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Neural Networks for Joint Sentence Classification in Medical Paper Abstracts
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Graphie: A graph-based framework for information extraction
Published 2021“…© 2019 Association for Computational Linguistics Most modern Information Extraction (IE) systems are implemented as sequential taggers and only model local dependencies. …”
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Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
Published 2022“…© 2019 Association for Computational Linguistics State-of-the-art LSTM language models trained on large corpora learn sequential contingencies in impressive detail and have been shown to acquire a number of non-local grammatical dependencies with some success. …”
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Inferring Which Medical Treatments Work from Reports of Clinical Trials
Published 2022“…© 2019 Association for Computational Linguistics How do we know if a particular medical treatment actually works? …”
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Predicting Native Language from Gaze
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A Systematic Assessment of Syntactic Generalization in Neural Language Models
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Global models of document structure using latent permutations
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Modeling the Paraphrase Detection Task over a Heterogeneous Graph Network with Data Augmentation
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Zero-shot text classification via self-supervised tuning
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Semi-Automatic Construction of a Readability Corpus for the Vietnamese Language
Published 2022-11-01“…While text readability has been a focus in research on computational linguistics for English and other resource-rich languages, there is still little work on this subject in understudied languages like Vietnamese. …”
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Multi-Source Domain Adaptation with Mixture of Experts
Published 2021“…© 2018 Association for Computational Linguistics We propose a mixture-of-experts approach for unsupervised domain adaptation from multiple sources. …”
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High-order low-rank tensors for semantic role labeling
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Learning Personas from Dialogue with Attentive Memory Networks
Published 2021“…© 2018 Association for Computational Linguistics The ability to infer persona from dialogue can have applications in areas ranging from computational narrative analysis to personalized dialogue generation. …”
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