Papers
UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.
Daniel Sanchez-Cisneros, Fernando Aparicio Gali
UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.
Daniel Sanchez-Cisneros
CoMeT: Integrating different levels of linguistic modeling for meaning assessment
Niels Ott, Ramon Ziai, Michael Hahn et al.
CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students’ Understanding
Ifeyinwa Okoye, Steven Bethard, Tamara Sumner
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013
Martin Gleize, Brigitte Grau
Celi: EDITS and Generic Text Pair Classification
Milen Kouylekov, Luca Dini, Alessio Bosca et al.
CNGL: Grading Student Answers by Acts of Translation
Ergun Biçici, Josef van Genabith
EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
Itziar Aldabe, Montse Maritxalar, Oier Lopez de Lacalle
UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling
Emanuele Bastianelli, Danilo Croce, Roberto Basili et al.
NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
Pedro Balage Filho, Thiago Pardo
nlp.cs.aueb.gr: Two Stage Sentiment Analysis
Prodromos Malakasiotis, Rafael Michael Karampatsis, Konstantina Makrynioti et al.
BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets
Nadin Kökciyan, Arda Çelebi, Arzucan Özgür et al.
SZTE-NLP: Sentiment Detection on Twitter Messages
Viktor Hangya, Gábor Berend, Richárd Farkas
Serendio: Simple and Practical lexicon based approach to Sentiment Analysis
Prabu Palanisamy, Vineet Yadav, Harsha Elchuri
UoM: Using Explicit Semantic Analysis for Classifying Sentiments
Sapna Negi, Michael Rosner
Kea: Expression-level Sentiment Analysis from Twitter Data
Ameeta Agrawal, Aijun An
sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data
Harshit Jain, Aditya Mogadala, Vasudeva Varma
CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text
Qi Han, Junfei Guo, Hinrich Schuetze
teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis
Hilke Reckman, Cheyanne Baird, Jean Crawford et al.
senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task
José Saias, Hilário Fernandes
SSA-UO: Unsupervised Sentiment Analysis in Twitter
Reynier Ortega Bueno, Adrian Fonseca Bruzón, Yoan Gutiérrez et al.
IITB-Sentiment-Analysts: Participation in Sentiment Analysis in Twitter SemEval 2013 Task
Karan Chawla, Ankit Ramteke, Pushpak Bhattacharyya
REACTION: A naive machine learning approach for sentiment classification
Silvio Moreira, João Filgueiras, Bruno Martins et al.
FBM: Combining lexicon-based ML and heuristics for Social Media Polarities
Carlos Rodríguez-Penagos, Jordi Atserias Batalla, Joan Codina-Filbà et al.