1 citations · 1 across the 1 of their papers we have counts for
5 papers
Learning Rhyming Constraints using Structured Adversaries
Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell +1
Existing recurrent neural language models often fail to capture higher-level structure present in text: for example, rhyming patterns present in poetry. Much prior work on poetry g…
SPINE: SParse Interpretable Neural Embeddings
Anant Subramanian, Danish Pruthi, Harsh Jhamtani +2
Prediction without justification has limited utility. Much of the success of neural models can be attributed to their ability to learn rich, dense and expressive representations. W…
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…
Generating Appealing Brand Names
Gaurush Hiranandani, Pranav Maneriker, Harsh Jhamtani
Providing appealing brand names to newly launched products, newly formed companies or for renaming existing companies is highly important as it can play a crucial role in deciding…