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Learning Whom to Trust with MACE.

, , , and . HLT-NAACL, page 1120-1130. The Association for Computational Linguistics, (2013)

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An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization., , , , and . CoRR, (2022)Lacuna Reconstruction: Self-supervised Pre-training for Low-Resource Historical Document Transcription., , , and . CoRR, (2021)Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval., , , , and . CoRR, (2022)ClimaBench: A Benchmark Dataset For Climate Change Text Understanding in English., , , and . CoRR, (2023)Text Conditional Alt-Text Generation for Twitter Images., , , and . CoRR, (2023)Painless Unsupervised Learning with Features., , , and . HLT-NAACL, page 582-590. The Association for Computational Linguistics, (2010)UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis., , , , , and . NAACL-HLT, page 3449-3456. Association for Computational Linguistics, (2022)Jointly modeling products and resource pages for task-oriented recommendation., , , and . WWW (Companion Volume), page 432-436. ACM, (2023)Efficient Correlated Topic Modeling with Topic Embedding., , , , and . KDD, page 225-233. ACM, (2017)Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music., , , and . ISMIR, page 159-166. (2021)