TREC 2018 News Track Overview

By Ian Soboroff, Shudong Huang, Donna K. Harman. 2018

63 citations recorded by the source corpus.

Subfields: Natural Language Processing, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Jimmy J. Lin
2. Rodrigo Nogueira
3. Andrew Yates
4. Jing Liu
5. Ruiyang Ren
6. Ji-rong Wen
7. Wayne Xin Zhao
8. Zeynep Akkalyoncu Yilmaz

In Evaluation & Benchmarks

1. Rodrigo Nogueira
2. Andrew Yates
3. Jimmy J. Lin
4. Ji-rong Wen
5. Ruiyang Ren
6. Wayne Xin Zhao
7. Jing Liu

Citations in the corpus

• Pretrained Transformers for Text Ranking: BERT and Beyond (2020, methodology): “At the intersection of model design and the practical realities of GPU-based inference, Soldaini and Moschitti [2020] discuss a point that is worth repeating here.”
• Dense Text Retrieval Based on Pretrained Language Models: A Survey (2022, background): “Information retrieval Web MS MARCO [32] 502,939 532,761 6,980 6,837 8,841,823 Web mMARCO [44] 808,731 – 101,093 – 8,841,823 News TREC-NEWS [43] – – – 57 594,977 Biomedical TREC-COVID [45] – – – 50 171,332 Biomedical NFCorpus [46] 5,922 110,575 324 323 3,633 Twitter Signal-1M [47] – – – 97 2,866,316 ”
• Precise Zero-Shot Dense Retrieval without Relevance Labels (2022, unknown): “2017), TREC-NEWS (news articles; Soboroff et al. 2019), Climate-Fever (climate fact verification; Diggelmann et al.”