activity
20192022
most citedCombining Context and Knowledge Representations for Chemical-Disease Relation Extraction

20 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20221 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.CL20215 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.CL201920 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…