Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I

s of Keynotes Task-Based Intelligent Retrieval and Recommendation

[1]  Abdellatif El Afia,et al.  Arabic Diacritization with Gated Recurrent Unit , 2018, LOPAL '18.

[2]  Stuart M. Shieber,et al.  Arabic Diacritization Using Weighted Finite-State Transducers , 2005, SEMITIC@ACL.

[3]  Fabio Crestani,et al.  Overview of eRisk 2019 Early Risk Prediction on the Internet , 2019, CLEF.

[4]  Garrison W. Cottrell,et al.  Fusion Via a Linear Combination of Scores , 1999, Information Retrieval.

[5]  Steven Bethard,et al.  Measuring the Latency of Depression Detection in Social Media , 2018, WSDM.

[6]  Oren Kurland,et al.  Query Performance Prediction Using Reference Lists , 2016, ACM Trans. Inf. Syst..

[7]  Mark Dredze,et al.  From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses , 2015, CLPsych@HLT-NAACL.

[8]  Fabio Crestani,et al.  Personality Recognition in Conversations using Capsule Neural Networks , 2019, 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

[9]  Edward A. Fox,et al.  Combination of Multiple Searches , 1993, TREC.

[10]  Tim Menzies,et al.  Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting , 2017, CLEF.

[11]  Yair Neuman.  Computational Personality Analysis , 2016, Springer International Publishing.

[12]  Saif Mohammad,et al.  CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON , 2013, Comput. Intell..

[13]  Christopher C. Yang.  Search Engines Information Retrieval in Practice , 2010, J. Assoc. Inf. Sci. Technol..

[14]  J. Pennebaker,et al.  Psychological aspects of natural language. use: our words, our selves. , 2003, Annual review of psychology.

[15]  Mohsen Rashwan,et al.  Deep Learning Framework with Confused Sub-Set Resolution Architecture for Automatic Arabic Diacritization , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[16]  Minsu Park,et al.  Depressive Moods of Users Portrayed in Twitter , 2012 .

[17]  Qinmin Hu,et al.  ECNU at 2018 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine , 2018, CLEF.

[18]  Eslam Kamal,et al.  A Hybrid Approach for Arabic Diacritization , 2013, NLDB.

[19]  Nizar Habash,et al.  Improving Arabic Diacritization through Syntactic Analysis , 2015, EMNLP.

[20]  Cindy K. Chung,et al.  The Psychological Functions of Function Words , 2007 .

[21]  Eric Horvitz,et al.  Predicting Depression via Social Media , 2013, ICWSM.

[22]  Rada Mihalcea,et al.  Values in Words: Using Language to Evaluate and Understand Personal Values , 2015, ICWSM.

[23]  Amir F. Atiya,et al.  A multi-layered approach for Arabic text diacritization , 2016, 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).

[24]  Jaspreet Singh,et al.  IIIT-H at CLEF eHealth 2017 Task 2: Technologically Assisted Reviews in Empirical Medicine , 2017, CLEF.

[25]  Krystian Mikolajczyk,et al.  Deep correlation for matching images and text , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[26]  Fabio Crestani,et al.  Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview) , 2018, CLEF.

[27]  Christopher M. Danforth,et al.  Positivity of the English Language , 2011, PloS one.

[28]  Emine Yilmaz,et al.  Research Frontiers in Information Retrieval Report from the Third Strategic Workshop on Information Retrieval in Lorne (SWIRL 2018) , 2018 .

[29]  Jure Leskovec,et al.  Graph Convolutional Neural Networks for Web-Scale Recommender Systems , 2018, KDD.

[30]  Gaël Varoquaux,et al.  The NumPy Array: A Structure for Efficient Numerical Computation , 2011, Computing in Science & Engineering.

[31]  Mark Dredze,et al.  Quantifying Mental Health Signals in Twitter , 2014, CLPsych@ACL.

[32]  Sherif Abdou,et al.  A Stochastic Arabic Diacritizer Based on a Hybrid of Factorized and Unfactorized Textual Features , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[33]  Mohamed Elmahdy,et al.  Automatic diacritics restoration for modern standard arabic text , 2016, 2016 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE).

[34]  Jure Leskovec,et al.  How Powerful are Graph Neural Networks? , 2018, ICLR.

[35]  Amar Balla,et al.  Tashkeela: Novel corpus of Arabic vocalized texts, data for auto-diacritization systems , 2017, Data in brief.

[36]  Víctor M. Prieto,et al.  Twitter: A Good Place to Detect Health Conditions , 2014, PloS one.

[37]  Fabio Crestani,et al.  Venue Suggestion Using Social-Centric Scores , 2018, BIAS.

[38]  Razan Masood,et al.  Adapting Models for the Case of Early Risk Prediction on the Internet , 2019, ECIR.

[39]  Matthew D. Zeiler.  ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.

[40]  Fred L. Drake,et al.  The Python Language Reference Manual , 1999 .

[41]  Nizar Habash,et al.  MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic , 2014, LREC.

[42]  John D. Lafferty,et al.  A study of smoothing methods for language models applied to Ad Hoc information retrieval , 2001, SIGIR '01.

[43]  Maarten Sap,et al.  The role of personality, age, and gender in tweeting about mental illness , 2015, CLPsych@HLT-NAACL.

[44]  Maria Liakata,et al.  The language of mental health problems in social media , 2016, CLPsych@HLT-NAACL.

[45]  Christopher M. Danforth,et al.  Instagram photos reveal predictive markers of depression , 2016, EPJ Data Science.

[46]  Guido Zuccon,et al.  Automatic Boolean Query Refinement for Systematic Review Literature Search , 2019, WWW.

[47]  Margaret L. Kern,et al.  Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach , 2013, PloS one.

[48]  Saif Mohammad,et al.  Word Affect Intensities , 2017, LREC.

[49]  Guido Zuccon,et al.  QUT ielab at CLEF eHealth 2017 Technology Assisted Reviews Track: Initial experiments with learning to rank , 2017, CLEF 2017.

[50]  Mark Dredze,et al.  Shared Task : Depression and PTSD on Twitter , 2015 .

[51]  Fabio Crestani,et al.  Anticipating Depression Based on Online Social Media Behaviour , 2019, FQAS.

[52]  Huchuan Lu,et al.  Deep Cross-Modal Projection Learning for Image-Text Matching , 2018, ECCV.

[53]  T. Johnstone,et al.  In an Absolute State: Elevated Use of Absolutist Words Is a Marker Specific to Anxiety, Depression, and Suicidal Ideation , 2018, Clinical psychological science : a journal of the Association for Psychological Science.

[54]  Khaled Shaalan,et al.  A Hybrid Approach for Building Arabic Diacritizer , 2009, SEMITIC@EACL.

[55]  Gaurav Singh,et al.  Identifying Diagnostic Test Accuracy Publications using a Deep Model , 2017, CLEF.

[56]  J. Pennebaker,et al.  The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods , 2010 .