• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 548 matches

• 2022
• 
  Xinyan Yu, Trina Chatterjee, Akari Asai, Junjie Hu, Eunsol Choi:
  Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources. EMNLP (Findings) 2022: 3725-3743
• 
  Gaurav Pandey, Danish Contractor, Sachindra Joshi:
  Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings. EMNLP (Findings) 2022: 3273-3287
• 
  Dou Hu, Xiaolong Hou, Xiyang Du, Mengyuan Zhou, Lianxin Jiang, Yang Mo, Xiaofeng Shi:
  VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding. EMNLP (Findings) 2022: 6276-6286
• 
  Kurt Shuster, Mojtaba Komeili, Leonard Adolphs, Stephen Roller, Arthur Szlam, Jason Weston:
  Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion. EMNLP (Findings) 2022: 373-393
• 
  Bowen Li, Thomas Lukasiewicz:
  Learning to Model Multimodal Semantic Alignment for Story Visualization. EMNLP (Findings) 2022: 4712-4718
• 
  Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang:
  AdaPrompt: Adaptive Model Training for Prompt-based NLP. EMNLP (Findings) 2022: 6057-6068
• 
  Wang Zhu, Jesse Thomason, Robin Jia:
  Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems. EMNLP (Findings) 2022: 4697-4711
• 
  Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Antonio Jimeno-Yepes, Jey Han Lau:
  M3: Multi-level dataset for Multi-document summarisation of Medical studies. EMNLP (Findings) 2022: 3887-3901
• 
  Junwei Bao, Yifan Wang, Ying Jiangyong, Yeyun Gong, Jing Zhao, Youzheng Wu, Xiaodong He:
  P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training. EMNLP (Findings) 2022: 6663-6675
• 
  Zhichao Yang, Shufan Wang, Bhanu Pratap Singh Rawat, Avijit Mitra, Hong Yu:
  Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding. EMNLP (Findings) 2022: 1767-1781
• 
  Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng:
  Task Compass: Scaling Multi-task Pre-training with Task Prefix. EMNLP (Findings) 2022: 5671-5685
• 
  Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo Shang:
  Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition. EMNLP (Findings) 2022: 3186-3199
• 
  Yibo Hu, Yu Lin, Erick Skorupa Parolin, Latifur Khan, Kevin W. Hamlen:
  Controllable Fake Document Infilling for Cyber Deception. EMNLP (Findings) 2022: 6505-6519
• 
  Shuaiqi Liu, Jiannong Cao, Ruosong Yang, Zhiyuan Wen:
  Long Text and Multi-Table Summarization: Dataset and Method. EMNLP (Findings) 2022: 1995-2010
• 
  Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Haitao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim:
  Prompt-learning for Fine-grained Entity Typing. EMNLP (Findings) 2022: 6888-6901
• 
  Xing Wu, Chaochen Gao, Zijia Lin, Zhongyuan Wang, Jizhong Han, Songlin Hu:
  RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval. EMNLP (Findings) 2022: 3036-3047
• 
  Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou:
  LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. EMNLP (Findings) 2022: 471-485
• 
  Mohammed Saeed, Paolo Papotti:
  You Are My Type! Type Embeddings for Pre-trained Language Models. EMNLP (Findings) 2022: 4583-4598
• 
  Dawei Zhang, Sixing Wu, Yao Guo, Xiangqun Chen:
  MOBA-E2C: Generating MOBA Game Commentaries via Capturing Highlight Events from the Meta-Data. EMNLP (Findings) 2022: 4545-4556
• 
  Gaurav Maheshwari, Pascal Denis, Mikaela Keller, Aurélien Bellet:
  Fair NLP Models with Differentially Private Text Encoders. EMNLP (Findings) 2022: 6913-6930
• 
  Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang:
  Are Large Pre-Trained Language Models Leaking Your Personal Information? EMNLP (Findings) 2022: 2038-2047
• 
  Zifeng Wang, Jimeng Sun:
  Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. EMNLP (Findings) 2022: 6377-6390
• 
  Peng Shi, Linfeng Song, Lifeng Jin, Haitao Mi, He Bai, Jimmy Lin, Dong Yu:
  Cross-lingual Text-to-SQL Semantic Parsing with Representation Mixup. EMNLP (Findings) 2022: 5296-5306
• 
  Peng Shi, Rui Zhang, He Bai, Jimmy Lin:
  XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing. EMNLP (Findings) 2022: 5248-5259
• 
  Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
  Knowledge-Rich Self-Supervision for Biomedical Entity Linking. EMNLP (Findings) 2022: 868-880
• 
  Yi Chen, Haiyun Jiang, Lemao Liu, Rui Wang, Shuming Shi, Ruifeng Xu:
  MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation. EMNLP (Findings) 2022: 5948-5958
• 
  Hui Chen, Wei Han, Soujanya Poria:
  SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training. EMNLP (Findings) 2022: 6141-6146
• 
  Griffin Adams, Han-Chin Shing, Qing Sun, Christopher Winestock, Kathleen R. McKeown, Noémie Elhadad:
  Learning to Revise References for Faithful Summarization. EMNLP (Findings) 2022: 4009-4027
• 
  Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston:
  Reason first, then respond: Modular Generation for Knowledge-infused Dialogue. EMNLP (Findings) 2022: 7112-7132
• 
  Abhishek Agarwal, Shanshan Xu, Matthias Grabmair:
  Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance. EMNLP (Findings) 2022: 1857-1872

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