• 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 19 matches

• 2020
• 
  Gaurav Arora, Chirag Jain, Manas Chaturvedi, Krupal Modi:
  HINT3: Raising the bar for Intent Detection in the Wild. Insights 2020: 100-105
• 
  Valentina Beretta, Sébastien Harispe, Katarina Boland, Luke Lo Seen, Konstantin Todorov, Andon Tchechmedjiev:
  Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About? Insights 2020: 71-75
• 
  Meghana Moorthy Bhat, Srinivasan Parthasarathy:
  How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study. Insights 2020: 48-53
• 
  Ashwin Geet D'Sa, Irina Illina, Dominique Fohr, Dietrich Klakow, Dana Ruiter:
  Label Propagation-Based Semi-Supervised Learning for Hate Speech Classification. Insights 2020: 54-59
• 
  Daria Dzendzik, Carl Vogel, Jennifer Foster:
  Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It's complicated! Insights 2020: 6-14
• 
  Yanai Elazar, Victoria Basmova, Shauli Ravfogel, Yoav Goldberg, Reut Tsarfaty:
  The Extraordinary Failure of Complement Coercion Crowdsourcing. Insights 2020: 106-116
• 
  Catherine Finegan-Dollak, Ashish Verma:
  Layout-Aware Text Representations Harm Clustering Documents by Type. Insights 2020: 60-65
• 
  William Huang, Haokun Liu, Samuel R. Bowman:
  Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data. Insights 2020: 82-87
• 
  Alka Khurana, Vasudha Bhatnagar:
  NMF Ensembles? Not for Text Summarization! Insights 2020: 88-93
• 
  Zhengzhong Liang, Mihai Surdeanu:
  Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules? Insights 2020: 76-81
• 
  Constantine Lignos, Marjan Kamyab:
  If You Build Your Own NER Scorer, Non-replicable Results Will Come. Insights 2020: 94-99
• 
  Samuel Louvan, Bernardo Magnini:
  How Far Can We Go with Data Selection? A Case Study on Semantic Sequence Tagging Tasks. Insights 2020: 15-21
• 
  Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta:
  Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks. Insights 2020: 22-31
• 
  Anmol Nayak, Hariprasad Timmapathini, Karthikeyan Ponnalagu, Vijendran Gopalan Venkoparao:
  Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary words. Insights 2020: 1-5
• 
  Prasanna Parthasarathi, Sharan Narang, Arvind Neelakantan:
  On Task-Level Dialogue Composition of Generative Transformer Model. Insights 2020: 41-47
• 
  Silvia Terragni, Debora Nozza, Elisabetta Fersini, Enza Messina:
  Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models. Insights 2020: 32-40
• 
  Steven R. Wilson, Walid Magdy, Barbara McGillivray, Gareth Tyson:
  Embedding Structured Dictionary Entries. Insights 2020: 117-125
• 
  Andrew Zupon, Faiz Rafique, Mihai Surdeanu:
  An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios. Insights 2020: 66-70
• 
  Anna Rogers, João Sedoc, Anna Rumshisky:
  Proceedings of the First Workshop on Insights from Negative Results in NLP, Insights 2020, Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-66-8 [contents]