Non-Autoregressive Decoding Slides
- A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation Wenqing Chen, Jidong Tian, Liqiang Xiao, Hao He, Yaohui Jin
COLING20[pdf]
| Paper | Conference |
|---|---|
| Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs | |
| Text Generation from Knowledge Graphs with Graph Transformers | NAACL19 |
| The WebNLG Challenge: Generating Text from RDF Data | INLG17 |
| Paper | Conference |
|---|---|
| Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering | AAAI20 |
| A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation | TACL19 |
| Story Ending Generation with Incremental Encoding and Commonsense Knowledge | AAAI19 |
| Commonsense Knowledge Aware Conversation Generation with Graph Attention | IJCAI 2018 |
| Paper | Conference | Highlights |
|---|---|---|
| Enhancing Dialog Coherence with Event Graph Grounded Content Planning | IJCAI20 | event graph + reinforcement learning |
| Open Domain Event Text Generation | AAAI20 |
| Paper | Conference |
|---|---|
| Talk to Papers: Bringing Neural Question Answering to Academic Search | ACL2020 |
| QURIOUS: Question Generation Pretraining for Text Generation | ACL20 |
| Syn-QG Syntactic and Shallow Semantic Rules for Question Generation | ACL20 |
| Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation | ICLR20 |
| Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling | ACL19 |
| Let’s Ask Again: Refine Network for Automatic Question Generation | EMNLP19 |
| Reinforced Dynamic Reasoning for Conversational Question Generation | ACL19 |
| Mixture Content Selection for Diverse Sequence Generation | EMNLP19 |
| Reinforced Dynamic Reasoning for Conversational Question Generation | ACL19 |
- Directed Acyclic Transformer for Non-Autoregressive Machine Translation Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang
ICML 2022[pdf] - A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-yan Liu [pdf]
- switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder Zhenqiao Song, Hao Zhou, Lihua Qian, Jingjing Xu, Shanbo Cheng, Mingxuan Wang, Lei Li
ICLR 2022[pdf] - Glancing Transformer for Non-Autoregressive Neural Machine Translation Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li
ACL 2021[pdf] [code1] [code2] - Non-Autoregressive Text Generation with Pre-trained Language Models Yixuan Su, Deng Cai, Yan Wang, David Vandyke, Simon Baker, Piji Li, Nigel Collier
EACL21[pdf] [code] - Incorporating a Local Translation Mechanism into Non-autoregressive Translation Xiang Kong, Zhisong Zhang, Eduard Hovy
EMNLP20[pdf] [code]
| Paper | Conference |
|---|---|
| Lexically Constrained Neural Machine Translation with Levenshtein Transformer | ACL20 short |
| Mask-Predict: Parallel Decoding of Conditional Masked Language Models | EMNLP19 |
| Levenshtein Transformer | |
| Insertion-based Decoding with automatically Inferred Generation Order | |
| KERMIT: Generative Insertion-Based Modeling for Sequences | |
| Non-Monotonic Sequential Text Generation | ICML19 |
| Insertion Transformer: Flexible Sequence Generation via Insertion Operations | ICML19 |
| Sequence Generation: From Both Sides to the Middle | IJCAI19 |
| Correct-and-Memorize:Learning to Translate from Interactive Revisions | IJCAI19 |
| Non-Autoregressive Neural Machine Translation | ICLR18 |
| The Importance of Generation Order in Language Modeling | EMNLP18 |
| Paper | Conference |
|---|---|
| MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models | NIPS18 |
| Paper | Conference |
|---|---|
| Incremental Transformer with Deliberation Decoder for Document Grounded Conversations | ACL19 |
| Story Ending Generation with Incremental Encoding and Commonsense Knowledge | AAAI19 |
| Paper | Conference | Highlights |
|---|---|---|
| Rigid Formats Controlled Text Generation | ACL20 | make use of input embedding |
| Paper | Conference | Highlights |
|---|---|---|
| Exclusive Hierarchical Decoding for Deep Keyphrase Generation | ACL20 | hierarchical decoding |
- Dynamic Topic Tracker for KB-to-Text Generation Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel
COLING20[pdf] - Learning with Contrastive Examples for Data-to-Text Generation Yui Uehara, Tatsuya Ishigaki, Kasumi Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao
COLING20[pdf] [code]
| Paper | Conference |
|---|---|
| Logical Natural Language Generation from Open-Domain Tables | ACL20 |
| Paper | Conference |
|---|---|
| TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation | |
| Plug and Play Language Model- A Simple Baseline for Controlled Language Generation | ICLR20 |
| PaperRobot: Incremental Draft Generation of Scientific Ideas | ACL19 |
| Hierarchical Recurrent Attention Network for Response Generation | AAAI18 |