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ORCIDCLEF 2018: Avignon, France - Working Notes
- Linda Cappellato, Nicola Ferro, Jian-Yun Nie, Laure Soulier:
Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum, Avignon, France, September 10-14, 2018. CEUR Workshop Proceedings 2125, CEUR-WS.org 2018
CENTRE@CLEF
- Nicola Ferro, Maria Maistro, Tetsuya Sakai, Ian Soboroff:
CENTRE@CLEF2018: Overview of the Replicability Task. - Marco Jungwirth, Allan Hanbury:
Replicating an Experiment in Cross-lingual Information Retrieval with Explicit Semantic Analysis.
LifeCLEF
- Christophe Botella, Pierre Bonnet, François Munoz, Pascal Monestiez, Alexis Joly:
Overview of GeoLifeCLEF 2018: Location-based Species Recommendation. - Hervé Goëau, Stefan Kahl, Hervé Glotin, Bob Planqué, Willem-Pier Vellinga, Alexis Joly:
Overview of BirdCLEF 2018: Monospecies vs. Sundscape Bird Identification. - Hervé Goëau, Pierre Bonnet, Alexis Joly:
Overview of ExpertLifeCLEF 2018: how far Automated Identification Systems are from the Best Experts? - Sara Atito, Berrin A. Yanikoglu, Erchan Aptoula, Ipek Ganiyusufoglu, Aras Yildiz, Kerem Yildirir, Baris Sevilmis, Mehmet Umut Sen:
Plant Identification with Deep Learning Ensembles. - Benjamin Deneu, Maximilien Servajean, Christophe Botella, Alexis Joly:
Location-based Species Recommendation using Co-occurrences and Environment- GeoLifeCLEF 2018 Challenge. - Josef Haupt, Stefan Kahl, Danny Kowerko, Maximilian Eibl:
Large-Scale Plant Classification using Deep Convolutional Neural Networks. - Stefan Kahl, Thomas Wilhelm-Stein, Holger Klinck, Danny Kowerko, Maximilian Eibl:
A Baseline for Large-Scale Bird Species Identification in Field Recordings. - Mario Lasseck:
Audio-based Bird Species Identification with Deep Convolutional Neural Networks. - Mario Lasseck:
Machines vs. Human Experts: Contribution to the ExpertLifeCLEF 2018 Plant Identification Task. - Nithish B. Moudhgalya, S. Sharan Sundar, Siddharth Divi, Palaniappan Mirunalini, Chandrabose Aravindan, S. M. Jaisakthi:
Convolutional Long Short-Term Memory Neural Networks for Hierarchical Species Prediction. - Lukas Müller, Mario Marti:
Bird Sound Classification using a Bidirectional LSTM. - Jan Schlüter:
Bird Identification from Timestamped, Geotagged Audio Recordings. - Milan Sulc, Lukás Picek, Jiri Matas:
Plant Recognition by Inception Networks with Test-time Class Prior Estimation. - Stefan Taubert, Max Mauermann, Stefan Kahl, Danny Kowerko, Maximilian Eibl:
Species Prediction based on Environmental Variables using Machine Learning Techniques. - Haiwei Wu, Ming Li:
Construction and Improvements of Bird Songs' Classification System.
PAN Lab on Digital Text Forensics
- Martin Potthast, Felix Schremmer, Matthias Hagen, Benno Stein:
Overview of the Author Obfuscation Task at PAN 2018: A New Approach to Measuring Safety. - Francisco M. Rangel Pardo, Paolo Rosso, Manuel Montes-y-Gómez, Martin Potthast, Benno Stein:
Overview of the 6th Author Profiling Task at PAN 2018: Multimodal Gender Identification in Twitter. - Mike Kestemont, Michael Tschuggnall, Efstathios Stamatatos, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast:
Overview of the Author Identification Task at PAN-2018: Cross-domain Authorship Attribution and Style Change Detection. - Jamal Ahmad Khan:
A Model for Style Breach Detection at a Glance: Notebook for PAN at CLEF 2018. - Mario Ezra Aragón, Adrián Pastor López-Monroy:
A Straightforward Multimodal Approach for Author Profiling: Notebook for PAN at CLEF 2018. - Roy Khristopher Bayot, Teresa Gonçalves:
Multilingual Author Profiling using LSTMs: Notebook for PAN at CLEF 2018. - Giovanni Ciccone, Arthur Sultan, Léa Laporte, Elöd Egyed-Zsigmond, Alaa Alhamzeh, Michael Granitzer:
Stacked Gender Prediction from Tweet Texts and Images: Notebook for PAN at CLEF 2018. - José Eleandro Custódio, Ivandré Paraboni:
EACH-USP Ensemble Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018. - Saman Daneshvar, Diana Inkpen:
Gender Identification in Twitter using N-grams and LSA: Notebook for PAN at CLEF 2018. - Pius von Däniken, Ralf Grubenmann, Mark Cieliebak:
Word Unigram Weighing for Author Profiling at PAN 2018: Notebook for PAN at CLEF 2018. - Rafael Felipe Sandroni Dias, Ivandré Paraboni:
Author Profiling using Word Embeddings with Subword Information: Notebook for PAN at CLEF 2018. - Lukasz Gagala:
Authorship Attribution with Neural Networks and Multiple Features: Notebook for PAN at CLEF 2018. - Òscar Garibo i Orts:
A Big Data approach to gender classification in Twitter: Notebook for PAN at CLEF 2018. - Yaakov HaCohen-Kerner, Daniel Miller, Yair Yigal, Elyashiv Shayovitz:
Cross-domain Authorship Attribution: Author Identification using Char Sequences, Word Uni-grams, and POS-tags Features: Notebook for PAN at CLEF 2018. - Yaakov HaCohen-Kerner, Yair Yigal, Elyashiv Shayovitz, Daniel Miller, Toby P. Breckon:
Author Profiling: Gender Prediction from Tweets and Images: Notebook for PAN at CLEF 2018. - Oren Halvani, Lukas Graner:
Cross-Domain Authorship Attribution Based on Compression: Notebook for PAN at CLEF 2018. - Marjan Hosseinia, Arjun Mukherjee:
A Parallel Hierarchical Attention Network for Style Change Detection: Notebook for PAN at CLEF 2018. - Jussi Karlgren, Lewis Esposito, Chantal Gratton, Pentti Kanerva:
Authorship Profiling Without Using Topical Information: Notebook for PAN at CLEF 2018. - Mirco Kocher, Jacques Savoy:
UniNE at CLEF 2018: Author Masking: Notebook for PAN at CLEF 2018. - Rick Kosse, Youri Schuur, Guido Cnossen:
Mixing Traditional Methods with Neural Networks for Gender Prediction: Notebook for PAN at CLEF 2018. - Rocío López-Anguita, Arturo Montejo-Ráez, Manuel Carlos Díaz-Galiano:
Complexity Measures and POS n-grams for Author Identification in Several Languages: SINAI at PAN@CLEF 2018. - J. Roberto López-Santillán, Luis Carlos González-Gurrola, Graciela Ramírez Alonso:
Custom Document Embeddings Via the Centroids Method: Gender Classification in an Author Profiling Task: Notebook for PAN at CLEF 2018. - Matej Martinc, Blaz Skrlj, Senja Pollak:
Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018. - Carolina Martín-Del-Campo-Rodríguez, Helena Gómez-Adorno, Grigori Sidorov, Ildar Z. Batyrshin:
CIC-GIL Approach to Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018. - Benjamin Murauer, Michael Tschuggnall, Günther Specht:
Dynamic Parameter Search for Cross-Domain Authorship Attribution: Notebook for PAN at CLEF 2018. - Moniek Nieuwenhuis, Jeroen Wilkens:
Twitter Text and Image Gender Classification with a Logistic Regression N-Gram Model: Notebook for PAN at CLEF 2018. - Braja Gopal Patra, Kumar Gourav Das, Dipankar Das:
Multimodal Author Profiling for Twitter: Notebook for PAN at CLEF 2018. - Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy, Hasan Zeynali, Salar Khayat Mirza Rasouli:
Author Masking Directed by Author's Style: Notebook for PAN at CLEF 2018. - Kashyap Raiyani, Teresa Gonçalves, Paulo Quaresma
, Vítor Beires Nogueira:
Multi-Language Neural Network Model with Advance Preprocessor for Gender Classification over Social Media: Notebook for PAN at CLEF 2018. - Kamil Safin, Aleksandr Ogaltsov:
Detecting a Change of Style using Text Statistics: Notebook for PAN at CLEF 2018. - Nils Schaetti:
Character-based Convolutional Neural Network and ResNet18 for Twitter Author Profiling: Notebook for PAN at CLEF 2018. - Nils Schaetti:
Character-based Convolutional Neural Network for Style Change Detection: Notebook for PAN at CLEF 2018. - Nils Schaetti:
Bidirectional Echo State Network-based Reservoir Computing for Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018. - Erhan Sezerer, Ozan Polatbilek, Özge Sevgili, Selma Tekir:
Gender Prediction From Tweets With Convolutional Neural Networks: Notebook for PAN at CLEF 2018. - Sebastián Sierra, Fabio A. González:
Combining Textual and Visual Representations for Multimodal Author Profiling: Notebook for PAN at CLEF 2018. - Luka Stout, Robert Musters, Chris Pool:
Author Profiling based on Text and Images: Notebook for PAN at CLEF 2018. - Takumi Takahashi, Takuji Tahara, Koki Nagatani, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma:
Text and Image Synergy with Feature Cross Technique for Gender Identification: Notebook for PAN at CLEF 2018. - Eric Sadit Tellez, Sabino Miranda-Jiménez, Daniela Moctezuma, Mario Graff, Vladimir Salgado, José Ortiz-Bejar:
Gender Identification through Multi-modal Tweet Analysis using MicroTC and Bag of Visual Words: Notebook for PAN at CLEF 2018. - Robert Veenhoven, Stan Snijders, Daniël van der Hall, Rik van Noord:
Using Translated Data to Improve Deep Learning Author Profiling Models: Notebook for PAN at CLEF 2018. - Dimitrina Zlatkova, Daniel Kopev, Kristiyan Mitov, Atanas Atanasov, Momchil Hardalov, Ivan Koychev, Preslav Nakov:
An Ensemble-Rich Multi-Aspect Approach Towards Robust Style Change Detection: Notebook for PAN at CLEF 2018.
CLEF eHealth
- Aurélie Névéol, Aude Robert, Francesco Grippo, Claire Morgand, Chiara Orsi, Laszlo Pelikan, Lionel Ramadier, Grégoire Rey, Pierre Zweigenbaum:
CLEF eHealth 2018 Multilingual Information Extraction Task Overview: ICD10 Coding of Death Certificates in French, Hungarian and Italian. - Evangelos Kanoulas, Dan Li, Leif Azzopardi, René Spijker:
CLEF 2018 Technologically Assisted Reviews in Empirical Medicine Overview. - Jimmy, Guido Zuccon, João R. M. Palotti, Lorraine Goeuriot, Liadh Kelly:
Overview of the CLEF 2018 Consumer Health Search Task. - Amal Alharbi, William Briggs, Mark Stevenson:
Retrieving and Ranking Studies for Systematic Reviews: University of Sheffield's Approach to CLEF eHealth 2018 Task 2. - Mario Almagro, Soto Montalvo, Arantza Díaz de Ilarraza, Alicia Pérez:
MAMTRA-MED at CLEF eHealth 2018: A Combination of Information Retrieval Techniques and Neural Networks for ICD-10 Coding of Death Certificates. - Aitziber Atutxa, Arantza Casillas, Nerea Ezeiza, Víctor Fresno, Iakes Goenaga, Koldo Gojenola, Raquel Martínez, Maite Oronoz Anchordoqui, Olatz Perez-de-Viñaspre:
IxaMed at CLEF eHealth 2018 Task 1: ICD10 Coding with a Sequence-to-Sequence Approach. - Rabia Bounaama, Mohammed El Amine Abderrahim:
Tlemcen University at CELF eHealth 2018 Team Techno: Multilingual Information Extraction - ICD10 coding. - Aaron M. Cohen, Neil R. Smalheiser:
OHSU CLEF 2018 Task 2 Diagnostic Test Accuracy Ranking using Publication Type Cluster Similarity Measures. - Gordon V. Cormack, Maura R. Grossman:
Technology-Assisted Review in Empirical Medicine: Waterloo Participation in CLEF eHealth 2018. - Sébastien Cossin, Vianney Jouhet, Fleur Mougin, Gayo Diallo, Frantz Thiessard:
IAM at CLEF eHealth 2018 : Concept Annotation and Coding in French Death Certificates. - Giorgio Maria Di Nunzio:
Classification of ICD10 Codes with no Resources but Reproducible Code. IMS Unipd at CLEF eHealth Task 1. - Giorgio Maria Di Nunzio, Giacomo Ciuffreda, Federica Vezzani:
Interactive Sampling for Systematic Reviews. IMS Unipd At CLEF 2018 eHealth Task 2. - Giorgio Maria Di Nunzio, Alexandru Moldovan:
A Study on Query Expansion with MeSH Terms and Elasticsearch. IMS Unipd at CLEF eHealth Task 3. - Manuel Carlos Díaz-Galiano, Pilar López-Úbeda, María Teresa Martín-Valdivia, Luis Alfonso Ureña López:
SINAI at CLEF eHealth 2018 Task 3. Using cTAKES to Remove Noise from Expanding Queries with Google. - Rémi Flicoteaux:
ECSTRA-APHP @ CLEF eHealth2018-task 1: ICD10 Code Extraction from Death Certificates. - Julien Gobeill, Patrick Ruch:
Instance-based Learning for ICD10 Categorization. - Julia Ive, Natalia Viani, David Chandran, André Bittar, Sumithra Velupillai:
KCL-Health-NLP@CLEF eHealth 2018 Task 1: ICD-10 Coding of French and Italian Death Certificates with Character-Level Convolutional Neural Networks. - Serena Jeblee, Akshay Budhkar, Sasa Milic, Jeff Pinto, Chloé Pou-Prom, Krishnapriya Vishnubhotla, Graeme Hirst, Frank Rudzicz:
Toronto CL CLEF 2018 eHealth Task 1: Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks. - Jimmy, Guido Zuccon, Bevan Koopman:
QUT IElab at CLEF 2018 Consumer Health Search Task: Knowledge Base Retrieval for Consumer Health Search. - Mengting Li, Cong Xu, Tingyu Wei, Dongyang Bao, Ningjie Lu, Jing Yang:
ECNU at 2018 eHealth Task1 Multilingual Information Extraction. - Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, María Teresa Martín-Valdivia, Luis Alfonso Ureña López:
Machine Learning to Detect ICD10 Codes in Causes of Death. - Adamantios Minas, Athanasios Lagopoulos, Grigorios Tsoumakas:
Aristotle University's Approach to the Technologically Assisted Reviews in Empirical Medicine Task of the 2018 CLEF eHealth Lab. - Nkwebi Peace Motlogelwa, Edwin Thuma, Tebo Leburu-Dingalo:
Merging Search Results Generated by Multiple Query Variants Using Data Fusion. - Christopher R. Norman, Mariska M. G. Leeflang, Aurélie Névéol:
LIMSI@CLEF eHealth 2018 Task 2: Technology Assisted Reviews by Stacking Active and Static Learning. - Kévin Réby, Sébastien Cossin, Georgeta Bordea, Gayo Diallo:
SITIS-ISPED in CLEF eHealth 2018 Task 1 : ICD10 coding using Deep Learning. - Shadi Saleh, Pavel Pecina:
CUNI team: CLEF eHealth Consumer Health Search Task 2018. - Jurica Seva, Mario Sänger, Ulf Leser:
WBI at CLEF eHealth 2018 Task 1: Language-independent ICD-10 Coding using Multi-lingual Embeddings and Recurrent Neural Networks. - Huaying Wu, Tingting Wang, Jiayi Chen, Su Chen, Qinmin Hu, Liang He:
ECNU at 2018 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine. - Hua Yang, Teresa Gonçalves:
Improving Personalized Consumer Health Search: Notebook for eHealth at CLEF 2018. - Siwar Zayani, Nesrine Ksentini, Mohamed Tmar, Faïez Gargouri:
Miracl at CLEF 2018 : Consumer Health Search Task.
MC2 - Multilingual Cultural Mining and Retrieval
- Jean-Valère Cossu, Julio Gonzalo, Malek Hajjem, Olivier Hamon, Chiraz Latiri, Eric SanJuan:
CLEF MC2 2018 Lab Technical Overview of Cross Language Microblog Search and Argumentative Mining. - Chedi Bechikh Ali, Hatem Haddad:
Monolingual and Cross-lingual Information Retrieval in Cultural Microblog at CLEF 2018. - Kévin Deturck, Damien Nouvel, Frédérique Segond:
ERTIM@MC2: Diversified Argumentative Tweets Retrieval. - Richard Dufour, Mickael Rouvier, Alexandre Delorme, Damien Malinas:
LIA@CLEF 2018: Mining Events Opinion Argumentation from Raw Unlabeled Twitter Data using Convolutional Neural Network. - Seif Sendi, Chiraz Latiri:
Opinion Argumentation based on Combined Information Retrieval and Topic Modeling. - Jie Zhou, Qi Zhang, Qinmin Hu, Liang He:
ECNU at MC2 2018 Task 2: Mining Opinion Argumentation.
ImageCLEF - Multimedia Retrieval in CLEF
- Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux, Cathal Gurrin:
Overview of ImageCLEFlifelog 2018: Daily Living Understanding and Lifelog Moment Retrieval. - Alba Garcia Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Henning Müller:
Overview of the ImageCLEF 2018 Caption Prediction Tasks. - Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Henning Müller:
Overview of ImageCLEFtuberculosis 2018 - Detecting Multi-Drug Resistance, Classifying Tuberculosis Types and Assessing Severity Scores. - Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Henning Müller, Matthew P. Lungren:
Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task. - Md Sajib Ahmed, Sk Md Obaidullah, Mohan L. Jayatilake, Teresa Gonçalves, Luís Miguel Rato:
Texture Analysis from 3D Model and Individual Slice Extraction for Tuberculosis MDR Detection, Type Classification and Severity Scoring. - Imane Allaouzi, Mohamed Ben Ahmed:
Deep Neural Networks and Decision Tree Classifier for Visual Question Answering in the Medical Domain. - Imane Allaouzi, Mohamed Ben Ahmed:
A 3D-CNN and SVM for Multi-Drug Resistance Detection. - Asma Ben Abacha, Soumya Gayen, Jason J. Lau, Sivaramakrishnan Rajaraman, Dina Demner-Fushman:
NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain. - Fatma Ben Abdallah, Ghada Feki, Mohamed Ezzarka, Anis Ben Ammar, Chokri Ben Amar:
Regim Lab Team at ImageCLEF Lifelog Moment Retrieval Task 2018. - Kirill Bogomasov, Ludmila Himmelspach, Gerhard Klassen, Martha Tatusch, Stefan Conrad:
Feature-Based Approach for Severity Scoring of Lung Tuberculosis from CT Images. - Minh-Son Dao, Asem Kasem, Mohamed Saleem Haja Nazmudeen:
Leveraging Content and Context in Understanding Activities of Daily Living. - Yashin Dicente Cid, Henning Müller:
Texture-based Graph Model of the Lungs for Drug Resistance Detection, Tuberculosis Type Classification, and Severity Scoring: Participation in ImageCLEF 2018 Tuberculosis Task. - Mihai Dogariu, Bogdan Ionescu:
Multimedia Lab @ ImageCLEF 2018 Lifelog Moment Retrieval Task. - Xiaohong W. Gao, Carl James-Reynolds, Edward Currie:
Analysing TB Severity Levels with an Enhanced Deep re-sidual Learning - Depth-Resnet. - Amilcare Gentili:
ImageCLEF2018: Transfer Learning for Deep Learning with CNN for Tuberculosis Classification. - Abdelkader Hamadi, Djamel Eddine Yagoub:
ImageCLEF 2018: Semantic Descriptors for Tuberculosis CT Image Classification. - Adam Ishay, Oge Marques:
ImageCLEF 2018 Tuberculosis Task: Ensemble of 3D CNNs with Multiple Inputs for Tuberculosis Type Classification. - Ergina Kavallieratou, Carlos R. del-Blanco, Carlos Cuevas, Narciso García:
Retrieving Events in Life Logging. - Vitali Liauchuk, Aleh Tarasau, Eduard Snezhko, Vassili Kovalev, Andrei E. Gabrielian, Alex Rosenthal:
ImageCLEF 2018: Lesion-based TB-descriptor for CT Image Analysis. - Fernando Llopis Pascual, Jorge Azorín López, Juan Ramón Rico-Juan, Andrés Fuster Guilló, Irene Llopis:
Tuberculosis Detection using Optical Flow and the Activity Description Vector. - Yalei Peng, Feifan Liu:
UMass at ImageCLEF Medical Visual Question Answering(Med-VQA) 2018 Task. - Eduardo Pinho, Carlos Costa:
Feature Learning with Adversarial Networks for Concept Detection in Medical Images: UA.PT Bioinformatics at ImageCLEF 2018. - Mahmudur Rahman:
A Cross Modal Deep Learning Based Approach for Caption Prediction and Concept Detection by CS Morgan State. - Graham Spinks, Marie-Francine Moens:
Generating Text from Images in a Smooth Representation Space. - Yupeng Su, Feifan Liu, Max P. Rosen:
UMass at ImageCLEF Caption Prediction 2018 Task. - Bashar Talafha, Mahmoud Al-Ayyoub:
JUST at VQA-Med: A VGG-Seq2Seq Model. - Tsun-Hsien Tang, Min-Huan Fu, Hen-Hsen Huang, Kuan-Ta Chen, Hsin-Hsi Chen:
Visual Concept Selection with Textual Knowledge for Understanding Activities of Daily Living and Life Moment Retrieval. - Martha Tatusch, Stefan Conrad:
Detection of Multidrug-resistant Tuberculosis using Convolutional Neural Networks and Decision Trees. - Minh-Triet Tran, Thanh-Dat Truong, Tung Dinh Duy, Viet-Khoa Vo-Ho, Quoc-An Luong, Vinh-Tiep Nguyen:
Lifelog Moment Retrieval with Visual Concept Fusion and Text-based Query Expansion. - Leonidas Valavanis, Theodore Kalamboukis:
IPL at ImageCLEF 2018: A kNN-based Concept Detection Approach. - Xuwen Wang, Yu Zhang, Zhen Guo, Jiao Li:
ImageSem at ImageCLEF 2018 Caption Task: Image Retrieval and Transfer Learning. - Liting Zhou, Luca Piras, Michael Riegler, Mathias Lux, Duc-Tien Dang-Nguyen, Cathal Gurrin:
An Interactive Lifelog Retrieval System for Activities of Daily Living Understanding. - Yangyang Zhou, Xin Kang, Fuji Ren:
Employing Inception-Resnet-v2 and Bi-LSTM for Medical Domain Visual Question Answering.
PIR-CLEF - Evaluation of Personalised Information Retrieval
- Gabriella Pasi, Gareth J. F. Jones, Keith Curtis, Stefania Marrara, Camilla Sanvitto, Debasis Ganguly, Procheta Sen:
Overview of the CLEF 2018 Personalised Information Retrieval Lab (PIR-CLEF 2018). - Alberto Andreu-Marín, Fernando Javier Martínez Santiago, Luis Alfonso Ureña López, Manuel Carlos Díaz-Galiano:
PIR Based in Explicit and Implicit Feedback. - Qingchun Bai, Qi Zhang, Qinmin Hu, Liang He:
ECNU at CLEF PIR 2018 : Evaluation of Personalized Information Retrieval.
Early Risk Prediction on the Internet
- David E. Losada, Fabio Crestani, Javier Parapar:
Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview). - Fidel Cacheda, Diego Fernández Iglesias, Francisco Javier Nóvoa, Victor Carneiro:
Analysis and Experiments on Early Detection of Depression. - Dario G. Funez, Maria José Garciarena Ucelay, Maria Paula Villegas, Sergio Burdisso, Leticia C. Cagnina, Manuel Montes-y-Gómez, Marcelo Errecalde:
UNSL's participation at eRisk 2018 Lab. - Ning Liu, Zheng Zhou, Kang Xin, Fuji Ren:
TUA1 at eRisk 2018. - Diego Maupomé, Marie-Jean Meurs:
Using Topic Extraction on Social Media Content for the Early Detection of Depression. - Rosa María Ortega-Mendoza, Adrián Pastor López-Monroy, Anilu Franco-Arcega, Manuel Montes-y-Gómez:
PEIMEX at eRisk2018: Emphasizing Personal Information for Depression and Anorexia Detection. - Sayanta Paul, Sree Kalyani Jandhyala, Tanmay Basu:
Early Detection of Signs of Anorexia and Depression Over Social Media using Effective Machine Learning Frameworks. - Waleed Ragheb, Bilel Moulahi, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Temporal Mood Variation: at the CLEF eRisk-2018 Tasks for Early Risk Detection on The Internet. - Faneva Ramiandrisoa, Josiane Mothe, Farah Benamara, Véronique Moriceau:
IRIT at e-Risk 2018. - Diana Ramírez-Cifuentes, Ana Freire:
UPF's Participation at the CLEF eRisk 2018: Early Risk Prediction on the Internet. - Marcel Trotzek, Sven Koitka, Christoph M. Friedrich:
Word Embeddings and Linguistic Metadata at the CLEF 2018 Tasks for Early Detection of Depression and Anorexia. - Yu-Tseng Wang, Hen-Hsen Huang, Hsin-Hsi Chen:
A Neural Network Approach to Early Risk Detection of Depression and Anorexia on Social Media Text.
Checkthat - Automatic Identification and Verification of Political Claims
- Pepa Atanasova, Lluís Màrquez, Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, Preslav Nakov:
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness. - Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Lluís Màrquez, Pepa Atanasova, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, Preslav Nakov:
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality. - Romain Agez, Clément Bosc, Cédric Lespagnol, Noémie Petitcol, Josiane Mothe:
IRIT at CheckThat! 2018. - Bilal Ghanem, Manuel Montes-y-Gómez, Francisco M. Rangel Pardo, Paolo Rosso:
UPV-INAOE - Check That: An Approach based on External Sources to Detect Claims Credibility. - Bilal Ghanem, Manuel Montes-y-Gómez, Francisco M. Rangel Pardo, Paolo Rosso:
UPV-INAOE - Check That: Preliminary Approach for Checking Worthiness of Claims. - Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Christina Lioma:
The Copenhagen Team Participation in the Check-Worthiness Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 CheckThat! Lab. - Yash Kumar Lal, Dhruv Khattar, Vaibhav Kumar, Abhimanshu Mishra, Vasudeva Varma:
Check It Out : Politics and Neural Networks. - Dongsheng Wang, Jakob Grue Simonsen, Birger Larsen, Christina Lioma:
The Copenhagen Team Participation in the Factuality Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 Fact Checking Lab. - Khaled Yasser, Mücahid Kutlu, Tamer Elsayed:
bigIR at CLEF 2018: Detection and Verification of Check-Worthy Political Claims. - Chaoyuan Zuo, Ayla Karakas, Ritwik Banerjee:
A Hybrid Recognition System for Check-worthy Claims Using Heuristics and Supervised Learning.
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