24 citations · 118 across the 25 of their papers we have counts for
5 papers · 1 filter
CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering System
Yuan Yang, Jingcheng Yu, Ye Hu +2
In this paper, we present LiveMedQA, a question answering system that is optimized for consumer health question. On top of the general QA system pipeline, we introduce several new…
Steering Output Style and Topic in Neural Response Generation
Di Wang, Nebojsa Jojic, Chris Brockett +1
We propose simple and flexible training and decoding methods for influencing output style and topic in neural encoder-decoder based language generation. This capability is desirabl…
CharManteau: Character Embedding Models For Portmanteau Creation
Varun Gangal, Harsh Jhamtani, Graham Neubig +2
Portmanteaus are a word formation phenomenon where two words are combined to form a new word. We propose character-level neural sequence-to-sequence (S2S) methods for the task of p…
Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models
Harsh Jhamtani, Varun Gangal, Eduard Hovy +1
Variations in writing styles are commonly used to adapt the content to a specific context, audience, or purpose. However, applying stylistic variations is still by and large a manu…
Structural Embedding of Syntactic Trees for Machine Comprehension
Rui Liu, Junjie Hu, Wei Wei +2
Deep neural networks for machine comprehension typically utilizes only word or character embeddings without explicitly taking advantage of structured linguistic information such as…