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11/27/2021
An analysis of document graph construction methods for AMR summarization
Meaning Representation (AMR) is a graph-based semantic representation fo...
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10/22/2021
Lightweight Decoding Strategies for Increasing Specificity
Language models are known to produce vague and generic outputs. We propo...
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04/16/2021
Segmenting Subtitles for Correcting ASR Segmentation Errors
Typical ASR systems segment the input audio into utterances using purely...
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10/19/2020
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines
In this work, we focus on improving ASR output segmentation in the conte...
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10/19/2020
Incorporating Terminology Constraints in Automatic Post-Editing
Users of machine translation (MT) may want to ensure the use of specific...
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11/08/2019
Low-Level Linguistic Controls for Style Transfer and Content Preservation
Despite the success of style transfer in image processing, it has seen l...
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11/08/2019
A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models
Deep neural networks (DNN) are quickly becoming the de facto standard mo...
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10/29/2018
Content Selection in Deep Learning Models of Summarization
We carry out experiments with deep learning models of summarization acro...
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09/10/2018
Detecting Gang-Involved Escalation on Social Media Using Context
Gang-involved youth in cities such as Chicago have increasingly turned t...
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07/23/2018
Multimodal Social Media Analysis for Gang Violence Prevention
Gang violence is a severe issue in major cities across the U.S. and rece...
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05/12/2016
