20 citations · 39 across the 4 of their papers we have counts for
4 papers
Neural Particle Smoothing for Sampling from Conditional Sequence Models
Chu-Cheng Lin, Jason Eisner
We introduce neural particle smoothing, a sequential Monte Carlo method for sampling annotations of an input string from a given probability model. In contrast to conventional part…
Actionable Email Intent Modeling with Reparametrized RNNs
Chu-Cheng Lin, Dongyeop Kang, Michael Gamon +3
Emails in the workplace are often intentional calls to action for its recipients. We propose to annotate these emails for what action its recipient will take. We argue that our app…
Unsupervised POS Induction with Word Embeddings
Chu-Cheng Lin, Waleed Ammar, Chris Dyer +1
Unsupervised word embeddings have been shown to be valuable as features in supervised learning problems; however, their role in unsupervised problems has been less thoroughly explo…
Recurrent-Neural-Network for Language Detection on Twitter Code-Switching Corpus
Joseph Chee Chang, Chu-Cheng Lin
Mixed language data is one of the difficult yet less explored domains of natural language processing. Most research in fields like machine translation or sentiment analysis assume…