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Sparse summary generation
The state-of-the-art summary generators build on powerful language models, such as BERT, which achieves impressive performance. However, most models...
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A Step-by-Step Gradient Penalty with Similarity Calculation for Text Summary Generation
The summary generation model equipped with gradient penalty avoids overfitting and makes the model more stable. However, the traditional gradient...
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Automatic Generation of Discharge Summary of EMRs Based on Multi-granularity Information Fusion
Discharge summaries are a significant component of electronic medical records, playing a crucial role in follow-up treatment and scientific research....
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Yes, This Is What I Was Looking For! Towards Multi-modal Medical Consultation Concern Summary Generation
Over the past few years, the use of the Internet for healthcare-related tasks has grown by leaps and bounds, posing a challenge in effectively...
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ForkXplorer: an approach of fork summary generation
Pull-based development has become an important paradigm for distributed software development. In this model, each developer independently works on a...
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SeburSum: a novel set-based summary ranking strategy for summary-level extractive summarization
Summary-level extractive summarization is often regarded as a text-matching task, which selects the summary that is semantically closest to the...
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T4S: Two-Stage Screenplay Synopsis Summary Generation with Turning Points
The recent advancements in neural network models and the availability of vast amounts of data, automatic summarization technology has become one of...
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Summary
Due to the diverse nature of the individual chapters, the summary is divided into individual chapters. The book as a whole is summarised in the last...
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An Approach of Code Summary Generation Using Multi-Feature Fusion Based on Transformer
The automatic generation of code comments is an important research in program understanding. Code summary describes the function and purpose of the...
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Preliminary Performance Assessment on Ask4Summary’s Reading Methods for Summary Generation
Ask4Summary creates summary for students’ questions based on text-based learning materials. This study conducts a preliminary assessment on...
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Summary
Not only the technological perspective of IT but more and more the human side of IT is coming into focus. IT drives change and must be able to handle...
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Summary
This chapter provides a summary of the whole book and presents some challenges that may hinder the real-world application of PLS techniques....
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DA-ResNet: dual-stream ResNet with attention mechanism for classroom video summary
It is important to generate both diverse and representative video summary for massive videos. In this paper, a convolution neural network based on...
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Summary
The generation of a Unifying Ancestry for Western Europeans is beneficial for archivists (providing a familial index for persons mentioned in...
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Summary and Future Directions
This chapter summarizes the breakthrough of knowledge-augmented NLP techniques in three lines: natural language understanding, natural language...
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I2DFormer+: Learning Image to Document Summary Attention for Zero-Shot Image Classification
Despite the tremendous progress in zero-shot learning (ZSL), the majority of existing methods still rely on human-annotated attributes, which are...
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Text summary evaluation based on interpretable semantic textual similarity
Text summarization methods are much needed to tackle the ever-increasing volume of text data, accessible online to help us find the relevant...
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Diagnostics-Guided Explanation Generation
Explanations help reveal the reasoning behind a model’s predictions, building user trust and aiding in identifying vulnerabilities. European law even...
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Executive Summary
Recent advancements in machine learning, particularly in natural language processing, have been marked by the emergence of large models pretrained on...
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Foundation Models for Text Generation
This chapter discusses Foundation Models for Text Generation. This includes systems for Document Retrieval, which accept a query and return an...