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05/15/2023
Natural Language Decomposition and Interpretation of Complex Utterances
Natural language interfaces often require supervised data to translate u...
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12/20/2022
Ontologically Faithful Generation of Non-Player Character Dialogues
We introduce a language generation task grounded in a popular video game...
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09/16/2022
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
In a real-world dialogue system, generated responses must satisfy severa...
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05/19/2022
Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation
Target-guided response generation enables dialogue systems to smoothly t...
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03/22/2022
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection
A limitation of current neural dialog models is that they tend to suffer...
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10/05/2021
Truth-Conditional Captioning of Time Series Data
In this paper, we explore the task of automatically generating natural l...
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06/15/2021
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories
Humans often refer to personal narratives, life experiences, and events ...
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02/02/2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NL...
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10/07/2020
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering
Despite the rapid progress in multihop question-answering (QA), models s...
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10/07/2020
Narrative Text Generation with a Latent Discrete Plan
Past work on story generation has demonstrated the usefulness of conditi...
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10/07/2020
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions
Existing persona-grounded dialog models often fail to capture simple imp...
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09/15/2019
Learning Rhyming Constraints using Structured Adversaries
Existing recurrent neural language models often fail to capture higher-l...
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08/31/2018
Learning to Describe Differences Between Pairs of Similar Images
In this paper, we introduce the task of automatically generating text to...
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11/23/2017
SPINE: SParse Interpretable Neural Embeddings
Prediction without justification has limited utility. Much of the succes...
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07/04/2017
CharManteau: Character Embedding Models For Portmanteau Creation
Portmanteaus are a word formation phenomenon where two words are combine...
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07/04/2017
Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models
Variations in writing styles are commonly used to adapt the content to a...
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06/28/2017