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09/18/2023
Search and Learning for Unsupervised Text Generation
With the advances of deep learning techniques, text generation is attrac...
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09/10/2023
Unsupervised Chunking with Hierarchical RNN
In Natural Language Processing (NLP), predicting linguistic structures, ...
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07/27/2023
f-Divergence Minimization for Sequence-Level Knowledge Distillation
Knowledge distillation (KD) is the process of transferring knowledge fro...
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01/27/2023
Prompt-Based Editing for Text Style Transfer
Prompting approaches have been recently explored in text style transfer,...
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10/17/2022
Teacher Forcing Recovers Reward Functions for Text Generation
Reinforcement learning (RL) has been widely used in text generation to a...
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09/29/2022
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
Open-domain dialogue systems aim to interact with humans through natural...
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08/10/2022
Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search
This paper presents a new approach for controlling emotion in symbolic m...
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05/28/2022
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization
Sentence summarization aims at compressing a long sentence into a short ...
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05/28/2022
Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization
Text summarization aims to generate a short summary for an input text. I...
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04/27/2022
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing
Document-level relation extraction (DocRE) aims to determine the relatio...
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02/09/2022
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration
Most machine learning classifiers only concern classification accuracy, ...
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01/17/2022
An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets
Open-domain dialogue systems aim to converse with humans through text, a...
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12/06/2021
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
Data-to-text generation systems aim to generate text descriptions based ...
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10/14/2021
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision
How do we perform efficient inference while retaining high translation q...
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10/01/2021
Simulated annealing for optimization of graphs and sequences
Optimization of discrete structures aims at generating a new structure w...
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09/22/2021
Simulated Annealing for Emotional Dialogue Systems
Explicitly modeling emotions in dialogue generation has important applic...
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09/18/2021
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Natural language inference (NLI) aims to determine the logical relations...
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06/11/2021
Semi-Supervised and Unsupervised Sense Annotation via Translations
Acquisition of multilingual training data continues to be a challenge in...
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06/07/2021
A Globally Normalized Neural Model for Semantic Parsing
In this paper, we propose a globally normalized model for context-free g...
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02/23/2021
Dynamic Labeling for Unlabeled Graph Neural Networks
Existing graph neural networks (GNNs) largely rely on node embeddings, w...
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07/09/2020
Unsupervised Text Generation by Learning from Search
In this work, we present TGLS, a novel framework to unsupervised Text Ge...
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06/17/2020
Iterative Edit-Based Unsupervised Sentence Simplification
We present a novel iterative, edit-based approach to unsupervised senten...
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05/04/2020
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
Automatic sentence summarization produces a shorter version of a sentenc...
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04/28/2020
How Chaotic Are Recurrent Neural Networks?
Recurrent neural networks (RNNs) are non-linear dynamic systems. Previou...
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11/22/2019
TreeGen: A Tree-Based Transformer Architecture for Code Generation
A code generation system generates programming language code based on an...
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11/10/2019
Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior
Wasserstein autoencoders are effective for text generation. They do not ...
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11/10/2019
Conditional Response Generation Using Variational Alignment
Generating relevant/conditioned responses in dialog is challenging, and ...
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09/09/2019
Unsupervised Paraphrasing by Simulated Annealing
Unsupervised paraphrase generation is a promising and important research...
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07/06/2019
Generating Sentences from Disentangled Syntactic and Semantic Spaces
Variational auto-encoders (VAEs) are widely used in natural language gen...
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06/05/2019
An Imitation Learning Approach to Unsupervised Parsing
Recently, there has been an increasing interest in unsupervised parsers ...
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03/28/2019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
In the natural language processing literature, neural networks are becom...
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11/14/2018
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
In real-world applications of natural language generation, there are oft...
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11/14/2018
A Grammar-Based Structural CNN Decoder for Code Generation
Code generation maps a program description to executable source code in ...
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11/01/2018
Progressive Memory Banks for Incremental Domain Adaptation
This paper addresses the problem of incremental domain adaptation (IDA)....
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08/13/2018
Disentangled Representation Learning for Text Style Transfer
This paper tackles the problem of disentangling the latent variables of ...
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07/06/2018
JUMPER: Learning When to Make Classification Decisions in Reading
In early years, text classification is typically accomplished by feature...
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06/22/2018
Probabilistic Natural Language Generation with Wasserstein Autoencoders
Probabilistic generation of natural language sentences is an important t...
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12/21/2017
Variational Attention for Sequence-to-Sequence Models
The variational encoder-decoder (VED) encodes source information as a se...
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12/06/2017
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation
This paper addresses the question: Why do neural dialog systems generate...
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11/27/2017
Modeling Past and Future for Neural Machine Translation
Existing neural machine translation systems do not explicitly model what...
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09/12/2017
Affective Neural Response Generation
Existing neural conversational models process natural language primarily...
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09/01/2017
Order-Planning Neural Text Generation From Structured Data
Generating texts from structured data (e.g., a table) is important for v...
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08/10/2017
Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models
Neural network-based dialog systems are attracting increasing attention ...
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03/22/2017
Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection
Traditional speaker change detection in dialogues is typically based on ...
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01/11/2017
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems
Open-domain human-computer conversation has been attracting increasing a...
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12/08/2016
Coupling Distributed and Symbolic Execution for Natural Language Queries
Building neural networks to query a knowledge base (a table) with natura...
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10/13/2016
Dialogue Session Segmentation by Embedding-Enhanced TextTiling
In human-computer conversation systems, the context of a user-issued utt...
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10/13/2016
Compressing Neural Language Models by Sparse Word Representations
Neural networks are among the state-of-the-art techniques for language m...
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07/04/2016
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation
Using neural networks to generate replies in human-computer dialogue sys...
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04/15/2016
