction with Dependency Transmission
This paper presents a novel neural architecture for aspect term extraction in fine-grained sentiment computing area. In addition to amalgamating sequential features (character embedding, word embedding and POS...
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Chapter and Conference Paper
A Fusion Model of Multi-data Sources for User Profiling in Social Media
User profiling in social media plays an important role in different applications. Most of the existing approaches for user profiling are based on user-generated messages, which is not sufficient for inferring ...
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Chapter and Conference Paper
P3ASC: Privacy-Preserving Pseudonym and Attribute-Based Signcryption Scheme for Cloud-Based Mobile Healthcare System
With the development of wireless body sensor network and mobile cloud computing, cloud-based mobile healthcare, which extends the operation of healthcare provider into a pervasive environment for better health...
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Chapter and Conference Paper
A CRFs-Based Approach Empowered with Word Representation Features to Learning Biomedical Named Entities from Medical Text
Targeting at identifying specific types of entities, biomedical named entity recognition is a fundamental task of biomedical text processing. This paper presents a CRFs-based approach to learning disease entit...
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Chapter and Conference Paper
An Efficient Adaptive-ID Secure Revocable Hierarchical Identity-Based Encryption Scheme
User revocation is an important functional requirement in hierarchical identity-based encryption (HIBE) scheme from the point of practical applications. In this paper, we propose a revocable HIBE scheme with c...
