Implicit Sensitive Text Summarization based on Data Conveyed by Connectives
So far and trying to reach human capabilities, research in automatic summarization has been based on hypothesis that are both enabling and limiting. Some of these limitations are: how to take into account and reflect (in the generated summary) the implicit information conveyed in the text, the author intention, the reader intention, the context influence, the general world knowledge. Thus, if we want machines to mimic human abilities, then they will need access to this same large variety of knowledge. The implicit is affecting the orientation and the argumentation of the text and consequently its summary. Most of Text Summarizers (TS) are processing as compressing the initial data and they necessarily suffer from information loss. TS are focusing on features of the text only, not on what the author intended or why the reader is reading the text. In this paper, we address this problem and we present a system focusing on acquiring knowledge that is implicit. We principally spotlight the implicit information conveyed by the argumentative connectives such as: but, even, yet and their effect on the summary.
Code (0)
등록된 구현이 없습니다.
Tasks
Text SummarizationWorld KnowledgeMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Aligning Uncertainty: Leveraging LLMs to Analyze Uncertainty Transfer in Text Summarization
Automatically generated summaries can be evaluated along different dimensions, one being how faithfully the uncertainty from the source text is conveyed in the summary. We present a study on uncertainty alignment in auto…
ArticlesText SummarizationMoCA: Implicit Social Context Analysis
Human social communication, such as affection and intent, is often conveyed in highly implicit ways, where underlying meanings are expressed through indirect, socially and culturally grounded signals rather than explicit…
Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization
Emotion is a key element in user-generated videos. However, it is difficult to understand emotions conveyed in such videos due to the complex and unstructured nature of user-generated content and the sparsity of video fr…
Emotion RecognitionTransfer LearningVideo Emotion RecognitionZero-Shot LearningA description of Turkish Discourse Bank 1.2 and an examination of common dependencies in Turkish discourse
We describe Turkish Discourse Bank 1.2, the latest version of a discourse corpus annotated for explicitly or implicitly conveyed discourse relations, their constitutive units, and senses in the Penn Discourse Treebank st…
Discourse ParsingA Tool for Extracting Conversational Implicatures
Explicitly conveyed knowledge represents only a portion of the information communicated by a text snippet. Automated mechanisms for deriving explicit information exist; however, the implicit assumptions and default infer…
Common Sense ReasoningImplicaturesWorld Knowledge