research
∙
01/18/2021
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
Supervised machine learning models and their evaluation strongly depends...
share
research
∙
08/12/2020
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering
There are many existing retrieval and question answering datasets. Howev...
research
∙
05/17/2020
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts
The success of crowdsourcing based annotation of text corpora depends on...
research
∙
02/04/2020
Interpretable Time-Budget-Constrained Contextualization for Re-Ranking
Search engines operate under a strict time constraint as a fast response...
research
∙
01/15/2020
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations
The effective extraction of ranked disease-symptom relationships is a cr...
research
∙
12/10/2019
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results
In this paper we look beyond metrics-based evaluation of Information Ret...
research
∙
12/03/2019