| Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation | 0 | 0.34 | 2022 |
| Chandler: An Explainable Sarcastic Response Generator | 0 | 0.34 | 2021 |
| Towards Using Word Embedding Vector Space for Better Cohort Analysis. | 0 | 0.34 | 2020 |
| Urban Dictionary Embeddings for Slang NLP Applications. | 0 | 0.34 | 2020 |
| Embedding Structured Dictionary Entries. | 0 | 0.34 | 2020 |
| Small Town or Metropolis? Analyzing the Relationship between Population Size and Language. | 0 | 0.34 | 2020 |
| Smash at SemEval-2020 Task 7 - Optimizing the Hyperparameters of ERNIE 2.0 for Humor Ranking and Rating. | 0 | 0.34 | 2020 |
| Analyzing Temporal Relationships between Trending Terms on Twitter and Urban Dictionary Activity | 0 | 0.34 | 2020 |
| Multi-Label Transfer Learning for Multi-Relational Semantic Similarity. | 0 | 0.34 | 2019 |
| Text-Based Detection and Understanding of Changes in Mental Health. | 2 | 0.38 | 2018 |
| Building and Validating Hierarchical Lexicons with a Case Study on Personal Values. | 0 | 0.34 | 2018 |
| Entity and Event Extraction from Scratch Using Minimal Training Data. | 0 | 0.34 | 2018 |
| Sequential Network Transfer: Adapting Sentence Embeddings to Human Activities and Beyond. | 0 | 0.34 | 2018 |
| Measuring Semantic Relations between Human Activities. | 1 | 0.36 | 2017 |
| Cultural Influences on the Measurement of Personal Values through Words. | 0 | 0.34 | 2016 |
| Stateology: State-Level Interactive Charting of Language, Feelings, and Values. | 0 | 0.34 | 2016 |
| Finding Optimists And Pessimists On Twitter | 2 | 0.40 | 2016 |
| Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words. | 0 | 0.34 | 2016 |
| Cruciform: Solving Crosswords with Natural Language Processing. | 0 | 0.34 | 2016 |
| Values in Words: Using Language to Evaluate and Understand Personal Values | 7 | 0.66 | 2015 |
