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05/25/2023
Diversity-Aware Coherence Loss for Improving Neural Topic Models
The standard approach for neural topic modeling uses a variational autoe...
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05/04/2023
ChatGPT-steered Editing Instructor for Customization of Abstractive Summarization
Tailoring outputs of large language models, such as ChatGPT, to specific...
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03/14/2023
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions
The Natural Language for Optimization (NL4Opt) Competition was created t...
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02/12/2023
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues
Discourse processing suffers from data sparsity, especially for dialogue...
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10/18/2022
Towards Domain-Independent Supervised Discourse Parsing Through Gradient Boosting
Discourse analysis and discourse parsing have shown great impact on many...
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10/18/2022
Unsupervised Inference of Data-Driven Discourse Structures using a Tree Auto-Encoder
With a growing need for robust and general discourse structures in many ...
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09/21/2022
Transition to Adulthood for Young People with Intellectual or Developmental Disabilities: Emotion Detection and Topic Modeling
Transition to Adulthood is an essential life stage for many families. Th...
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09/18/2022
Improving Topic Segmentation by Injecting Discourse Dependencies
Recent neural supervised topic segmentation models achieve distinguished...
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09/07/2022
Entity-based SpanCopy for Abstractive Summarization to Improve the Factual Consistency
Despite the success of recent abstractive summarizers on automatic evalu...
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08/12/2022
Automated Utterance Labeling of Conversations Using Natural Language Processing
Conversational data is essential in psychology because it can help resea...
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04/08/2022
Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models
With a growing number of BERTology work analyzing different components o...
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12/12/2021
Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation
RST-style discourse parsing plays a vital role in many NLP tasks, reveal...
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12/10/2021
Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization
The transformer multi-head self-attention mechanism has been thoroughly ...
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10/16/2021
PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
Recently proposed pre-trained generation models achieve strong performan...
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08/31/2021
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP
Transformers are the dominant architecture in NLP, but their training an...
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08/30/2021
ConVIScope: Visual Analytics for Exploring Patient Conversations
The proliferation of text messaging for mobile health is generating a la...
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06/12/2021
Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring
Dialogue topic segmentation is critical in several dialogue modeling pro...
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06/04/2021
W-RST: Towards a Weighted RST-style Discourse Framework
Aiming for a better integration of data-driven and linguistically-inspir...
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05/29/2021
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning
In news articles the lead bias is a common phenomenon that usually domin...
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04/14/2021
Predicting Discourse Trees from Transformer-based Neural Summarizers
Previous work indicates that discourse information benefits summarizatio...
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12/17/2020
Unsupervised Learning of Discourse Structures using a Tree Autoencoder
Discourse information, as postulated by popular discourse theories, such...
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12/03/2020
Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !
The multi-head self-attention of popular transformer models is widely us...
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11/30/2020
Systematically Exploring Redundancy Reduction in Summarizing Long Documents
Our analysis of large summarization datasets indicates that redundancy i...
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11/06/2020
Unleashing the Power of Neural Discourse Parsers – A Context and Structure Aware Approach Using Large Scale Pretraining
RST-based discourse parsing is an important NLP task with numerous downs...
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11/05/2020
From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation
Sentiment analysis, especially for long documents, plausibly requires me...
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11/05/2020
MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision
The lack of large and diverse discourse treebanks hinders the applicatio...
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11/04/2020
An Improved Attention for Visual Question Answering
We consider the problem of Visual Question Answering (VQA). Given an ima...
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10/07/2020
Improving Context Modeling in Neural Topic Segmentation
Topic segmentation is critical in key NLP tasks and recent works favor h...
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09/30/2020
Neural RST-based Evaluation of Discourse Coherence
This paper evaluates the utility of Rhetorical Structure Theory (RST) tr...
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07/05/2020
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes
Social media is a rich source where we can learn about people's reaction...
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10/30/2019
Predicting Discourse Structure using Distant Supervision from Sentiment
Discourse parsing could not yet take full advantage of the neural NLP re...
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09/17/2019
Extractive Summarization of Long Documents by Combining Global and Local Context
In this paper, we propose a novel neural single document extractive summ...
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09/08/2019
Evaluating Topic Quality with Posterior Variability
Probabilistic topic models such as latent Dirichlet allocation (LDA) are...
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02/04/2014
