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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...22 Hits 1 – 20 of 437 1 Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive Approach Using Transformers ... Vitiugin, Fedor; Castillo, Carlos. - : arXiv, 2022 BASE Show details 2 Simplifying Multilingual News Clustering Through Projection From a Shared Space ... Santos, João; Mendes, Afonso; Miranda, Sebastião. - : arXiv, 2022 BASE Show details 3 Towards Best Practices for Training Multilingual Dense Retrieval Models ... Zhang, Xinyu; Ogueji, Kelechi; Ma, Xueguang. - : arXiv, 2022 BASE Show details 4 Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains ... Albalak, Alon; Levy, Sharon; Wang, William Yang. - : arXiv, 2022 BASE Show details 5 C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval ... Yang, Eugene; Nair, Suraj; Chandradevan, Ramraj. - : arXiv, 2022 BASE Show details 6 Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval ... Litschko, Robert; Vulić, Ivan; Glavaš, Goran. - : arXiv, 2022 BASE Show details 7 QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers ... Perevalov, Aleksandr; Diefenbach, Dennis; Usbeck, Ricardo. - : arXiv, 2022 BASE Show details 8 MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset ... Nielsen, Dan Saattrup; McConville, Ryan. - : arXiv, 2022 BASE Show details 9 From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction ... Vacareanu, Robert; Valenzuela-Escarcega, Marco A.; Barbosa, George C. G.. - : arXiv, 2022 BASE Show details 10 Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations ... Meng, Yu; Zhang, Yunyi; Huang, Jiaxin. - : arXiv, 2022 BASE Show details 11 Offensive Language Detection in Under-resourced Algerian Dialectal Arabic Language ... Boucherit, Oussama; Abainia, Kheireddine. - : arXiv, 2022 BASE Show details 12 Shedding New Light on the Language of the Dark Web ... Jin, Youngjin; Jang, Eugene; Lee, Yongjae. - : arXiv, 2022 BASE Show details 13 LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback ... Zhu, Yunchang; Pang, Liang; Lan, Yanyan. - : arXiv, 2022 BASE Show details 14 Improving Word Translation via Two-Stage Contrastive Learning ... Li, Yaoyiran; Liu, Fangyu; Collier, Nigel. - : arXiv, 2022 BASE Show details 15 nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models ... Nigam, Shubham Kumar; Goel, Navansh. - : arXiv, 2022 BASE Show details 16 Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction ... Hofstätter, Sebastian; Khattab, Omar; Althammer, Sophia. - : arXiv, 2022 BASE Show details 17 Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models ... Nair, Suraj; Yang, Eugene; Lawrie, Dawn. - : arXiv, 2022 BASE Show details 18 TURNER: The Uncertainty-based Retrieval Framework for Chinese NER ... Geng, Zhichao; Yan, Hang; Yin, Zhangyue. - : arXiv, 2022 BASE Show details 19 LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval ... Xu, Canwen; Guo, Daya; Duan, Nan. - : arXiv, 2022 BASE Show details 20 Machine Learning for Food Review and Recommendation ... Le, Tan Khang; Hui, Siu Cheung. - : arXiv, 2022 Abstract: Food reviews and recommendations have always been important for online food service websites. However, reviewing and recommending food is not simple as it is likely to be overwhelmed by disparate contexts and meanings. In this paper, we use different deep learning approaches to address the problems of sentiment analysis, automatic review tag generation, and retrieval of food reviews. We propose to develop a web-based food review system at Nanyang Technological University (NTU) named NTU Food Hunter, which incorporates different deep learning approaches that help users with food selection. First, we implement the BERT and LSTM deep learning models into the system for sentiment analysis of food reviews. Then, we develop a Part-of-Speech (POS) algorithm to automatically identify and extract adjective-noun pairs from the review content for review tag generation based on POS tagging and dependency parsing. Finally, we also train a RankNet model for the re-ranking of the retrieval results to improve the accuracy ... : Accepted paper to International Student Conference on Artificial Intelligence (STCAI) 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.2201.10978 https://arxiv.org/abs/2201.10978 BASE Hide details Page: 1 2 3 4 5...22

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