Papers with cross-lingual summaries

3 papers
Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos (2022.emnlp-main)

Copied to clipboard

Challenge: Existing multimodal summarization methods are limited to monolingual videos . a proposed task aims to generate cross-lingual summaries from multimodal inputs .
Approach: They propose a task to generate cross-lingual summaries from multimodal inputs of videos . they propose fusion network that integrates multimodal and cross-linguistic information .
Outcome: The proposed task outperforms existing methods on a reorganized How2 dataset on the reorganized How2 data set.
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation (2023.acl-long)

Copied to clipboard

Challenge: Existing work on cross-lingual summarization (CLS) does not consider crosslingual sources for summarizing.
Approach: They propose a cross-lingual conversation summarization benchmark that explicitly considers source context.
Outcome: The proposed method surpasses baselines on ConvSumX and 3 widely-used manual annotations.
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization (2020.acl-main)

Copied to clipboard

Challenge: Existing studies on cross-lingual summarization focus on pipeline methods and training end-to-end models.
Approach: They propose to jointly learn to align and align to train a neural cross-lingual summarization model by using a large-scale corpus.
Outcome: The proposed model outperforms competing models in most cases and can generate cross-lingual summaries without access to any cross-linguistic corpus.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations