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08/01/2023
Tackling Hallucinations in Neural Chart Summarization
Hallucinations in text generation occur when the system produces text th...
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07/01/2023
Revisiting Sample Size Determination in Natural Language Understanding
Knowing exactly how many data points need to be labeled to achieve a cer...
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06/13/2023
ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer
Large-scale language models, like ChatGPT, have garnered significant med...
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04/03/2023
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design
Disagreement in natural language annotation has mostly been studied from...
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01/20/2023
Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences
Current work on image-based story generation suffers from the fact that ...
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10/19/2022
A Data-Driven Investigation of Noise-Adaptive Utterance Generation with Linguistic Modification
In noisy environments, speech can be hard to understand for humans. Spok...
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08/14/2021
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation
We propose a shared task on training instance selection for few-shot neu...
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07/18/2021
Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors
Listening in noisy environments can be difficult even for individuals wi...
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07/07/2021
Time-Aware Ancient Chinese Text Translation and Inference
In this paper, we aim to address the challenges surrounding the translat...
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07/07/2021
On Training Instance Selection for Few-Shot Neural Text Generation
Large-scale pretrained language models have led to dramatic improvements...
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02/06/2021
Neural Data-to-Text Generation with LM-based Text Augmentation
For many new application domains for data-to-text generation, the main o...
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02/06/2021
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning
Recent advancements in data-to-text generation largely take on the form ...
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02/06/2021
Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling
Neural natural language generation (NLG) and understanding (NLU) models ...
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10/21/2020
Safe Handover in Mixed-Initiative Control for Cyber-Physical Systems
For mixed-initiative control between cyber-physical systems (CPS) and it...
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10/08/2020
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool
We present a lightweight annotation tool, the Data AnnotatoR Tool (DART)...
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03/18/2020
Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training
West African Pidgin English is a language that is significantly spoken i...
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11/05/2018
Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification
Implicit discourse relation classification is one of the most difficult ...
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08/30/2018
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification
Implicit discourse relation classification is one of the most challengin...
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02/06/2018
Improving Variational Encoder-Decoders in Dialogue Generation
Variational encoder-decoders (VEDs) have shown promising results in dial...
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04/28/2017
How consistent are our discourse annotations? Insights from mapping RST-DT and PDTB annotations
Discourse-annotated corpora are an important resource for the community....
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02/10/2017
Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction
Recent research in psycholinguistics has provided increasing evidence th...
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06/07/2016