{"doi":"10.3115/v1/d14-1181","title":"Convolutional Neural Networks for Sentence Classification","abstract":"We report on a series of experiments with convolutional neural networks (CNN) trained on top of pre-trained word vectors for sentence-level classification tasks.We show that a simple CNN with little hyperparameter tuning and static vectors achieves excellent results on multiple benchmarks.Learning task-specific vectors through fine-tuning offers further gains in performance.We additionally propose a simple modification to the architecture to allow for the use of both task-specific and static vectors.The CNN models discussed herein improve upon the state of the art on 4 out of 7 tasks, which include sentiment analysis and question classification.","journal":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","year":2014,"id":10147,"datarank":24.279042389541715,"base_score":9.5227394469648,"endowment":9.5227394469648,"self_citation_contribution":1.4284109170447203,"citation_network_contribution":22.850631472496996,"self_endowment_contribution":1.4284109170447203,"citer_contribution":22.850631472496996,"corpus_percentile":97.1,"corpus_rank":1023,"citation_count":13666,"citer_count":199,"citers_with_citation_signal":199,"citers_with_endowment":199,"datacite_reuse_total":0,"is_dataset":false,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2014-01-01","authors":[{"id":85925,"name":"Yoon Kim","orcid":"0000-0002-4837-8411","position":0,"is_corresponding":true}],"reference_count":35,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}