117 citations · 217 across the 10 of their papers we have counts for
13 papers
Compressing Cross-Lingual Multi-Task Models at Qualtrics
Daniel Campos, Daniel Perry, Samir Joshi +4
Experience management is an emerging business area where organizations focus on understanding the feedback of customers and employees in order to improve their end-to-end experienc…
IMG2SMI: Translating Molecular Structure Images to Simplified Molecular-input Line-entry System
Daniel Campos, Heng Ji
Like many scientific fields, new chemistry literature has grown at a staggering pace, with thousands of papers released every month. A large portion of chemistry literature focuses…
Curriculum learning for language modeling
Daniel Campos
Language Models like ELMo and BERT have provided robust representations of natural language, which serve as the language understanding component for a diverse range of downstream t…
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +2
Evaluation efforts such as TREC, CLEF, NTCIR and FIRE, alongside public leaderboard such as MS MARCO, are intended to encourage research and track our progress, addressing big ques…
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +3
The TREC Deep Learning (DL) Track studies ad hoc search in the large data regime, meaning that a large set of human-labeled training data is available. Results so far indicate that…
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard
Jimmy Lin, Daniel Campos, Nick Craswell +2
Leaderboards are a ubiquitous part of modern research in applied machine learning. By design, they sort entries into some linear order, where the top-scoring entry is recognized as…