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10/16/2021
Sparse Distillation: Speeding Up Text Classification by Using Bigger Models
Distilling state-of-the-art transformer models into lightweight student ...
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10/22/2020
Autoregressive Modeling is Misspecified for Some Sequence Distributions
Should sequences be modeled autoregressively—one symbol at a time? How m...
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04/25/2018
Personalized Language Model for Query Auto-Completion
Query auto-completion is a search engine feature whereby the system sugg...
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04/16/2018
Community Member Retrieval on Social Media using Textual Information
This paper addresses the problem of community membership detection using...
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04/03/2018
Real-Time Prediction of the Duration of Distribution System Outages
This paper addresses the problem of predicting duration of unplanned pow...
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10/06/2017
Low-Rank RNN Adaptation for Context-Aware Language Modeling
A context-aware language model uses location, user and/or domain metadat...
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04/21/2017
Improving Context Aware Language Models
Increased adaptability of RNN language models leads to improved predicti...
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01/26/2017
Match-Tensor: a Deep Relevance Model for Search
The application of Deep Neural Networks for ranking in search engines ma...
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08/10/2016
Hierarchical Character-Word Models for Language Identification
Social media messages' brevity and unconventional spelling pose a challe...
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04/01/2016
Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding
The goal of this paper is to use multi-task learning to efficiently scal...
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07/08/2015
Talking to the crowd: What do people react to in online discussions?
This paper addresses the question of how language use affects community ...
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07/08/2015
What Your Username Says About You
Usernames are ubiquitous on the Internet, and they are often suggestive ...
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04/09/2015
