Cross Lingual Summarization
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A Workbench for Rapid Generation of Cross-Lingual Summaries
The need for cross-lingual information access is more than ever with the easy accessibility to the Internet, especially in vastly multilingual societies like India. Cross-lingual summarization can help minimize human …...
Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization
AbstractCross-lingual summarization aims at summarizing a document in one language (e.g., Chinese) into another language (e.g., English). In this paper, we propose a novel method inspired by the translation pattern …...
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization
AbstractCross-lingual summarization is the task of generating a summary in one language given a text in a different language. Previous works on cross-lingual summarization mainly focus on using pipeline methods …...
Mixed-Lingual Pre-training for Cross-lingual Summarization
AbstractCross-lingual Summarization (CLS) aims at producing a summary in the target language for an article in the source language. Traditional solutions employ a two-step approach, i.e. translate -> summarize or …...
A Survey on Cross-Lingual Summarization
AbstractCross-lingual summarization is the task of generating a summary in one language (e.g., English) for the given document(s) in a different language (e.g., Chinese). Under the globalization background, this task …...
A Variational Hierarchical Model for Neural Cross-Lingual Summarization
AbstractThe goal of the cross-lingual summarization (CLS) is to convert a document in one language (e.g., English) to a summary in another one (e.g., Chinese). The CLS task is essentially …...
CATAMARAN: A Cross-lingual Long Text Abstractive Summarization Dataset
AbstractCross-lingual summarization, which produces the summary in one language from a given source document in another language, could be extremely helpful for humans to obtain information across the world. However, …...
EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain
AbstractExisting summarization datasets come with two main drawbacks: (1) They tend to focus on overly exposed domains, such as news articles or wiki-like texts, and (2) are primarily monolingual, with …...
CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs
AbstractWe present CrossSum, a large-scale cross-lingual summarization dataset comprising 1.68 million article-summary samples in 1,500+ language pairs. We create CrossSum by aligning parallel articles written in different languages via cross-lingual …...
MCLS: A Large-Scale Multimodal Cross-Lingual Summarization Dataset
Abstract“Multimodal summarization which aims to generate summaries with multimodal inputs, e.g., textand visual features, has attracted much attention in the research community. However, previousstudies only focus on monolingual multimodal summarization …...
Towards Unifying Multi-Lingual and Cross-Lingual Summarization
AbstractTo adapt text summarization to the multilingual world, previous work proposes multi-lingual summarization (MLS) and cross-lingual summarization (CLS). However, these two tasks have been studied separately due to the different …...