Results 21 to 30 of about 3,068 (277)
Belief Revision based Caption Re-ranker with Visual Semantic Information [PDF]
, 2022 In this work, we focus on improving the captions generated by image-caption generation systems. We propose a novel re-ranking approach that leverages visual-semantic measures to identify the ideal caption that maximally captures the visual information in
Sabir, A. +3 more
core +5 more sources
Marine Drugs, 2023 Bioactive peptides range in size from 2–30 amino acids and may be derived from any protein-containing biomass using hydrolysis, fermentation or high-pressure processing.
Diane Purcell +2 more
doaj +1 more source
A Discriminative Semantic Ranker for Question Retrieval [PDF]
Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval, 2021 Similar question retrieval is a core task in community-based question answering (CQA) services. To balance the effectiveness and efficiency, the question retrieval system is typically implemented as multi-stage rankers: The first-stage ranker aims to recall potentially relevant questions from a large repository, and the latter stages attempt to re-rank
Yinqiong Cai +5 more
openaire +2 more sources
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, 2010 Combining evidence from multiple retrieval models has been widely studied in the context of of distributed search, metasearch and rank fusion. Much of the prior work has focused on combining retrieval scores (or the rankings) assigned by different retrieval models or ranking algorithms.
Niranjan Balasubramanian +1 more
openaire +3 more sources
Propose Data Mining System to Advance E-Learning Over Online Social Network (Facebook) [PDF]
Engineering and Technology Journal, 2015 This research presents a proposal to advance e-learning over online social network, facebook, through analyzing the structure of this network and the behavior of their users.
Soukaena Hassan Hashem +1 more
doaj +1 more source
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation [PDF]
, 2022 A large-scale recommender system usually consists of recall and ranking modules. The goal of ranking modules (aka rankers) is to elaborately discriminate users' preference on item candidates proposed by recall modules.
Lian, Jianxun +5 more
core +1 more source
New directions for digital video creation in the classroom :\ud spatiality, embodiment, and creativity [PDF]
, 2014 This column features a conversation (via email, image sharing, and Facetime) that took place over several months between two international theorists of digital filmmaking from schools in two countries—Professors Jason Ranker (Portland State University ...
Jason Ranker +3 more
core +1 more source
ExaRanker: Explanation-Augmented Neural Ranker
CoRR, 2023 Recent work has shown that inducing a large language model (LLM) to generate explanations prior to outputting an answer is an effective strategy to improve performance on a wide range of reasoning tasks. In this work, we show that neural rankers also benefit from explanations.
Fernando Ferraretto +3 more
openaire +2 more sources
Understanding BERT Rankers Under Distillation [PDF]
Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval, 2020 Deep language models such as BERT pre-trained on large corpus have given a huge performance boost to the state-of-the-art information retrieval ranking systems. Knowledge embedded in such models allows them to pick up complex matching signals between passages and queries.
Luyu Gao, Zhuyun Dai, Jamie Callan
openaire +4 more sources
npj Digital Medicine, 2021 The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2-related publications across scientific disciplines.
Andre Esteva +6 more
doaj +1 more source