221 citations · 587 across the 23 of their papers we have counts for
4 papers · 1 filter
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation
Luyu Gao, Xinyi Wang, Graham Neubig
To improve the performance of Neural Machine Translation~(NMT) for low-resource languages~(LRL), one effective strategy is to leverage parallel data from a related high-resource la…
Understanding BERT Rankers Under Distillation
Luyu Gao, Zhuyun Dai, Jamie Callan
Deep language models such as BERT pre-trained on large corpus have given a huge performance boost to the state-of-the-art information retrieval ranking systems. Knowledge embedded…
Complementing Lexical Retrieval with Semantic Residual Embedding
Luyu Gao, Zhuyun Dai, Tongfei Chen +3
This paper presents CLEAR, a retrieval model that seeks to complement classical lexical exact-match models such as BM25 with semantic matching signals from a neural embedding match…
Modularized Transfomer-based Ranking Framework
Luyu Gao, Zhuyun Dai, Jamie Callan
Recent innovations in Transformer-based ranking models have advanced the state-of-the-art in information retrieval. However, these Transformers are computationally expensive, and t…