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07/13/2023
DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations
Applications that could benefit from automatic understanding of human-hu...
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06/15/2023
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts
This paper explores methods for extracting information from radiology re...
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06/02/2023
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Language models (LMs) often exhibit undesirable text generation behavior...
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10/06/2022
Binding Language Models in Symbolic Languages
Though end-to-end neural approaches have recently been dominating NLP ta...
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09/20/2022
Generalizing through Forgetting – Domain Generalization for Symptom Event Extraction in Clinical Notes
Symptom information is primarily documented in free-text clinical notes ...
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07/02/2022
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions
In an information-seeking conversation, a user converses with an agent t...
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05/24/2022
Unsupervised Learning of Hierarchical Conversation Structure
Human conversations can evolve in many different ways, creating challeng...
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04/03/2022
Automatic Dialect Density Estimation for African American English
In this paper, we explore automatic prediction of dialect density of the...
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03/16/2022
In-Context Learning for Few-Shot Dialogue State Tracking
Collecting and annotating task-oriented dialogues is time-consuming and ...
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09/15/2021
Dialogue State Tracking with a Language Model using Schema-Driven Prompting
Task-oriented conversational systems often use dialogue state tracking t...
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09/10/2021
DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
Identifying relevant knowledge to be used in conversational systems that...
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06/14/2021
Assessing the Use of Prosody in Constituency Parsing of Imperfect Transcripts
This work explores constituency parsing on automatically recognized tran...
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01/26/2021
Representations for Question Answering from Documents with Tables and Text
Tables in Web documents are pervasive and can be directly used to answer...
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12/02/2020
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 ...
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10/08/2020
Analysis of Disfluency in Children's Speech
Disfluencies are prevalent in spontaneous speech, as shown in many studi...
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10/08/2020
On the Role of Style in Parsing Speech with Neural Models
The differences in written text and conversational speech are substantia...
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09/19/2020
Extracting Summary Knowledge Graphs from Long Documents
Knowledge graphs capture entities and relations from long documents and ...
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05/01/2020
A Controllable Model of Grounded Response Generation
Current end-to-end neural conversation models inherently lack the flexib...
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04/11/2020
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...
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04/08/2019
Disfluencies and Human Speech Transcription Errors
This paper explores contexts associated with errors in transcrip-tion of...
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04/08/2019
Giving Attention to the Unexpected: Using Prosody Innovations in Disfluency Detection
Disfluencies in spontaneous speech are known to be associated with proso...
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04/05/2019
A General Framework for Information Extraction using Dynamic Span Graphs
We introduce a general framework for several information extraction task...
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11/17/2018
Robust cross-domain disfluency detection with pattern match networks
In this paper we introduce a novel pattern match neural network architec...
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08/29/2018
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction
We introduce a multi-task setup of identifying and classifying entities,...
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08/26/2018
Scientific Relation Extraction with Selectively Incorporated Concept Embeddings
This paper describes our submission for the SemEval 2018 Task 7 shared t...
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06/07/2018
Domain Adversarial Training for Accented Speech Recognition
In this paper, we propose a domain adversarial training (DAT) algorithm ...
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06/07/2018
Training Augmentation with Adversarial Examples for Robust Speech Recognition
This paper explores the use of adversarial examples in training speech r...
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04/26/2018
Sounding Board: A User-Centric and Content-Driven Social Chatbot
We present Sounding Board, a social chatbot that won the 2017 Amazon Ale...
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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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08/21/2017
Scientific Information Extraction with Semi-supervised Neural Tagging
This paper addresses the problem of extracting keyphrases from scientifi...
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04/24/2017
Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing
In conversational speech, the acoustic signal provides cues that help li...
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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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04/20/2017
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...
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04/07/2017
Conversation Modeling on Reddit using a Graph-Structured LSTM
This paper presents a novel approach for modeling threaded discussions o...
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09/15/2016
Characterizing the Language of Online Communities and its Relation to Community Reception
This work investigates style and topic aspects of language in online com...
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08/16/2016
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...
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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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06/12/2016
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...
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04/12/2016
Disfluency Detection using a Bidirectional LSTM
We introduce a new approach for disfluency detection using a Bidirection...
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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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03/31/2016
LSTM based Conversation Models
In this paper, we present a conversational model that incorporates both ...
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11/14/2015
Deep Reinforcement Learning with a Natural Language Action Space
This paper introduces a novel architecture for reinforcement learning wi...
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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
