• 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 38 matches

• 2020
• 
  Aseel Addawood, Alhanouf Alsuwailem, Ali Alohali, Dalal Alajaji, Mashail Alturki, Jaida Alsuhaibani, Fawziah Aljabli:
  Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case. NLP4COVID@EMNLP 2020
• 
  Zubair Afzal, Vikrant Yadav, Olga Fedorova, Vaishnavi Kandala, Janneke van de Loo, Saber A. Akhondi, Pascal Coupet, George Tsatsaronis:
  CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles. NLP4COVID@EMNLP 2020
• 
  Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
  A System for Worldwide COVID-19 Information Aggregation. NLP4COVID@EMNLP 2020
• 
  Tiago Melo Almeida, Sérgio Matos:
  Frugal neural reranking: evaluation on the Covid-19 literature. NLP4COVID@EMNLP 2020
• 
  Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur:
  TICO-19: the Translation Initiative for COvid-19. NLP4COVID@EMNLP 2020
• 
  Márcia Barros, Andre Lamurias, Diana F. Sousa, Pedro Ruas, Francisco M. Couto:
  COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities. NLP4COVID@EMNLP 2020
• 
  Alexandre Bérard, Zae Myung Kim, Vassilina Nikoulina, Eunjeong Lucy Park, Matthias Gallé:
  A Multilingual Neural Machine Translation Model for Biomedical Data. NLP4COVID@EMNLP 2020
• 
  Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea:
  Quantifying the Effects of COVID-19 on Mental Health Support Forums. NLP4COVID@EMNLP 2020
• 
  Nico Colic, Lenz Furrer, Fabio Rinaldi:
  Annotating the Pandemic: Named Entity Recognition and Normalisation in COVID-19 Literature. NLP4COVID@EMNLP 2020
• 
  Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, Deanna Needell:
  COVID-19 Literature Topic-Based Search via Hierarchical NMF. NLP4COVID@EMNLP 2020
• 
  David Hardage, Peyman Najafirad:
  Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research. NLP4COVID@EMNLP 2020
• 
  Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, Sameer Singh:
  COVIDLies: Detecting COVID-19 Misinformation on Social Media. NLP4COVID@EMNLP 2020
• 
  Pedram Hosseini, Poorya Hosseini, David A. Broniatowski:
  Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP. NLP4COVID@EMNLP 2020
• 
  Yong Hu, Heyan Huang, Anfan Chen, Xian-Ling Mao:
  Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo. NLP4COVID@EMNLP 2020
• 
  Hyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Z. Janjua:
  Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes. NLP4COVID@EMNLP 2020
• 
  Abdullatif Köksal, Hilal Dönmez, Riza Özçelik, Elif Ozkirimli, Arzucan Özgür:
  Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature. NLP4COVID@EMNLP 2020
• 
  Robert Leaman, Zhiyong Lu:
  A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2. NLP4COVID@EMNLP 2020
• 
  Seolhwa Lee, João Sedoc:
  Using the Poly-encoder for a COVID-19 Question Answering System. NLP4COVID@EMNLP 2020
• 
  Jinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, Wonjin Yoon, Yonghwa Choi, Miyoung Ko, Jaewoo Kang:
  Answering Questions on COVID-19 in Real-Time. NLP4COVID@EMNLP 2020
• 
  Austin Van Loon, Sheridan Stewart, Brandon Waldon, Shrinidhi K. Lakshmikanth, Ishan Shah, Sharath Chandra Guntuku, Garrick Sherman, James Zou, Johannes C. Eichstaedt:
  Explaining the Trump Gap in Social Distancing Using COVID Discourse. NLP4COVID@EMNLP 2020
• 
  Brandon Lwowski, Peyman Najafirad:
  COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning. NLP4COVID@EMNLP 2020
• 
  Panagiotis Lymperopoulos, Haoling Qiu, Bonan Min:
  Concept Wikification for COVID-19. NLP4COVID@EMNLP 2020
• 
  Lin Miao, Mark Last, Marina Litvak:
  Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures. NLP4COVID@EMNLP 2020
• 
  Andrei Mircea:
  Real-time Classification, Geolocation and Interactive Visualization of COVID-19 Information Shared on Social Media to Better Understand Global Developments. NLP4COVID@EMNLP 2020
• 
  Arantxa Otegi, Jon Ander Campos, Gorka Azkune, Aitor Soroa, Eneko Agirre:
  Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature. NLP4COVID@EMNLP 2020
• 
  Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Simon Suster:
  Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration. NLP4COVID@EMNLP 2020
• 
  Alejandro Piad-Morffis, Suilan Estevez-Velarde, Ernesto Luis Estevanell-Valladares, Yoan Gutiérrez, Andrés Montoyo, Rafael Muñoz, Yudivián Almeida-Cruz:
  Knowledge Discovery in COVID-19 Research Literature. NLP4COVID@EMNLP 2020
• 
  Adam Poliak, Max Fleming, Cash Costello, Kenton W. Murray, Mahsa Yarmohammadi, Shivani Pandya, Darius Irani, Milind Agarwal, Udit Sharma, Shuo Sun, Nicola Ivanov, Lingxi Shang, Kaushik Srinivasan, Seolhwa Lee, Xu Han, Smisha Agarwal, João Sedoc:
  Collecting Verified COVID-19 Question Answer Pairs. NLP4COVID@EMNLP 2020
• 
  Philip Resnik, Katherine E. Goodman, Mike Moran:
  Developing a Curated Topic Model for COVID-19 Medical Research Literature. NLP4COVID@EMNLP 2020
• 
  Roshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt, Lyle H. Ungar, Sharath Chandra Guntuku:
  Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. NLP4COVID@EMNLP 2020