*SEM 2013: all accepted papers
- WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting ↗Philippe Thomas, Mariana Neves, Tim Rocktäschel et al.
- WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs ↗Tim Rocktäschel, Torsten Huber, Michael Weidlich et al.
- WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation ↗Maarten van Gompel, Antal van den Bosch
- XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD ↗Liling Tan, Francis Bond
- [LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter ↗Morgane Marchand, Alexandru Ginsca, Romaric Besançon et al.
- nlp.cs.aueb.gr: Two Stage Sentiment Analysis ↗Prodromos Malakasiotis, Rafael Michael Karampatsis, Konstantina Makrynioti et al.
- senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task ↗José Saias, Hilário Fernandes
- sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data ↗Harshit Jain, Aditya Mogadala, Vasudeva Varma
- teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis ↗Hilke Reckman, Cheyanne Baird, Jean Crawford et al.
- uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter ↗Hamid Poursepanj, Josh Weissbock, Diana Inkpen
- unimelb: Topic Modelling-based Word Sense Induction ↗Jey Han Lau, Paul Cook, Timothy Baldwin
- unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering ↗Jey Han Lau, Paul Cook, Timothy Baldwin
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