29 citations · 130 across the 17 of their papers we have counts for
4 papers · 1 filter
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries
Simiao Zuo, Pengfei Tang, Xinyu Hu +3
Named entity recognition (NER) is a crucial task for online advertisement. State-of-the-art solutions leverage pre-trained language models for this task. However, three major chall…
ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine
Weizhen Qi, Yeyun Gong, Yu Yan +6
In a sponsored search engine, generative retrieval models are recently proposed to mine relevant advertisement keywords for users' input queries. Generative retrieval models genera…
TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval
Wenhao Lu, Jian Jiao, Ruofei Zhang
Pre-trained language models like BERT have achieved great success in a wide variety of NLP tasks, while the superior performance comes with high demand in computational resources,…
Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors
Ying Shan, Jian Jiao, Jie Zhu +1
Rapid advances in GPU hardware and multiple areas of Deep Learning open up a new opportunity for billion-scale information retrieval with exhaustive search. Building on top of the…