14.5k citations · 48.8k across the 185 of their papers we have counts for
7 papers · 1 filter
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
Edwin Zhang, Nikhil Gupta, Raphael Tang +8
We present Covidex, a search engine that exploits the latest neural ranking models to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institut…
Navigation-Based Candidate Expansion and Pretrained Language Models for Citation Recommendation
Rodrigo Nogueira, Zhiying Jiang, Kyunghyun Cho +1
Citation recommendation systems for the scientific literature, to help authors find papers that should be cited, have the potential to speed up discoveries and uncover new routes f…
Multi-Stage Document Ranking with BERT
Rodrigo Nogueira, Wei Yang, Kyunghyun Cho +1
The advent of deep neural networks pre-trained via language modeling tasks has spurred a number of successful applications in natural language processing. This work explores one su…
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…
Passage Re-ranking with BERT
Rodrigo Nogueira, Kyunghyun Cho
Recently, neural models pretrained on a language modeling task, such as ELMo (Peters et al., 2017), OpenAI GPT (Radford et al., 2018), and BERT (Devlin et al., 2018), have achieved…
The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging
Keunwoo Choi, George Fazekas, Kyunghyun Cho +1
Deep neural networks (DNN) have been successfully applied to music classification including music tagging. However, there are several open questions regarding the training, evaluat…