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Found 31 papers, 7 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。”
基于半监督学习的中文社交文本事件聚类方法(Semi-supervised Method to Cluster Chinese Events on Social Streams)
面向社交媒体的事件聚类旨在根据事件特征对短文本聚类。目前, 事件聚类模型主要分为无监督模型和有监督模型。无监督模型聚类效果较差, 有监督模型依赖大量标注数据。基于此, 本文提出了一种半监督事件聚类模型(SemiEC), 该模型在小规模标注数据的基础上, 利用LSTM表征事件, 利用线性模型计算文本相似度, 进行增量聚类, 利用增量聚类产生的标注数据对模型再训练, 结束后对不确定样本再聚类。实验表明, SemiEC的性能相比其他模型均有所提高。
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.
A Distance-Aware Multi-Task Framework for Conversational Discourse Parsing
Conversational discourse parsing aims to construct an implicit utterance dependency tree to reflect the turn-taking in a multi-party conversation.
Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning
Document-level Event Factuality Identification (DEFI) predicts the factuality of a specific event based on a document from which the event can be derived, which is a fundamental and crucial task in Natural Language Processing (NLP).
DCT-Centered Temporal Relation Extraction
Most previous work on temporal relation extraction only focused on extracting the temporal relations among events or suffered from the issue of different expressions of events, timexes and Document Creation Time (DCT).
Ranked #1 on
Temporal Relation Classification
on TB-Dense
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.
CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities
Event coreference resolution (ECR) aims to group event mentions referring to the same real-world event into clusters.
Quantifying Self-diagnostic Atomic Knowledge in Chinese Medical Foundation Model: A Computational Analysis
Recent studies primarily focused on the quality of FMs evaluated by GPT-4 or their ability to pass medical exams, no studies have quantified the extent of self-diagnostic atomic knowledge stored in FMs' memory, which is the basis of foundation models to provide factual and reliable suggestions.
GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning
Although model parameters are 20x larger than the SOTA baseline, the required amount of data for instruction tuning is 1200x smaller, illustrating the potential of open-source LLMs on native CGEC.
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.
Topic-driven Distant Supervision Framework for Macro-level Discourse Parsing
Discourse parsing, the task of analyzing the internal rhetorical structure of texts, is a challenging problem in natural language processing.
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.
Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Study
In this paper, we aim to systematically inspect ChatGPT's performance in two discourse analysis tasks: topic segmentation and discourse parsing, focusing on its deep semantic understanding of linear and hierarchical discourse structures underlying dialogue.
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.
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.
A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure
Due to its great importance in deep natural language understanding and various down-stream applications, text-level parsing of discourse rhetorical structure (DRS) has been drawing more and more attention in recent years.
Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese
In the literature, most of the previous studies on English implicit discourse relation recognition only use sentence-level representations, which cannot provide enough semantic information in Chinese due to its unique paratactic characteristics.
Document-Level Event Factuality Identification via Adversarial Neural Network
Document-level event factuality identification is an important subtask in event factuality and is crucial for discourse understanding in Natural Language Processing (NLP).
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.
Employing Text Matching Network to Recognise Nuclearity in Chinese Discourse
The task of nuclearity recognition in Chinese discourse remains challenging due to the demand for more deep semantic information.
Global Inference to Chinese Temporal Relation Extraction
Previous studies on temporal relation extraction focus on mining sentence-level information or enforcing coherence on different temporal relation types among various event mentions in the same sentence or neighboring sentences, largely ignoring those discourse-level temporal relations in nonadjacent sentences.
