EACL

#Survey#NLP
Issue Date: 2022-10-31 MTEB: Massive Text Embedding Benchmark, Muennighoff+, EACL23 CommentText embeddings are commonly evaluated ona small set of datasets from a single task notcovering their possible applications to othertasks. It is uncl ... #DocumentSummarization#NeuralNetwork#NLP#Abstractive
Issue Date: 2022-09-02 Long Document Summarization with Top-down and Bottom-up Inference, Pang+, Salesforce Research, EACL23 Comment日本語解説: https://zenn.dev/ty_nlp/articles/9f5e5dd3084dbd 以下、上記日本語解説記事を読んで理解した内容をまとめます。ありがとうございます。 # 概要 基本的にTransformerベースのモデル(e.g. BERTSum, BART,>The ... #NeuralNetwork#NLP#ReviewGeneration
Issue Date: 2019-03-08 Learning to Generate Product Reviews from Attributes, Dong+, EACL17 Comment(たぶん)最初のreview generation論文 ...

#DocumentSummarization#NeuralNetwork#Supervised#Pocket#NLP#Abstractive
Issue Date: 2017-12-31 Cutting-off redundant repeating generations for neural abstractive summarization, Suzuki+, EACL17 #Article#DocumentSummarization#NLP#Update
Issue Date: 2017-12-28 DualSum: a Topic-Model based approach for update summarization, Delort et al., EACL’12 Comment・大半のupdate summarizationの手法はdocument set Aがgivenのとき,document set Bのupdate summarizationをつくる際には,redundancy removalの問題として扱っている. ・この手法は,1つのsentenceの中にre ...