Lecture Notes in Computer Science - Advances in Information Retrieval
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Published By Springer International Publishing

9783030721121, 9783030721138
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Multi-task Approach to Neural Multi-label Hierarchical Patent Classification Using Transformers

2021 ◽  
pp. 513-528
Author(s):  
Subhash Chandra Pujari ◽  
Annemarie Friedrich ◽  
Jannik Strötgen
Keyword(s):  
Patent Classification

An Enhanced Evaluation Framework for Query Performance Prediction

2021 ◽  
pp. 115-129
Author(s):  
Guglielmo Faggioli ◽  
Oleg Zendel ◽  
J. Shane Culpepper ◽  
Nicola Ferro ◽  
Falk Scholer
Keyword(s):  
Performance Prediction ◽  
Evaluation Framework ◽  
Query Performance

An E-Commerce Dataset in French for Multi-modal Product Categorization and Cross-Modal Retrieval

2021 ◽  
pp. 18-31
Author(s):  
Hesam Amoualian ◽  
Parantapa Goswami ◽  
Pradipto Das ◽  
Pablo Montalvo ◽  
Laurent Ach ◽  
...  

Modeling User Search Tasks with a Language-Agnostic Unsupervised Approach

2021 ◽  
pp. 405-418
Author(s):  
Luis Lugo ◽  
Jose G. Moreno ◽  
Gilles Hubert
Keyword(s):  
Search Tasks ◽  
Unsupervised Approach

scholarly journals Open-Domain Conversational Search Assistant with Transformers

2021 ◽  
pp. 130-145
Author(s):  
Rafael Ferreira ◽  
Mariana Leite ◽  
David Semedo ◽  
Joao Magalhaes
Keyword(s):  
Open Domain

scholarly journals Weakly-Supervised Open-Retrieval Conversational Question Answering

2021 ◽  
pp. 529-543
Author(s):  
Chen Qu ◽  
Liu Yang ◽  
Cen Chen ◽  
W. Bruce Croft ◽  
Kalpesh Krishna ◽  
...  
Keyword(s):  
Question Answering ◽  
Weakly Supervised

scholarly journals You Get What You Chat: Using Conversations to Personalize Search-Based Recommendations

2021 ◽  
pp. 207-223
Author(s):  
Ghazaleh H. Torbati ◽  
Andrew Yates ◽  
Gerhard Weikum

scholarly journals CEQE: Contextualized Embeddings for Query Expansion

2021 ◽  
pp. 467-482
Author(s):  
Shahrzad Naseri ◽  
Jeffrey Dalton ◽  
Andrew Yates ◽  
James Allan
Keyword(s):  
Query Expansion
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