Patrick Huber | DeepAI

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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...

0 Chuyuan Li, et al. ∙

∙ 10/18/2022

Towards Domain-Independent Supervised Discourse Parsing Through Gradient Boosting

Discourse analysis and discourse parsing have shown great impact on many...

0 Patrick Huber, et al. ∙

∙ 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 ...

0 Patrick Huber, et al. ∙

∙ 09/18/2022

Improving Topic Segmentation by Injecting Discourse Dependencies

Recent neural supervised topic segmentation models achieve distinguished...

0 Linzi Xing, et al. ∙

∙ 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...

0 Patrick Huber, et al. ∙

∙ 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...

0 Patrick Huber, et al. ∙

∙ 10/14/2021

CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training

With the rise of large-scale pre-trained language models, open-domain qu...

0 Patrick Huber, et al. ∙

∙ 06/04/2021

W-RST: Towards a Weighted RST-style Discourse Framework

Aiming for a better integration of data-driven and linguistically-inspir...

0 Patrick Huber, et al. ∙

∙ 04/14/2021

Predicting Discourse Trees from Transformer-based Neural Summarizers

Previous work indicates that discourse information benefits summarizatio...

0 Wen Xiao, et al. ∙

∙ 12/17/2020

Unsupervised Learning of Discourse Structures using a Tree Autoencoder

Discourse information, as postulated by popular discourse theories, such...

0 Patrick Huber, et al. ∙

∙ 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...

0 Wen Xiao, et al. ∙

∙ 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...

0 Grigorii Guz, et al. ∙

∙ 11/05/2020

From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation

Sentiment analysis, especially for long documents, plausibly requires me...

0 Patrick Huber, et al. ∙

∙ 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...

0 Patrick Huber, et al. ∙

∙ 10/30/2019

Predicting Discourse Structure using Distant Supervision from Sentiment

Discourse parsing could not yet take full advantage of the neural NLP re...

0 Patrick Huber, et al. ∙

∙ 07/27/2018

A Hierarchical Approach to Neural Context-Aware Modeling

We present a new recurrent neural network topology to enhance state-of-t...

0 Patrick Huber, et al. ∙

∙ 03/23/2018

Automated Evaluation of Out-of-Context Errors

We present a new approach to evaluate computational models for the task ...

0 Patrick Huber, et al. ∙

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