Dana Movshovitz-Attias

4 papers · 2013–2020 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze

Venues

ACL (3) NeurIPS (1)

Top co-authors

William W. Cohen (2) Sujith Ravi (2) Andrew Tomkins (1) Krishnamurthy Viswanathan (1) Alan Cowen (1) Emmanouil Platanios (1) Gaurav Nemade (1) Dorottya Demszky (1) Otilia Stretcu (1) Jeongwoo Ko (1)

Research topics

Deep Learning (2) Machine Learning (2) Core Methods (2) Artificial Intelligence (1) Natural Language Processing (1) Applications (1) Architectures (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

semi-supervised learning (1) transfer learning (1) sentiment analysis (1) text classification (1) label propagation (1) bert model (1) fine-grained classification (1) emotion detection (1) node classification (1) graph convolutional network (1) emotion classification (1) fine-grained emotion (1) text emotion recognition (1) graph neural network (1) agreement model (1)

Papers

GoEmotions: A Dataset of Fine-Grained Emotions ACL 2020 Graph Agreement Models for Semi-Supervised Learning NeurIPS 2019 KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts ACL 2015 Natural Language Models for Predicting Programming Comments ACL 2013