Papers
UWB at SemEval-2016 Task 1: Semantic Textual Similarity using Lexical, Syntactic, and Semantic Information
Tomáš Brychcín, Lukáš Svoboda
VRep at SemEval-2016 Task 1 and Task 2: A System for Interpretable Semantic Similarity
Sam Henry, Allison Sands
FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings
Duygu Ataman, José G. C. de Souza, Marco Turchi et al.
SemEval 2016 Task 11: Complex Word Identification
Gustavo Paetzold, Lucia Specia
SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)
Nathan Schneider, Dirk Hovy, Anders Johannsen et al.
SemEval-2016 Task 3: Community Question Answering
Preslav Nakov, Lluís Màrquez, Alessandro Moschitti et al.
SemEval-2016 Task 2: Interpretable Semantic Textual Similarity
Eneko Agirre, Aitor Gonzalez-Agirre, Iñigo Lopez-Gazpio et al.
SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation
Eneko Agirre, Carmen Banea, Daniel Cer et al.
ECNU at SemEval-2016 Task 7: An Enhanced Supervised Learning Method for Lexicon Sentiment Intensity Ranking
Feixiang Wang, Zhihua Zhang, Man Lan
UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination
Ladislav Lenc, Pavel Král, Václav Rajtmajer
LSIS at SemEval-2016 Task 7: Using Web Search Engines for English and Arabic Unsupervised Sentiment Intensity Prediction
Amal Htait, Sebastien Fournier, Patrice Bellot
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble
Martin Tutek, Ivan Sekulić, Paula Gombar et al.
MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection
Guido Zarrella, Amy Marsh
IDI@NTNU at SemEval-2016 Task 6: Detecting Stance in Tweets Using Shallow Features and GloVe Vectors for Word Representation
Henrik Bøhler, Petter Asla, Erwin Marsi et al.
JU_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines
Braja Gopal Patra, Dipankar Das, Sivaji Bandyopadhyay
CU-GWU Perspective at SemEval-2016 Task 6: Ideological Stance Detection in Informal Text
Heba Elfardy, Mona Diab
ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers
Michael Wojatzki, Torsten Zesch
NLDS-UCSC at SemEval-2016 Task 6: A Semi-Supervised Approach to Detecting Stance in Tweets
Amita Misra, Brian Ecker, Theodore Handleman et al.
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs
Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi et al.
UWB at SemEval-2016 Task 6: Stance Detection
Peter Krejzl, Josef Steinberger
Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection
Yuki Igarashi, Hiroya Komatsu, Sosuke Kobayashi et al.