627 Result(s)
within
Computer Science
Database Management
Information Storage and Retrieval
Fu** Lin
Chapter
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Chapter and Conference Paper
A Generalized Strategy of Chinese Grammatical Error Diagnosis Based on Task Decomposition and Transformation
The task of Chinese Grammatical Error Diagnosis (CGED) is considered challenging due to the diversity of error types and subtypes, as well as the imbalanced distribution of subtype occurrences and the emergenc...
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Chapter and Conference Paper
Enhancing Abnormal-Behavior-Based Stock Trend Prediction Algorithm with Cost-Sensitive Learning Using Genetic Algorithms
Stock market trend forecasting is an important and popular topic in academia or industry, and many studies have been proposed to handle this problem. Because stock market transactions are dynamic and nonlinear...
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Chapter and Conference Paper
Move Structure Recognition in Scientific Papers with Saliency Attribution
Move analysis is a primary research topic in computational linguistics that relates to pragmatics. It plays a crucial role in analyzing the intent and coherence of the text. This paper introduces a innovative ...
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Chapter and Conference Paper
Optimally Blending Honeypots into Production Networks: Hardness and Algorithms
Honeypot is an important cyber defense technique that can expose attackers’ new attacks (e.g., zero-day exploits). However, the effectiveness of honeypots has not been systematically investigated, beyond the r...
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Chapter and Conference Paper
Harvesting Event Schemas from Large Language Models
Event schema provides a conceptual, structural and formal language to represent events and model the world event knowledge. Unfortunately, it is challenging to automatically induce high-quality and high-covera...
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Chapter and Conference Paper
Domain-Driven and Discourse-Guided Scientific Summarisation
Scientific articles tend to follow a standardised discourse that enables a reader to quickly identify and extract useful or important information. We hypothesise that such structural conventions are strongly i...
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Chapter and Conference Paper
Answer Retrieval for Math Questions Using Structural and Dense Retrieval
Answer retrieval for math questions is a challenging task due to the complex and structured nature of mathematical expressions. In this paper, we combine a structure retriever and a domain-adapted ColBERT retr...
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Chapter and Conference Paper
Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offline Handwritten Mathematical Expression Recognition
Offline Handwritten Mathematical Expression Recognition (HMER) has been dramatically advanced recently by employing tree decoders as part of the encoder-decoder method. Despite the tree decoder-based methods r...
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Chapter and Conference Paper
An Optimization Algorithm for Extractive Multi-document Summarization Based on Association of Sentences
Designing of automatic summary extraction technology becomes more and more important as the number of documents increasing rapidly. At present, the indicators that are often used for summary evaluation includi...
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Chapter and Conference Paper
Synchronization Ratio of Time-Series Cross-Section and Teaching Material Clickstream for Visualization of Student Engagement
This paper describes a study that analyzed the synchronization ratio of learners’ teaching material browsing behavior during lessons using a learning management system and online teaching materials. In lessons...
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Chapter and Conference Paper
Learning Optimal and Personalized Knowledge Component Sequencing Policies
One of the goals of adaptive learning systems is to realize adaptive learning sequencing by optimizing the order of learning materials to be presented to different learners. This paper proposes a novel approac...
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Chapter and Conference Paper
High Quality Article Recognition Based on Ernie and Knowledge Map**
Nowadays, with the explosive growth of we media articles, in the context of information distribution such as search and recommendation, how to identify high-quality articles and distribute them to users has im...
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Chapter and Conference Paper
Modeling Student Discourse in Online Discussion Forums Using Semantic Similarity Based Topic Chains
Students’ conversations in academic settings evolve over time and can be affected by events such as the COVID-19 pandemic. In this paper, we employ a Contextualized Topic Modeling technique to detect coherent ...
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Chapter and Conference Paper
BERT-POS: Sentiment Analysis of MOOC Reviews Based on BERT with Part-of-Speech Information
Sentiment analysis and part-of-speech tagging are two main tasks in the field of Natural Language Processing (NLP). Bidirectional Encoder Representation from Transformers (BERT) model is a famous NLP model pro...
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Chapter and Conference Paper
Preliminary Design of an AI Service to Assist Self-regulated Learning by Edge Computing
When sitting in front of a computer screen for online learning, students can be easily distracted by other sources on the Internet. To help students improve their online learning experience, we implemented a h...
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Chapter and Conference Paper
Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking
While much recent work has demonstrated that hard negative mining can be used to train better bi-encoder models, few have considered it in the context of cross-encoders, which are key ingredients in modern re...
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Chapter and Conference Paper
An Efficient Prototype-Based Model for Handwritten Text Recognition with Multi-loss Fusion
Prototype learning has achieved good performance in many fields, showing higher flexibility and generalization. In this paper, we propose an efficient text line recognition method based on prototype learning w...
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Chapter and Conference Paper
Another Look at DPR: Reproduction of Training and Replication of Retrieval
Text retrieval using learned dense representations has recently emerged as a promising alternative to “traditional” text retrieval using sparse bag-of-words representations. One foundational work that has garn...
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Chapter and Conference Paper
EAU-Net: A New Edge-Attention Based U-Net for Nationality Identification
Identifying crime or individuals is one of the key tasks toward smart and safe city development when different nationals are involved. In this regard, identifying Nationality/Ethnicity through handwriting has ...
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Chapter and Conference Paper
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study
Pseudo-Relevance Feedback (PRF) utilises the relevance signals from the top-k passages from the first round of retrieval to perform a second round of retrieval aiming to improve search effectiveness. A recent res...
