activity
20192023
most citedCombining Context and Knowledge Representations for Chemical-Disease Relation Extraction

20 citations · 26 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CL2023

Exploring Better Text Image Translation with Multimodal Codebook

Zhibin Lan, Jiawei Yu, Xiang Li +5

Text image translation (TIT) aims to translate the source texts embedded in the image to target translations, which has a wide range of applications and thus has important research…

cs.CL2022★ 1 cited

Towards Robust k-Nearest-Neighbor Machine Translation

Hui Jiang, Ziyao Lu, Fandong Meng +4

k-Nearest-Neighbor Machine Translation (kNN-MT) becomes an important research direction of NMT in recent years. Its main idea is to retrieve useful key-value pairs from an addition…

cs.CL2021

Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings

Shaopeng Lai, Ante Wang, Fandong Meng +6

Dominant sentence ordering models can be classified into pairwise ordering models and set-to-sequence models. However, there is little attempt to combine these two types of models,…

cs.CL2021

Towards User-Driven Neural Machine Translation

Huan Lin, Liang Yao, Baosong Yang +5

A good translation should not only translate the original content semantically, but also incarnate personal traits of the original text. For a real-world neural machine translation…

cs.CL2021★ 5 cited

Exploring Dynamic Selection of Branch Expansion Orders for Code Generation

Hui Jiang, Chulun Zhou, Fandong Meng +5

Due to the great potential in facilitating software development, code generation has attracted increasing attention recently. Generally, dominant models are Seq2Tree models, which…

cs.CL2019★ 20 cited

Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction

Huiwei Zhou, Yunlong Yang, Shixian Ning +4

Automatically extracting the relationships between chemicals and diseases is significantly important to various areas of biomedical research and health care. Biomedical experts hav…