Content-based table retrieval for web queries

Y Sun, Z Yan, D Tang, N Duan, B Qin - Neurocomputing, 2019 - Elsevier
retrieval is of great importance for both natural language processing and information
retrieval… of two last hidden states as the final query representation v q = [ h → n , h ← n ] . …

Information retrieval and text mining

C Kit, JY Nie - Routledge Encyclopedia of Translation …, 2023 - api.taylorfrancis.com
information retrieval ever available in human history. The World Wide Web has become the
largest source of information … ’ body of literature, we can infer a hidden A–C relationship, ie, A …

Neural information retrieval: At the end of the early years

KD Onal, Y Zhang, IS Altingovde, MM Rahman… - Information Retrieval …, 2018 - Springer
… Recent years have witnessed an explosive growth of research into NN-based approaches
to information retrieval (IR). A significant body of work has now been created. In this paper, we …

Here and now: Reality-based information retrieval: Perspective paper

W Büschel, A Mitschick, R Dachselt - … Information Interaction & Retrieval, 2018 - dl.acm.org
… Statistics show that today more web searches take place on mobile devices than on … There,
these Filter Bubbles would extend to the real world with differing opinions being hidden from …

Hintless single-server private information retrieval

B Li, D Micciancio, M Raykova… - Cryptology ePrint …, 2023 - eprint.iacr.org
… We present two new constructions for private information retrieval (PIR) in the classical …
dependent information, and the server does not need to store any client-dependent information. …

Towards question-based high-recall information retrieval: Locating the last few relevant documents for technology-assisted reviews

J Zou, E Kanoulas - ACM Transactions on Information Systems (TOIS), 2020 - dl.acm.org
… Compared with the traditional approaches, interactive information retrieval achieves high
recall with a human-in-the-loop. It suggests putting the human-in-the-loop and learning a …

A personalised user preference and feature based semantic information retrieval system in semantic web search

PM John, S Arockiasamy… - International Journal of …, 2018 - inderscienceonline.com
In this work, an ontology based Semantic Supported Information Retrieval System (SIRS) is
introduced, in which the users give the input query which is determined by the Hypertext …

Social networks and information retrieval, how are they converging? A survey, a taxonomy and an analysis of social information retrieval approaches and platforms

MR Bouadjenek, H Hacid, M Bouzeghoub - Information Systems, 2016 - Elsevier
… indexes and/or ontologies, which are hidden for users. The resulting documents are not …
use of trusted sources of information (eg, information provided by authors of web pages) is …

Web table retrieval using multimodal deep learning

R Shraga, H Roitman, G Feigenblat… - … in information retrieval, 2020 - dl.acm.org
… Depending on the underlying (hidden) information needs expressed in user queries, we
would like the model to be able to estimate which table modalities are the most relevant for …

A linguistic study on relevance modeling in information retrieval

Y Fan, J Guo, X Ma, R Zhang, Y Lan… - Proceedings of the Web …, 2021 - dl.acm.org
Information retrieval (IR) has already became a ubiquitous activity in our daily life. People rely
on IR systems to obtain information … a retrieved document meets the information need of a …