Papers Cross-Lingual Abstractive Summarization
“Cross-Lingual Abstractive Summarization” 태그가 달린 논문 15편 · 필터 해제
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India
This paper introduces PMIndiaSum, a multilingual and massively parallel summarization corpus focused on languages in India. Our corpus provides a training and testing ground for four language families, 14 languages, and …
Cross-Lingual Abstractive SummarizationMultilingual NLPText SummarizationSimCSum: Joint Learning of Simplification and Cross-lingual Summarization for Cross-lingual Science Journalism
Cross-lingual science journalism generates popular science stories of scientific articles different from the source language for a non-expert audience. Hence, a cross-lingual popular summary must contain the salient cont…
Abstractive Text SummarizationArticlesCross-Lingual Abstractive SummarizationXWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages
Lack of encyclopedic text contributors, especially on Wikipedia, makes automated text generation for low resource (LR) languages a critical problem. Existing work on Wikipedia text generation has focused on English only …
ArticlesCross-Lingual Abstractive SummarizationDocument SummarizationExtractive Summarization+3Advancing Multilingual Pre-training: TRIP Triangular Document-level Pre-training for Multilingual Language Models
Despite the success of multilingual sequence-to-sequence pre-training, most existing approaches rely on document-level monolingual corpora in many different languages, sentence-level bilingual corpora,\footnote{In this p…
Abstractive Text SummarizationCross-Lingual Abstractive SummarizationDocument Level Machine TranslationMachine Translation+2CATAMARAN: A Cross-lingual Long Text Abstractive Summarization Dataset
Cross-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, it is still…
Abstractive Text SummarizationArticlesCross-Lingual Abstractive SummarizationThe Cross-lingual Conversation Summarization Challenge
We propose the shared task of cross-lingual conversation summarization, \emph{ConvSumX Challenge}, opening new avenues for researchers to investigate solutions that integrate conversation summarization and machine transl…
Abstractive Dialogue SummarizationConversation SummarizationCross-Lingual Abstractive SummarizationMachine Translation+2Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation
This paper demonstrates that multilingual pretraining and multilingual fine-tuning are both critical for facilitating cross-lingual transfer in zero-shot translation, where the neural machine translation (NMT) model is t…
Abstractive Text SummarizationCross-Lingual Abstractive SummarizationCross-Lingual TransferDecoder+4WikiMulti: a Corpus for Cross-Lingual Summarization
Cross-lingual summarization (CLS) is the task to produce a summary in one particular language for a source document in a different language. We introduce WikiMulti - a new dataset for cross-lingual summarization based on…
Abstractive Text SummarizationArticlesCross-Lingual Abstractive SummarizationClueGraphSum: Let Key Clues Guide the Cross-Lingual Abstractive Summarization
Cross-Lingual Summarization (CLS) is the task to generate a summary in one language for an article in a different language. Previous studies on CLS mainly take pipeline methods or train the end-to-end model using the tra…
Abstractive Text SummarizationCross-Lingual Abstractive SummarizationDecoderSentenceCrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs
We 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 langu…
Abstractive Text SummarizationArticlesCross-Lingual Abstractive SummarizationRetrieval+1Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation
This paper demonstrates that multilingual pretraining and multilingual fine-tuning are both critical for facilitating cross-lingual transfer in zero-shot translation, where the neural machine translation (NMT) model is t…
Abstractive Text SummarizationCross-Lingual Abstractive SummarizationCross-Lingual TransferDecoder+4Cross-Lingual Abstractive Summarization with Limited Parallel Resources
Parallel cross-lingual summarization data is scarce, requiring models to better use the limited available cross-lingual resources. Existing methods to do so often adopt sequence-to-sequence networks with multi-task frame…
Abstractive Text SummarizationCross-Lingual Abstractive SummarizationDecoderTransfer LearningThe GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics. Measuring progress in NLG relies on a constantly evolving ecosystem of automated metrics, datasets, and human evalu…
Abstractive Text SummarizationCross-Lingual Abstractive SummarizationData-to-Text GenerationExtreme Summarization+4Multi-Task Learning for Cross-Lingual Abstractive Summarization
We present a multi-task learning framework for cross-lingual abstractive summarization to augment training data. Recent studies constructed pseudo cross-lingual abstractive summarization data to train their neural encode…
Abstractive Text SummarizationCross-Lingual Abstractive SummarizationMachine TranslationMulti-Task Learning+2WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
We introduce WikiLingua, a large-scale, multilingual dataset for the evaluation of crosslingual abstractive summarization systems. We extract article and summary pairs in 18 languages from WikiHow, a high quality, collab…
Abstractive Text SummarizationCross-Lingual Abstractive SummarizationMachine TranslationTranslation