Papers Re-Ranking
“Re-Ranking” 태그가 달린 논문 743편 · 필터 해제
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations
Vocabulary mismatch is a central problem in information retrieval (IR), i.e., the relevant documents may not contain the same (symbolic) terms of the query. Recently, neural representations have shown great success in ca…
Information RetrievalRe-RankingRetrievalImproved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models
Given a video or an image of a person acquired from a camera, person re-identification is the process of retrieving all instances of the same person from videos or images taken from a different camera with non-overlappin…
Person Re-IdentificationRe-RankingSphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification
Many current successful Person Re-Identification(ReID) methods train a model with the softmax loss function to classify images of different persons and obtain the feature vectors at the same time. However, the underlying…
Person Re-IdentificationRe-RankingStatistical Machine Transliteration Baselines for NEWS 2018
This paper reports the results of our trans-literation experiments conducted on NEWS 2018 Shared Task dataset. We focus on creating the baseline systems trained using two open-source, statistical transliteration tools, n…
Information RetrievalMachine TranslationRe-RankingTransliterationTransliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base
Humans can learn multiple languages. If they know a fact in one language, they can answer a question in another language they understand. They can also answer Code-mix (CM) questions: questions which contain both languag…
Automatic Speech Recognition (ASR)Information RetrievalLanguage IdentificationMachine Translation+9BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback
In this paper, we study the problem of safe online learning to re-rank, where user feedback is used to improve the quality of displayed lists. Learning to rank has traditionally been studied in two settings. In the offli…
Learning-To-RankRe-RankingSafe ExplorationTowards Bridging Resolution in German: Data Analysis and Rule-based Experiments
Bridging resolution is the task of recognising bridging anaphors and linking them to their antecedents. While there is some work on bridging resolution for English, there is only little work for German. We present two da…
Re-RankingDeep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval
Image retrieval based on deep convolutional features has demonstrated state-of-the-art performance in popular benchmarks. In this paper, we present a unified solution to address deep convolutional feature aggregation and…
Image RetrievalRe-RankingRetrievalDesign Identification of Curve Patterns on Cultural Heritage Objects: Combining Template Matching and CNN-based Re-Ranking
The surfaces of many cultural heritage objects were embellished with various patterns, especially curve patterns. In practice, most of the unearthed cultural heritage objects are highly fragmented, e.g., sherds of potter…
Re-RankingTemplate MatchingAuthor-topic profiles for academic search
We implemented and evaluated a two-stage retrieval method for personalized academic search in which the initial search results are re-ranked using an author-topic profile. In academic search tasks, the user's own data ca…
Re-RankingRetrievalA Study on Passage Re-ranking in Embedding based Unsupervised Semantic Search
State of the art approaches for (embedding based) unsupervised semantic search exploits either compositional similarity (of a query and a passage) or pair-wise word (or term) similarity (from the query and the passage). …
Passage Re-RankingRe-RankingSentenceSentence Embedding+1Contextualised Browsing in a Digital Library's Living Lab
Contextualisation has proven to be effective in tailoring \linebreak search results towards the users' information need. While this is true for a basic query search, the usage of contextual session information during exp…
Re-RankingRetrievalLearning Discriminative Features with Multiple Granularities for Person Re-Identification
The combination of global and partial features has been an essential solution to improve discriminative performances in person re-identification (Re-ID) tasks. Previous part-based methods mainly focus on locating regions…
Person Re-IdentificationRe-RankingA framework with updateable joint images re-ranking for Person Re-identification
Person re-identification plays an important role in realistic video surveillance with increasing demand for public safety. In this paper, we propose a novel framework with rules of updating images for person re-identific…
Person Re-IdentificationRe-RankingSeasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation
Influenza-like illness (ILI) estimation from web search data is an important web analytics task. The basic idea is to use the frequencies of queries in web search logs that are correlated with past ILI activity as featur…
Re-RankingEARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs
Many question answering systems over knowledge graphs rely on entity and relation linking components in order to connect the natural language input to the underlying knowledge graph. Traditionally, entity linking and rel…
Entity LinkingKnowledge GraphsQuestion AnsweringRelation+2An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems.
Human-computer conversation systems have attracted much attention in Natural Language Processing. Conversation systems can be roughly divided into two categories: retrieval-based and generation-based systems. Retrieval s…
Re-RankingRetrievalDeep-Person: Learning Discriminative Deep Features for Person Re-Identification
Recently, many methods of person re-identification (Re-ID) rely on part-based feature representation to learn a discriminative pedestrian descriptor. However, the spatial context between these parts is ignored for the in…
Person Re-IdentificationRe-RankingA Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking
Person re identification is a challenging retrieval task that requires matching a person's acquired image across non overlapping camera views. In this paper we propose an effective approach that incorporates both the fin…
Person Re-IdentificationRe-RankingRetrievalEvidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
A popular recent approach to answering open-domain questions is to first search for question-related passages and then apply reading comprehension models to extract answers. Existing methods usually extract answers from …
Open-Domain Question AnsweringQuestion AnsweringReading ComprehensionReranking+2