• 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 66 matches

• 2022
• 
  Maia Aguirre, Manex Serras, Laura García-Sardiña, Jacobo Lopez-Fernandez, Ariane Méndez, Arantza del Pozo:
  Exploiting In-Domain Bilingual Corpora for Zero-Shot Transfer Learning in NLU of Intra-Sentential Code-Switching Chatbot Interactions. EMNLP (Industry Track) 2022: 138-144
• 
  Daniel Bis, Saurabh Gupta, Jie Hao, Xing Fan, Chenlei Guo:
  PAIGE: Personalized Adaptive Interactions Graph Encoder for Query Rewriting in Dialogue Systems. EMNLP (Industry Track) 2022: 398-408
• 
  Lianshang Cai, Linhao Zhang, Dehong Ma, Jun Fan, Daiting Shi, Yi Wu, Zhicong Cheng, Simiu Gu, Dawei Yin:
  PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation. EMNLP (Industry Track) 2022: 587-595
• 
  Qian Cao, Deyi Xiong, Qinlong Wang, Xia Peng:
  CoCoID: Learning Contrastive Representations and Compact Clusters for Semi-Supervised Intent Discovery. EMNLP (Industry Track) 2022: 226-236
• 
  Lei Chen, Hou Wei Chou, Xiaodan Zhu:
  Developing Prefix-Tuning Models for Hierarchical Text Classification. EMNLP (Industry Track) 2022: 390-397
• 
  Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
  Reinforced Question Rewriting for Conversational Question Answering. EMNLP (Industry Track) 2022: 357-370
• 
  Justin Chiu, Keiji Shinzato:
  Cross-Encoder Data Annotation for Bi-Encoder Based Product Matching. EMNLP (Industry Track) 2022: 161-168
• 
  Elizabeth Dekeyser, Nicholas Comment, Shermin Pei, Rajat Kumar, Shruti Rai, Fengtao Wu, Lisa A. Haverty, Kanna Shimizu:
  Iterative Stratified Testing and Measurement for Automated Model Updates. EMNLP (Industry Track) 2022: 198-205
• 
  Yifan Ding, Yan Liang, Nasser Zalmout, Xian Li, Christan Grant, Tim Weninger:
  Ask-and-Verify: Span Candidate Generation and Verification for Attribute Value Extraction. EMNLP (Industry Track) 2022: 110
• 
  Quynh Do, Judith Gaspers, Daniil Sorokin, Patrick Lehnen:
  Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned? EMNLP (Industry Track) 2022: 121-127
• 
  Anton Eklund, Mona Forsman:
  Topic Modeling by Clustering Language Model Embeddings: Human Validation on an Industry Dataset. EMNLP (Industry Track) 2022: 635-643
• 
  Yousef El-Kurdi, Jerry Quinn, Avi Sil:
  Zero-Shot Dynamic Quantization for Transformer Inference. EMNLP (Industry Track) 2022: 451-457
• 
  Alex Estes, Nikhita Vedula, Marcus D. Collins, Matt Cecil, Oleg Rokhlenko:
  Fact Checking Machine Generated Text with Dependency Trees. EMNLP (Industry Track) 2022: 458-466
• 
  Besnik Fetahu, Akash Veeragouni, Oleg Rokhlenko, Shervin Malmasi:
  Distilling Multilingual Transformers into CNNs for Scalable Intent Classification. EMNLP (Industry Track) 2022: 429-439
• 
  Xue-Yong Fu, Cheng Chen, Md. Tahmid Rahman Laskar, Shayna Gardiner, Pooja Hiranandani, Shashi Bhushan TN:
  Entity-level Sentiment Analysis in Contact Center Telephone Conversations. EMNLP (Industry Track) 2022: 484-491
• 
  Gilad Fuchs, Ido Ben-Shaul, Matan Mandelbrod:
  Is it out yet? Automatic Future Product Releases Extraction from Web Data. EMNLP (Industry Track) 2022: 263-271
• 
  Francesco Fusco, Peter W. J. Staar, Diego Antognini:
  Unsupervised Term Extraction for Highly Technical Domains. EMNLP (Industry Track) 2022: 1-8
• 
  Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, Tra My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundararajan Srinivasan:
  SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content. EMNLP (Industry Track) 2022: 206-217
• 
  Leonidas Gee, Andrea Zugarini, Leonardo Rigutini, Paolo Torroni:
  Fast Vocabulary Transfer for Language Model Compression. EMNLP (Industry Track) 2022: 409-416
• 
  Abhinav Goyal, Anupam Singh, Nikesh Garera:
  End-to-End Speech to Intent Prediction to improve E-commerce Customer Support Voicebot in Hindi and English. EMNLP (Industry Track) 2022: 579-586
• 
  Jai Gupta, Yi Tay, Chaitanya Kamath, Vinh Tran, Donald Metzler, Shailesh Bavadekar, Mimi Sun, Evgeniy Gabrilovich:
  Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification. EMNLP (Industry Track) 2022: 521-530
• 
  Jie Hao, Yang Liu, Xing Fan, Saurabh Gupta, Saleh Soltan, Rakesh Chada, Pradeep Natarajan, Chenlei Guo, Gökhan Tür:
  CGF: Constrained Generation Framework for Query Rewriting in Conversational AI. EMNLP (Industry Track) 2022: 475-483
• 
  Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp:
  Named Entity Recognition in Industrial Tables using Tabular Language Models. EMNLP (Industry Track) 2022: 348-356
• 
  Litton J. Kurisinkel, Nancy Chen:
  Tractable & Coherent Multi-Document Summarization: Discrete Optimization of Multiple Neural Modeling Streams via Integer Linear Programming. EMNLP (Industry Track) 2022: 237-243
• 
  Hieu Le, Dieu-Thu Le, Verena Weber, Chris Church, Kay Rottmann, Melanie Bradford, Peter Chin:
  Semi-supervised Adversarial Text Generation based on Seq2Seq models. EMNLP (Industry Track) 2022: 254-262
• 
  Zeyang Lei, Chao Zhang, Xinchao Xu, Wenquan Wu, Zheng-Yu Niu, Hua Wu, Haifeng Wang, Yi Yang, Shuanglong Li:
  PLATO-Ad: A Unified Advertisement Text Generation Framework with Multi-Task Prompt Learning. EMNLP (Industry Track) 2022: 512-520
• 
  Dan Li, Vikrant Yadav, Zubair Afzal, George Tsatsaronis:
  Unsupervised Dense Retrieval for Scientific Articles. EMNLP (Industry Track) 2022: 313-321
• 
  Peng Lin, Yanyan Zou, Lingfei Wu, Mian Ma, Zhuoye Ding, Bo Long:
  Automatic Scene-based Topic Channel Construction System for E-Commerce. EMNLP (Industry Track) 2022: 272-284
• 
  Ziyang Liu, Chaokun Wang, Hao Feng, Lingfei Wu, Liqun Yang:
  Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search. EMNLP (Industry Track) 2022: 63-76
• 
  Makoto Morishita, Jun Suzuki, Masaaki Nagata:
  Domain Adaptation of Machine Translation with Crowdworkers. EMNLP (Industry Track) 2022: 606-618

skipping 36 more matches