Lili Mou

Orcid: 0000-0001-7753-4295

According to our database1, Lili Mou authored at least 96 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks.
CoRR, 2024

Flora: Low-Rank Adapters Are Secretly Gradient Compressors.
CoRR, 2024

2023
Weakly Supervised Reasoning by Neuro-Symbolic Approaches.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Ensemble Distillation for Unsupervised Constituency Parsing.
CoRR, 2023

Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models.
CoRR, 2023

Weakly Supervised Reasoning by Neuro-Symbolic Approaches.
CoRR, 2023

Unsupervised Chunking with Hierarchical RNN.
CoRR, 2023

Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Prompt-Based Editing for Text Style Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

f-Divergence Minimization for Sequence-Level Knowledge Distillation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Search and Learning for Unsupervised Text Generation.
AI Mag., 2022

MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Teacher Forcing Recovers Reward Functions for Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Document-Level Relation Extraction with Sentences Importance Estimation and Focusing.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search.
Proceedings of the Eighteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2022

Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Search and Learn: Improving Semantic Coverage for Data-to-Text Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Generalized Equivariance and Preferential Labeling for GNN Node Classification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Simulated annealing for optimization of graphs and sequences.
Neurocomputing, 2021

Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic.
CoRR, 2021

Dynamic Labeling for Unlabeled Graph Neural Networks.
CoRR, 2021

Wasserstein Autoencoders with Mixture of Gaussian Priors for Stylized Text Generation.
Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021

Semi-Supervised and Unsupervised Sense Annotation via Translations.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Seq2Emo: A Sequence to Multi-Label Emotion Classification Model.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Simulated Annealing for Emotional Dialogue Systems.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Globally Normalized Neural Model for Semantic Parsing.
Proceedings of the 5th Workshop on Structured Prediction for NLP, 2021

2020
Finding decision jumps in text classification.
Neurocomputing, 2020

How Chaotic Are Recurrent Neural Networks?
CoRR, 2020

Unsupervised Text Generation by Learning from Search.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Progressive Memory Banks for Incremental Domain Adaptation.
Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Word Sense Disambiguation with Translations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Formality Style Transfer with Shared Latent Space.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Adversarial Learning on the Latent Space for Diverse Dialog Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Stylized Text Generation: Approaches and Applications.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2020

Unsupervised Paraphrasing by Simulated Annealing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Iterative Edit-Based Unsupervised Sentence Simplification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

TreeGen: A Tree-Based Transformer Architecture for Code Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior.
CoRR, 2019

Conditional Response Generation Using Variational Alignment.
CoRR, 2019

Distilling Task-Specific Knowledge from BERT into Simple Neural Networks.
CoRR, 2019

Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Discreteness in Neural Natural Language Processing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

An Imitation Learning Approach to Unsupervised Parsing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Disentangled Representation Learning for Non-Parallel Text Style Transfer.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Generating Sentences from Disentangled Syntactic and Semantic Spaces.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Grammar-Based Structural CNN Decoder for Code Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Tree-Based Convolutional Neural Networks - Principles and Applications
Springer Briefs in Computer Science, Springer, ISBN: 978-981-13-1869-6, 2018

Modeling Past and Future for Neural Machine Translation.
Trans. Assoc. Comput. Linguistics, 2018

Disentangled Representation Learning for Text Style Transfer.
CoRR, 2018

JUMPER: Learning When to Make Classification Decisions in Reading.
CoRR, 2018

Probabilistic Natural Language Generation with Wasserstein Autoencoders.
CoRR, 2018

Jumper: Learning When to Make Classification Decision in Reading.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Affective Neural Response Generation.
Proceedings of the Advances in Information Retrieval, 2018

Variational Attention for Sequence-to-Sequence Models.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Order-Planning Neural Text Generation From Structured Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Coupling Distributed and Symbolic Execution for Natural Language Queries.
Proceedings of the 5th International Conference on Learning Representations, 2017

Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Dialogue Session Segmentation by Embedding-Enhanced TextTiling.
Proceedings of the Interspeech 2016, 2016

StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

How Transferable are Neural Networks in NLP Applications?
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Improved relation classification by deep recurrent neural networks with data augmentation.
Proceedings of the COLING 2016, 2016

Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation.
Proceedings of the COLING 2016, 2016

Distilling Word Embeddings: An Encoding Approach.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Natural Language Inference by Tree-Based Convolution and Heuristic Matching.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Compressing Neural Language Models by Sparse Word Representations.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Convolutional Neural Networks over Tree Structures for Programming Language Processing.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path.
CoRR, 2015

Backbone Language Modeling for Constrained Natural Language Generation.
CoRR, 2015

Tree-based Convolution: A New Neural Architecture for Sentence Modeling.
CoRR, 2015

On End-to-End Program Generation from User Intention by Deep Neural Networks.
CoRR, 2015

Recognizing Entailment and Contradiction by Tree-based Convolution.
CoRR, 2015

Distilling Word Embeddings: An Encoding Approach.
CoRR, 2015

Building Program Vector Representations for Deep Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Comparative Study on Regularization Strategies for Embedding-based Neural Networks.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Discriminative Neural Sentence Modeling by Tree-Based Convolution.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Learning Non-Taxonomic Relations on Demand for Ontology Extension.
Int. J. Softw. Eng. Knowl. Eng., 2014

Building Program Vector Representations for Deep Learning.
CoRR, 2014

TBCNN: A Tree-Based Convolutional Neural Network for Programming Language Processing.
CoRR, 2014

Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery.
Proceedings of the Knowledge Science, Engineering and Management, 2014

2013
MCT: a tool for commenting programs by multimedia comments.
Proceedings of the 35th International Conference on Software Engineering, 2013

Domain Hyponymy Hierarchy Discovery by Iterative Web Searching and Inferable Semantics Based Concept Selecting.
Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

2012
Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching.
Proceedings of the 19th Asia-Pacific Software Engineering Conference, 2012


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