149 citations · 218 across the 53 of their papers we have counts for
9 papers · 1 filter
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization
Yunlong Liang, Fandong Meng, Jinan Xu +3
Multimodal abstractive summarization (MAS) aims to produce a concise summary given the multimodal data (text and vision). Existing studies mainly focus on how to effectively use th…
BJTU-WeChat's Systems for the WMT22 Chat Translation Task
Yunlong Liang, Fandong Meng, Jinan Xu +2
This paper introduces the joint submission of the Beijing Jiaotong University and WeChat AI to the WMT'22 chat translation task for English-German. Based on the Transformer, we app…
Improved Data Augmentation for Translation Suggestion
Hongxiao Zhang, Siyu Lai, Songming Zhang +4
Translation suggestion (TS) models are used to automatically provide alternative suggestions for incorrect spans in sentences generated by machine translation. This paper introduce…
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment
Siyu Lai, Zhen Yang, Fandong Meng +3
Word alignment which aims to extract lexicon translation equivalents between source and target sentences, serves as a fundamental tool for natural language processing. Recent studi…
Scheduled Multi-task Learning for Neural Chat Translation
Yunlong Liang, Fandong Meng, Jinan Xu +2
Neural Chat Translation (NCT) aims to translate conversational text into different languages. Existing methods mainly focus on modeling the bilingual dialogue characteristics (e.g.…
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation
Siyu Lai, Zhen Yang, Fandong Meng +4
Generating adversarial examples for Neural Machine Translation (NMT) with single Round-Trip Translation (RTT) has achieved promising results by releasing the meaning-preserving res…
A Variational Hierarchical Model for Neural Cross-Lingual Summarization
Yunlong Liang, Fandong Meng, Chulun Zhou +4
The 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). Essentially, the CLS task is…
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Songming Zhang, Yijin Liu, Fandong Meng +4
Token-level adaptive training approaches can alleviate the token imbalance problem and thus improve neural machine translation, through re-weighting the losses of different target…
MSCTD: A Multimodal Sentiment Chat Translation Dataset
Yunlong Liang, Fandong Meng, Jinan Xu +2
Multimodal machine translation and textual chat translation have received considerable attention in recent years. Although the conversation in its natural form is usually multimoda…