Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production

[1]  Angeliki Lazaridou,et al.  Internet-augmented language models through few-shot prompting for open-domain question answering , 2022, ArXiv.

[2]  Fandong Meng,et al.  Exploring Dynamic Selection of Branch Expansion Orders for Code Generation , 2021, ACL.

[3]  Jason Weston,et al.  Retrieval Augmentation Reduces Hallucination in Conversation , 2021, EMNLP.

[4]  Nicola De Cao,et al.  Multilingual Autoregressive Entity Linking , 2021, TACL.

[5]  Jiebo Luo,et al.  Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning , 2021, Artif. Intell..

[6]  Jie Zhou,et al.  Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation , 2020, EMNLP.

[7]  Wei Wu,et al.  Knowledge-Grounded Dialogue Generation with Pre-trained Language Models , 2020, EMNLP.

[8]  Daqing He,et al.  An Empirical Study on Neural Keyphrase Generation , 2020, NAACL.

[9]  Edouard Grave,et al.  Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering , 2020, EACL.

[10]  Zhonghai Wu,et al.  Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness , 2020, ACL.

[11]  Fabio Petroni,et al.  Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks , 2020, NeurIPS.

[12]  Xiaojiang Liu,et al.  Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation , 2020, ACL.

[13]  Mary Williamson,et al.  Recipes for Building an Open-Domain Chatbot , 2020, EACL.

[14]  Danqi Chen,et al.  Dense Passage Retrieval for Open-Domain Question Answering , 2020, EMNLP.

[15]  Minlie Huang,et al.  KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation , 2020, ACL.

[16]  Quoc V. Le,et al.  ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators , 2020, ICLR.

[17]  Gunhee Kim,et al.  Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue , 2020, ICLR.

[18]  Quoc V. Le,et al.  Towards a Human-like Open-Domain Chatbot , 2020, ArXiv.

[19]  Ricardo Campos,et al.  YAKE! Keyword extraction from single documents using multiple local features , 2020, Inf. Sci..

[20]  Zhiyuan Liu,et al.  Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs , 2019, ACL.

[21]  Jianfeng Gao,et al.  DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation , 2019, ACL.

[22]  Omer Levy,et al.  BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension , 2019, ACL.

[23]  Dilek Z. Hakkani-Tür,et al.  Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations , 2019, INTERSPEECH.

[24]  Seungwhan Moon,et al.  OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs , 2019, ACL.

[25]  Xiyuan Zhang,et al.  Proactive Human-Machine Conversation with Explicit Conversation Goal , 2019, ACL.

[26]  Ming-Wei Chang,et al.  Latent Retrieval for Weakly Supervised Open Domain Question Answering , 2019, ACL.

[27]  Pascale Fung,et al.  Personalizing Dialogue Agents via Meta-Learning , 2019, ACL.

[28]  Rongzhong Lian,et al.  Learning to Select Knowledge for Response Generation in Dialog Systems , 2019, IJCAI.

[29]  J. Weston,et al.  Wizard of Wikipedia: Knowledge-Powered Conversational agents , 2018, ICLR.

[30]  Mitesh M. Khapra,et al.  Towards Exploiting Background Knowledge for Building Conversation Systems , 2018, EMNLP.

[31]  Alan W. Black,et al.  A Dataset for Document Grounded Conversations , 2018, EMNLP.

[32]  Michael R. Lyu,et al.  Title-Guided Encoding for Keyphrase Generation , 2018, AAAI.

[33]  Xiaoming Zhang,et al.  Keyphrase Generation with Correlation Constraints , 2018, EMNLP.

[34]  Yang Feng,et al.  Knowledge Diffusion for Neural Dialogue Generation , 2018, ACL.

[35]  Xiaoyan Zhu,et al.  Commonsense Knowledge Aware Conversation Generation with Graph Attention , 2018, IJCAI.

[36]  Li Wang,et al.  A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization , 2018, IJCAI.

[37]  Jason Weston,et al.  Personalizing Dialogue Agents: I have a dog, do you have pets too? , 2018, ACL.

[38]  Frank Hutter,et al.  Decoupled Weight Decay Regularization , 2017, ICLR.

[39]  Mari Ostendorf,et al.  Scientific Information Extraction with Semi-supervised Neural Tagging , 2017, EMNLP.

[40]  Richard Socher,et al.  A Deep Reinforced Model for Abstractive Summarization , 2017, ICLR.

[41]  Shuguang Han,et al.  Deep Keyphrase Generation , 2017, ACL.

[42]  Ming-Wei Chang,et al.  A Knowledge-Grounded Neural Conversation Model , 2017, AAAI.

[43]  Xuanjing Huang,et al.  Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter , 2016, EMNLP.

[44]  Jianfeng Gao,et al.  A Persona-Based Neural Conversation Model , 2016, ACL.

[45]  Aditi Sharan,et al.  Keyword and Keyphrase Extraction Techniques: A Literature Review , 2015 .

[46]  Paolo Ferragina,et al.  TAGME: on-the-fly annotation of short text fragments (by wikipedia entities) , 2010, CIKM.

[47]  Nick Cramer,et al.  Automatic Keyword Extraction from Individual Documents , 2010 .

[48]  Stephen E. Robertson,et al.  Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval , 1994, SIGIR '94.

[49]  Ronald J. Williams,et al.  Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.

[50]  Ying Li,et al.  More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge , 2021, EMNLP.

[51]  Ethan A. Chi,et al.  Neural, Neural Everywhere: Controlled Generation Meets Scaffolded, Structured Dialogue ∗ , 2021 .

[52]  Ming-Wei Chang,et al.  BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.