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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 Hits 1 – 19 of 19 1 Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction ... Yarmohammadi, Mahsa; Wu, Shijie; Marone, Marc. - : arXiv, 2021 BASE Show details 2 Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling ... Mueller, Aaron; Dredze, Mark. - : arXiv, 2021 Abstract: Neural topic models can augment or replace bag-of-words inputs with the learned representations of deep pre-trained transformer-based word prediction models. One added benefit when using representations from multilingual models is that they facilitate zero-shot polylingual topic modeling. However, while it has been widely observed that pre-trained embeddings should be fine-tuned to a given task, it is not immediately clear what supervision should look like for an unsupervised task such as topic modeling. Thus, we propose several methods for fine-tuning encoders to improve both monolingual and zero-shot polylingual neural topic modeling. We consider fine-tuning on auxiliary tasks, constructing a new topic classification task, integrating the topic classification objective directly into topic model training, and continued pre-training. We find that fine-tuning encoder representations on topic classification and integrating the topic classification task directly into topic modeling improves topic quality, and ... : Accepted to NAACL 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2104.05064 https://arxiv.org/abs/2104.05064 BASE Hide details 3 Improving Zero-Shot Multi-Lingual Entity Linking ... Schumacher, Elliot; Mayfield, James; Dredze, Mark. - : arXiv, 2021 BASE Show details 4 Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Dredze, Mark; Mayfield, James. - : Underline Science Inc., 2021 BASE Show details 5 Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling ... NAACL 2021 2021; Dredze, Mark; Mueller, Aaron. - : Underline Science Inc., 2021 BASE Show details 6 Do Explicit Alignments Robustly Improve Multilingual Encoders? ... Wu, Shijie; Dredze, Mark. - : arXiv, 2020 BASE Show details 7 Sources of Transfer in Multilingual Named Entity Recognition ... Mueller, David; Andrews, Nicholas; Dredze, Mark. - : arXiv, 2020 BASE Show details 8 Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking ... Schumacher, Elliot; Mayfield, James; Dredze, Mark. - : arXiv, 2020 BASE Show details 9 Are All Languages Created Equal in Multilingual BERT? ... Wu, Shijie; Dredze, Mark. - : arXiv, 2020 BASE Show details 10 Learning unsupervised contextual representations for medical synonym discovery Schumacher, Elliot; Dredze, Mark. - : Oxford University Press, 2019 BASE Show details 11 Feature Generation for Robust Semantic Role Labeling ... Wolfe, Travis; Dredze, Mark; Van Durme, Benjamin. - : arXiv, 2017 BASE Show details 12 Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning ... Peng, Nanyun; Dredze, Mark. - : arXiv, 2016 BASE Show details 13 Embedding Lexical Features via Low-Rank Tensors ... Yu, Mo; Dredze, Mark; Arora, Raman. - : arXiv, 2016 BASE Show details 14 Improved Relation Extraction with Feature-Rich Compositional Embedding Models ... Gormley, Matthew R.; Yu, Mo; Dredze, Mark. - : arXiv, 2015 BASE Show details 15 Entity Disambiguation for Knowledge Base Population ... Dredze, Mark; McNamee, Paul; Rao, Delip. - : My University, 2010 BASE Show details 16 Annotating named entities in Twitter data with crowdsourcing ... Finin, Tim; Murnane, Will; Karandikar, Anand. - : Association for Computational Linguistics, 2010 BASE Show details 17 Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis Lerman, Kevin; Gilder, Ari; Dredze, Mark. - 2008 BASE Show details 18 Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis ... Lerman, Kevin; Gilder, Ari; Dredze, Mark. - : Columbia University, 2008 BASE Show details 19 Further Results and Analysis of Icelandic Part of Speech Tagging Dredze, Mark; Wallenberg, Joel In: Technical Reports (CIS) (2008) BASE Show details

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