Papers News Retrieval
“News Retrieval” 태그가 달린 논문 11편 · 필터 해제
Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization
In the fast-changing realm of information, the capacity to construct coherent timelines from extensive event-related content has become increasingly significant and challenging. The complexity arises in aggregating relat…
News RetrievalRetrievalTimeline SummarizationNews Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation
Rapidly growing numbers of multilingual news consumers pose an increasing challenge to news recommender systems in terms of providing customized recommendations. First, existing neural news recommenders, even when powere…
Cross-Lingual TransferDomain AdaptationMultilingual NLPNews Recommendation+8News Popularity Beyond the Click-Through-Rate for Personalized Recommendations
Popularity detection of news articles is critical for making relevant recommendations for users and drive user engagement for maximum business value. Among several well-known metrics such as likes, shares, comments, Clic…
ArticlesClick-Through Rate PredictionNews RecommendationNews Retrieval+2MM-Locate-News: Multimodal Focus Location Estimation in News
The consumption of news has changed significantly as the Web has become the most influential medium for information. To analyze and contextualize the large amount of news published every day, the geographic focus of an a…
News RetrievalRetrievalNo Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval
Recent work has shown that small distilled language models are strong competitors to models that are orders of magnitude larger and slower in a wide range of information retrieval tasks. This has made distilled and dense…
Argument RetrievalBiomedical Information RetrievalCitation PredictionDuplicate-Question Retrieval+7SGPT: GPT Sentence Embeddings for Semantic Search
Decoder transformers have continued increasing in scale reaching hundreds of billions of parameters. Due to their scale the same decoder sets state-of-the-art results on various language tasks via prompting or fine-tunin…
Argument RetrievalBiomedical Information RetrievalCitation PredictionDecoder+11BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Existing neural information retrieval (IR) models have often been studied in homogeneous and narrow settings, which has considerably limited insights into their out-of-distribution (OOD) generalization capabilities. To a…
Argument RetrievalBenchmarkingBiomedical Information RetrievalCitation Prediction+11A Feature Analysis for Multimodal News Retrieval
Content-based information retrieval is based on the information contained in documents rather than using metadata such as keywords. Most information retrieval methods are either based on text or image. In this paper, we …
Information RetrievalNews RetrievalRetrievalWord EmbeddingsAn approach based on Combination of Features for automatic news retrieval
Nowadays, according to the increasingly increasing information, the importance of its presentation is also increasing. The internet has become one of the main sources of information for users and their favorite topics. I…
Information RetrievalNews RetrievalRetrievalText CategorizationCSRN: Collaborative Sequential Recommendation Networks for News Retrieval
Nowadays, news apps have taken over the popularity of paper-based media, providing a great opportunity for personalization. Recurrent Neural Network (RNN)-based sequential recommendation is a popular approach that utiliz…
ArticlesCollaborative FilteringNews RetrievalRetrieval+1Online News Media Website Ranking Using User Generated Content
News media websites are important online resources that have drawn great attention of text mining researchers. The main aim of this study is to propose a framework for ranking online news websites from different viewpoin…
DiversityNews RecommendationNews RetrievalRetrieval