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Intra-Document Cascading: Learning to Select Passages for Neural
  Document Ranking

Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking

20 May 2021
Sebastian Hofstatter
Bhaskar Mitra
Hamed Zamani
Nick Craswell
Allan Hanbury
ArXivPDFHTML

Papers citing "Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking"

5 / 5 papers shown
Title
Enhanced Retrieval of Long Documents: Leveraging Fine-Grained Block Representations with Large Language Models
Enhanced Retrieval of Long Documents: Leveraging Fine-Grained Block Representations with Large Language Models
Minghan Li
Eric Gaussier
Guodong Zhou
RALM
68
0
0
28 Jan 2025
RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models
RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models
Maria Heuss
Maarten de Rijke
Avishek Anand
106
1
0
24 Mar 2024
Towards Proactively Forecasting Sentence-Specific Information Popularity
  within Online News Documents
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents
Sayar Ghosh Roy
Anshul Padhi
Risubh Jain
Manish Gupta
Vasudeva Varma
AI4TS
26
2
0
31 Dec 2022
Overview of the TREC 2020 deep learning track
Overview of the TREC 2020 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
54
368
0
15 Feb 2021
Pretrained Transformers for Text Ranking: BERT and Beyond
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
239
611
0
13 Oct 2020
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