Mari Ostendorf

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University of Washington

Professor at University of Washington

Extracting COVID-19 Diagnoses and Symptoms From Clinical Text: A New Annotated Corpus and Neural Event Extraction Framework

Coronavirus disease 2019 (COVID-19) is a global pandemic. Although much ...
12/02/2020 ∙ by Kevin Lybarger, et al. ∙ 0 ∙ share

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Analysis of Disfluency in Children's Speech

Disfluencies are prevalent in spontaneous speech, as shown in many studi...
10/08/2020 ∙ by Trang Tran, et al. ∙ 0 ∙ share

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On the Role of Style in Parsing Speech with Neural Models

The differences in written text and conversational speech are substantia...
10/08/2020 ∙ by Trang Tran, et al. ∙ 0 ∙ share

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Extracting Summary Knowledge Graphs from Long Documents

Knowledge graphs capture entities and relations from long documents and ...
09/19/2020 ∙ by Zeqiu Wu, et al. ∙ 0 ∙ share

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A Controllable Model of Grounded Response Generation

Current end-to-end neural conversation models inherently lack the flexib...
05/01/2020 ∙ by Zeqiu Wu, et al. ∙ 0 ∙ share

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Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction

Social determinants of health (SDOH) affect health outcomes, and knowled...
04/11/2020 ∙ by Kevin Lybarger, et al. ∙ 0 ∙ share

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Disfluencies and Human Speech Transcription Errors

This paper explores contexts associated with errors in transcrip-tion of...
04/08/2019 ∙ by Vicky Zayats, et al. ∙ 0 ∙ share

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Giving Attention to the Unexpected: Using Prosody Innovations in Disfluency Detection

Disfluencies in spontaneous speech are known to be associated with proso...
04/08/2019 ∙ by Vicky Zayats, et al. ∙ 0 ∙ share

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A General Framework for Information Extraction using Dynamic Span Graphs

We introduce a general framework for several information extraction task...
04/05/2019 ∙ by Yi Luan, et al. ∙ 0 ∙ share

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Robust cross-domain disfluency detection with pattern match networks

In this paper we introduce a novel pattern match neural network architec...
11/17/2018 ∙ by Vicky Zayats, et al. ∙ 0 ∙ share

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Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

We introduce a multi-task setup of identifying and classifying entities,...
08/29/2018 ∙ by Yi Luan, et al. ∙ 0 ∙ share

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Scientific Relation Extraction with Selectively Incorporated Concept Embeddings

This paper describes our submission for the SemEval 2018 Task 7 shared t...
08/26/2018 ∙ by Yi Luan, et al. ∙ 0 ∙ share

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Domain Adversarial Training for Accented Speech Recognition

In this paper, we propose a domain adversarial training (DAT) algorithm ...
06/07/2018 ∙ by Sining Sun, et al. ∙ 0 ∙ share

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Training Augmentation with Adversarial Examples for Robust Speech Recognition

This paper explores the use of adversarial examples in training speech r...
06/07/2018 ∙ by Sining Sun, et al. ∙ 0 ∙ share

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Sounding Board: A User-Centric and Content-Driven Social Chatbot

We present Sounding Board, a social chatbot that won the 2017 Amazon Ale...
04/26/2018 ∙ by Hao Fang, et al. ∙ 0 ∙ share

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Personalized Language Model for Query Auto-Completion

Query auto-completion is a search engine feature whereby the system sugg...
04/25/2018 ∙ by Aaron Jaech, et al. ∙ 0 ∙ share

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Community Member Retrieval on Social Media using Textual Information

This paper addresses the problem of community membership detection using...
04/16/2018 ∙ by Aaron Jaech, et al. ∙ 0 ∙ share

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Real-Time Prediction of the Duration of Distribution System Outages

This paper addresses the problem of predicting duration of unplanned pow...
04/03/2018 ∙ by Aaron Jaech, et al. ∙ 0 ∙ share

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Low-Rank RNN Adaptation for Context-Aware Language Modeling

A context-aware language model uses location, user and/or domain metadat...
10/06/2017 ∙ by Aaron Jaech, et al. ∙ 0 ∙ share

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Scientific Information Extraction with Semi-supervised Neural Tagging

This paper addresses the problem of extracting keyphrases from scientifi...
08/21/2017 ∙ by Yi Luan, et al. ∙ 0 ∙ share

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Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing

In conversational speech, the acoustic signal provides cues that help li...
04/24/2017 ∙ by Trang Tran, et al. ∙ 0 ∙ share

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Improving Context Aware Language Models

Increased adaptability of RNN language models leads to improved predicti...
04/21/2017 ∙ by Aaron Jaech, et al. ∙ 0 ∙ share

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Reinforcement Learning with External Knowledge and Two-Stage Q-functions for Predicting Popular Reddit Threads

This paper addresses the problem of predicting popularity of comments in...
04/20/2017 ∙ by Ji He, et al. ∙ 0 ∙ share

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Conversation Modeling on Reddit using a Graph-Structured LSTM

This paper presents a novel approach for modeling threaded discussions o...
04/07/2017 ∙ by Vicky Zayats, et al. ∙ 0 ∙ share

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Characterizing the Language of Online Communities and its Relation to Community Reception

This work investigates style and topic aspects of language in online com...
09/15/2016 ∙ by Trang Tran, et al. ∙ 0 ∙ share

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Learning Latent Local Conversation Modes for Predicting Community Endorsement in Online Discussions

Many social media platforms offer a mechanism for readers to react to co...
08/16/2016 ∙ by Hao Fang, et al. ∙ 0 ∙ share

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Hierarchical Character-Word Models for Language Identification

Social media messages' brevity and unconventional spelling pose a challe...
08/10/2016 ∙ by Aaron Jaech, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads

We introduce an online popularity prediction and tracking task as a benc...
06/12/2016 ∙ by Ji He, et al. ∙ 0 ∙ share

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Disfluency Detection using a Bidirectional LSTM

We introduce a new approach for disfluency detection using a Bidirection...
04/12/2016 ∙ by Vicky Zayats, et al. ∙ 0 ∙ share

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Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding

The goal of this paper is to use multi-task learning to efficiently scal...
04/01/2016 ∙ by Aaron Jaech, et al. ∙ 0 ∙ share

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LSTM based Conversation Models

In this paper, we present a conversational model that incorporates both ...
03/31/2016 ∙ by Yi Luan, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning with a Natural Language Action Space

This paper introduces a novel architecture for reinforcement learning wi...
11/14/2015 ∙ by Ji He, et al. ∙ 0 ∙ share

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Talking to the crowd: What do people react to in online discussions?

This paper addresses the question of how language use affects community ...
07/08/2015 ∙ by Aaron Jaech, et al. ∙ 0 ∙ share

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What Your Username Says About You

Usernames are ubiquitous on the Internet, and they are often suggestive ...
07/08/2015 ∙ by Aaron Jaech, et al. ∙ 0 ∙ share

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Leveraging Twitter for Low-Resource Conversational Speech Language Modeling

In applications involving conversational speech, data sparsity is a limi...
04/09/2015 ∙ by Aaron Jaech, et al. ∙ 0 ∙ share

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Mari Ostendorf

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