182 citations · 233 across the 36 of their papers we have counts for
8 papers · 2 filters
My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism
Swapnil Parekh, Yaman Kumar Singla, Changyou Chen +2
Significant progress has been made in deep-learning based Automatic Essay Scoring (AES) systems in the past two decades. However, little research has been put to understand and int…
Help! Need Advice on Identifying Advice
Venkata Subrahmanyan Govindarajan, Benjamin T Chen, Rebecca Warholic +2
Humans use language to accomplish a wide variety of tasks - asking for and giving advice being one of them. In online advice forums, advice is mixed in with non-advice, like emotio…
Inquisitive Question Generation for High Level Text Comprehension
Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang +2
Inquisitive probing questions come naturally to humans in a variety of settings, but is a challenging task for automatic systems. One natural type of question to ask tries to fill…
Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification
Neha Srikanth, Junyi Jessy Li
Much of modern-day text simplification research focuses on sentence-level simplification, transforming original, more complex sentences into simplified versions. However, adding co…
Detecting Perceived Emotions in Hurricane Disasters
Shrey Desai, Cornelia Caragea, Junyi Jessy Li
Natural disasters (e.g., hurricanes) affect millions of people each year, causing widespread destruction in their wake. People have recently taken to social media websites (e.g., T…
Learning to Update Natural Language Comments Based on Code Changes
Sheena Panthaplackel, Pengyu Nie, Milos Gligoric +2
We formulate the novel task of automatically updating an existing natural language comment based on changes in the body of code it accompanies. We propose an approach that learns t…
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification
Hsin-Ping Huang, Junyi Jessy Li
Implicit discourse relations are not only more challenging to classify, but also to annotate, than their explicit counterparts. We tackle situations where training data for implici…
Assessing Discourse Relations in Language Generation from GPT-2
Wei-Jen Ko, Junyi Jessy Li
Recent advances in NLP have been attributed to the emergence of large-scale pre-trained language models. GPT-2, in particular, is suited for generation tasks given its left-to-righ…