| Non-Parallel Text Style Transfer with Self-Parallel Supervision | 0 | 0.34 | 2022 |
| Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks | 0 | 0.34 | 2022 |
| Linguistic Complexity Loss in Text-Based Therapy | 0 | 0.34 | 2021 |
| Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization | 0 | 0.34 | 2021 |
| Modulating Language Models with Emotions. | 0 | 0.34 | 2021 |
| Embedding Node Structural Role Identity Using Stress Majorization | 0 | 0.34 | 2021 |
| Contributions Of Transformer Attention Heads In Multi- And Cross-Lingual Tasks | 0 | 0.34 | 2021 |
| Political Depolarization of News Articles Using Attribute-aware Word Embeddings | 0 | 0.34 | 2021 |
| Mitigating Political Bias In Language Models Through Reinforced Calibration | 0 | 0.34 | 2021 |
| Embedding Heterogeneous Networks Into Hyperbolic Space Without Meta-Path | 0 | 0.34 | 2021 |
| Hyperbolic Node Embedding For Temporal Networks | 0 | 0.34 | 2021 |
| SymptomID: A Framework for Rapid Symptom Identification in Pandemics Using News Reports | 0 | 0.34 | 2021 |
| Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning | 0 | 0.34 | 2021 |
| Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification | 0 | 0.34 | 2020 |
| Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT | 0 | 0.34 | 2020 |
| An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data | 0 | 0.34 | 2020 |
| Multi-Modal Identification Of State-Sponsored Propaganda On Social Media | 0 | 0.34 | 2020 |
| Embedding Node Structural Role Identity into Hyperbolic Space | 1 | 0.34 | 2020 |
| Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation. | 0 | 0.34 | 2020 |
| TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter. | 0 | 0.34 | 2017 |
| Mapping Twitter Conversation Landscapes. | 0 | 0.34 | 2017 |
| Twitter Demographic Classification Using Deep Multi-Modal Multi-Task Learning | 3 | 0.40 | 2017 |
| Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. | 28 | 1.16 | 2016 |
| DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs. | 9 | 0.59 | 2016 |
| Enhanced Twitter Sentiment Classification Using Contextual Information | 9 | 0.52 | 2016 |
