133 citations · 211 across the 3 of their papers we have counts for
6 papers
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering
Wei Yang, Yuqing Xie, Luchen Tan +3
Recently, a simple combination of passage retrieval using off-the-shelf IR techniques and a BERT reader was found to be very effective for question answering directly on Wikipedia,…
Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models
Wei Yang, Kuang Lu, Peilin Yang +1
Is neural IR mostly hype? In a recent SIGIR Forum article, Lin expressed skepticism that neural ranking models were actually improving ad hoc retrieval effectiveness in limited dat…
Document Expansion by Query Prediction
Rodrigo Nogueira, Wei Yang, Jimmy Lin +1
One technique to improve the retrieval effectiveness of a search engine is to expand documents with terms that are related or representative of the documents' content.From the pers…
Simple Applications of BERT for Ad Hoc Document Retrieval
Wei Yang, Haotian Zhang, Jimmy Lin
Following recent successes in applying BERT to question answering, we explore simple applications to ad hoc document retrieval. This required confronting the challenge posed by doc…
End-to-End Open-Domain Question Answering with BERTserini
Wei Yang, Yuqing Xie, Aileen Lin +5
We demonstrate an end-to-end question answering system that integrates BERT with the open-source Anserini information retrieval toolkit. In contrast to most question answering and…
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
Wei Yang, Wei Lu, Vincent W. Zheng
Learning word embeddings has received a significant amount of attention recently. Often, word embeddings are learned in an unsupervised manner from a large collection of text. The…