arXiv:1803.11359
공식 코드 · Papers with Code
Automatic Generation of Chinese Short Product Titles for Mobile Display
원문 초록
This paper studies the problem of automatically extracting a short title from a manually written longer description of E-commerce products for display on mobile devices. It is a new extractive summarization problem on short text inputs, for which we propose a feature-enriched network model, combining three different categories of features in parallel. Experimental results show that our framework significantly outperforms several baselines by a substantial gain of 4.5%. Moreover, we produce an extractive summarization dataset for E-commerce short texts and will release it to the research community.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
SafeChat: A Framework for Building Trustworthy Collaborative Assistants and a Case Study of its Usefulness
OrderSum: Semantic Sentence Ordering for Extractive Summarization
A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text Summarization
Multi-label Sequential Sentence Classification via Large Language Model
Fair Summarization: Bridging Quality and Diversity in Extractive Summaries
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs
토론
이 논문과 연결된 포럼 글이 아직 없습니다.