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10/09/2022
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models
Data-to-text generation is challenging due to the great variety of the i...
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09/14/2021
Cross-document Event Identity via Dense Annotation
In this paper, we study the identity of textual events from different do...
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09/14/2021
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation
Natural language generation (NLG) spans a broad range of tasks, each of ...
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06/14/2021
Text Generation with Efficient (Soft) Q-Learning
Maximum likelihood estimation (MLE) is the predominant algorithm for tra...
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03/02/2021
A Data-Centric Framework for Composable NLP Workflows
Empirical natural language processing (NLP) systems in application domai...
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09/03/2018
Automatic Event Salience Identification
Identifying the salience (i.e. importance) of discourse units is an impo...
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06/13/2018
Graph-Based Decoding for Event Sequencing and Coreference Resolution
Events in text documents are interrelated in complex ways. In this paper...
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05/03/2018
Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling
This paper presents a Kernel Entity Salience Model (KESM) that improves ...
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03/21/2016
Harnessing Deep Neural Networks with Logic Rules
Combining deep neural networks with structured logic rules is desirable ...
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03/15/2016