111 citations · 476 across the 24 of their papers we have counts for
28 papers
Neural Constituency Parsing of Speech Transcripts
Paria Jamshid Lou, Yufei Wang, Mark Johnson
This paper studies the performance of a neural self-attentive parser on transcribed speech. Speech presents parsing challenges that do not appear in written text, such as the lack…
Improving Topic Models with Latent Feature Word Representations
Dat Quoc Nguyen, Richard Billingsley, Lan Du +1
Probabilistic topic models are widely used to discover latent topics in document collections, while latent feature vector representations of words have been used to obtain high per…
Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model
Paria Jamshid Lou, Mark Johnson
This paper presents a model for disfluency detection in spontaneous speech transcripts called LSTM Noisy Channel Model. The model uses a Noisy Channel Model (NCM) to generate n-bes…
Disfluency Detection using Auto-Correlational Neural Networks
Paria Jamshid Lou, Peter Anderson, Mark Johnson
In recent years, the natural language processing community has moved away from task-specific feature engineering, i.e., researchers discovering ad-hoc feature representations for v…
Partially-Supervised Image Captioning
Peter Anderson, Stephen Gould, Mark Johnson
Image captioning models are becoming increasingly successful at describing the content of images in restricted domains. However, if these models are to function in the wild - for e…
VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
Thanh Vu, Dat Quoc Nguyen, Dai Quoc Nguyen +2
We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NLP annotation pipeline for Vietnamese. Our VnCoreNLP supports key natural language processing (NLP) tasks inc…