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Found 12 papers, 2 papers with code
基于新闻图式结构的篇章功能语用识别方法(Discourse Functional Pragmatics Recognition Based on News Schemata)
“篇章分析是自然语言处理领域的研究热点和重点, 篇章功能语用研究旨在分析篇章单元在篇章中的功能和作用, 有助于深入理解篇章的主题和内容。目前篇章分析研究以形式语法为主, 而篇章作为一个整体的语义单位, 其功能和语义却没有引起足够重视。已有功能语用研究以面向事件抽取任务为主, 并未进行通用领域的功能语用研究。鉴于功能语用研究的重要性和研究现状, 本文提出了基于新闻图式结构的篇章功能语用识别方法来识别篇章功能语用。该方法在获取段落交互信息的同时又融入了篇章的新闻图式结构信息, 并结合段落所在篇章中的位置信息, 从而有效地提高了篇章功能语用的识别能力。在汉语宏观篇章树库的实验结果证明, 本文提出的方法优于所有基准系统。”
Not Just Classification: Recognizing Implicit Discourse Relation on Joint Modeling of Classification and Generation
Therefore, we first view IDRR as a generation task and further propose a method joint modeling of the classification and generation.
Automated Chinese Essay Scoring from Multiple Traits
Automatic Essay Scoring (AES) is the task of using the computer to evaluate the quality of essays automatically.
Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and Benchmark
Topic segmentation and outline generation strive to divide a document into coherent topic sections and generate corresponding subheadings, unveiling the discourse topic structure of a document.
Multi-Granularity Prompts for Topic Shift Detection in Dialogue
The goal of dialogue topic shift detection is to identify whether the current topic in a conversation has changed or needs to change.
Topic Shift Detection in Chinese Dialogues: Corpus and Benchmark
And then we focus on the response-unknown task and propose a teacher-student framework based on hierarchical contrastive learning to predict the topic shift without the response.
SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model
Basically, we merge the features provided by the gene language model into our chromatin accessibility model.
Chinese Paragraph-level Discourse Parsing with Global Backward and Local Reverse Reading
Discourse structure tree construction is the fundamental task of discourse parsing and most previous work focused on English.
Joint Modeling of Structure Identification and Nuclearity Recognition in Macro Chinese Discourse Treebank
Discourse parsing is a challenging task and plays a critical role in discourse analysis.
MCDTB: A Macro-level Chinese Discourse TreeBank
In view of the differences between the annotations of micro and macro discourse rela-tionships, this paper describes the relevant experiments on the construction of the Macro Chinese Discourse Treebank (MCDTB), a higher-level Chinese discourse corpus.
