14 citations · 28 across the 13 of their papers we have counts for
5 papers · 1 filter
PoolRank: Max/Min Pooling-based Ranking Loss for Listwise Learning & Ranking Balance
Zhizhong Chen, Carsten Eickhoff
Numerous neural retrieval models have been proposed in recent years. These models learn to compute a ranking score between the given query and document. The majority of existing mo…
ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss
Zhizhong Chen, Carsten Eickhoff
The goal of information retrieval is to recommend a list of document candidates that are most relevant to a given query. Listwise learning trains neural retrieval models by compari…
The Cross-Lingual Arabic Information REtrieval (CLAIRE) System
Zhizhong Chen, Carsten Eickhoff
Despite advances in neural machine translation, cross-lingual retrieval tasks in which queries and documents live in different natural language spaces remain challenging. Although…
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain
Ruochen Zhang, Carsten Eickhoff
In the pursuit of natural language understanding, there has been a long standing interest in tracking state changes throughout narratives. Impressive progress has been made in mode…
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification
Abdullah Ahmed, Adeel Abbasi, Carsten Eickhoff
Electronic Health Records (EHRs) have become the primary form of medical data-keeping across the United States. Federal law restricts the sharing of any EHR data that contains prot…