Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

Anthology ID:: S13-2
Month:: June
Year:: 2013
Address:: Atlanta, Georgia, USA
Venue:: SemEval
SIG:: SIGLEX
Publisher:: Association for Computational Linguistics
URL:: https://aclanthology.org/S13-2
DOI:
Bib Export formats:: BibTeX
PDF:: https://preview.aclanthology.org/remove-xml-comments/S13-2.pdf

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Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
Suresh Manandhar | Deniz Yuret

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ClearTK-TimeML: A minimalist approach to TempEval 2013
Steven Bethard

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HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3
Jannik Strötgen | Julian Zell | Michael Gertz

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ATT1: Temporal Annotation Using Big Windows and Rich Syntactic and Semantic Features
Hyuckchul Jung | Amanda Stent

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Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization
Matteo Negri | Alessandro Marchetti | Yashar Mehdad | Luisa Bentivogli | Danilo Giampiccolo

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SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT
Sergio Jimenez | Claudia Becerra | Alexander Gelbukh

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SemEval-2013 Task 5: Evaluating Phrasal Semantics
Ioannis Korkontzelos | Torsten Zesch | Fabio Massimo Zanzotto | Chris Biemann

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HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures
Christian Wartena

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ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
Michele Filannino | Gavin Brown | Goran Nenadic

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FSS-TimEx for TempEval-3: Extracting Temporal Information from Text
Vanni Zavarella | Hristo Tanev

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JU_CSE: A CRF Based Approach to Annotation of Temporal Expression, Event and Temporal Relations
Anup Kumar Kolya | Amitava Kundu | Rajdeep Gupta | Asif Ekbal | Sivaji Bandyopadhyay

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NavyTime: Event and Time Ordering from Raw Text
Nathanael Chambers

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SUTime: Evaluation in TempEval-3
Angel Chang | Christopher D. Manning

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KUL: Data-driven Approach to Temporal Parsing of Newswire Articles
Oleksandr Kolomiyets | Marie-Francine Moens

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UTTime: Temporal Relation Classification using Deep Syntactic Features
Natsuda Laokulrat | Makoto Miwa | Yoshimasa Tsuruoka | Takashi Chikayama

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MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting
Tim Van de Cruys | Stergos Afantenos | Philippe Muller

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IIRG: A Naive Approach to Evaluating Phrasal Semantics
Lorna Byrne | Caroline Fenlon | John Dunnion

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ClaC: Semantic Relatedness of Words and Phrases
Reda Siblini | Leila Kosseim

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UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags
Sergio Jimenez | Claudia Becerra | Alexander Gelbukh

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ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures
Jiang Zhao | Man Lan | Zheng-Yu Niu

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BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task
Darnes Vilariño | David Pinto | Saúl León | Yuridiana Alemán | Helena Gómez

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ALTN: Word Alignment Features for Cross-lingual Textual Entailment
Marco Turchi | Matteo Negri

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Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features
Yvette Graham | Bahar Salehi | Timothy Baldwin

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MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds
Tim Van de Cruys | Stergos Afantenos | Philippe Muller

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SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking
Yannick Versley

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IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing
Nitesh Surtani | Arpita Batra | Urmi Ghosh | Soma Paul

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SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation
Els Lefever | Véronique Hoste

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XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD
Liling Tan | Francis Bond

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HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10
Alex Rudnick | Can Liu | Michael Gasser

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LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering
Marianna Apidianaki

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WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation
Maarten van Gompel | Antal van den Bosch

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NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)
Marine Carpuat

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SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application
Roberto Navigli | Daniele Vannella

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Duluth : Word Sense Induction Applied to Web Page Clustering
Ted Pedersen

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SATTY : Word Sense Induction Application in Web Search Clustering
Satyabrata Behera | Upasana Gaikwad | Ramakrishna Bairi | Ganesh Ramakrishnan

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UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description
Hans-Peter Zorn | Iryna Gurevych

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unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering
Jey Han Lau | Paul Cook | Timothy Baldwin

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SemEval-2013 Task 12: Multilingual Word Sense Disambiguation
Roberto Navigli | David Jurgens | Daniele Vannella

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DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation
Steve L. Manion | Raazesh Sainudiin

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SemEval-2013 Task 3: Spatial Role Labeling
Oleksandr Kolomiyets | Parisa Kordjamshidi | Marie-Francine Moens | Steven Bethard

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ETS: Domain Adaptation and Stacking for Short Answer Scoring
Michael Heilman | Nitin Madnani

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SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis
Sergio Jimenez | Claudia Becerra | Alexander Gelbukh

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UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis
Omer Levy | Torsten Zesch | Ido Dagan | Iryna Gurevych

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SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses
David Jurgens | Ioannis Klapaftis

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AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation
Osman Başkaya | Enis Sert | Volkan Cirik | Deniz Yuret

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unimelb: Topic Modelling-based Word Sense Induction
Jey Han Lau | Paul Cook | Timothy Baldwin

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NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
Saif Mohammad | Svetlana Kiritchenko | Xiaodan Zhu

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GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent
Tobias Günther | Lenz Furrer

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AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion
Lee Becker | George Erhart | David Skiba | Valentine Matula

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SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)
Isabel Segura-Bedmar | Paloma Martínez | María Herrero-Zazo

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FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information
Md. Faisal Mahbub Chowdhury | Alberto Lavelli

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WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs
Tim Rocktäschel | Torsten Huber | Michael Weidlich | Ulf Leser

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AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis
Mohamed Dermouche | Leila Khouas | Julien Velcin | Sabine Loudcher

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UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis
Giuseppe Castellucci | Simone Filice | Danilo Croce | Roberto Basili

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TJP: Using Twitter to Analyze the Polarity of Contexts
Tawunrat Chalothorn | Jeremy Ellman

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uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter
Hamid Poursepanj | Josh Weissbock | Diana Inkpen

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UT-DB: An Experimental Study on Sentiment Analysis in Twitter
Zhemin Zhu | Djoerd Hiemstra | Peter Apers | Andreas Wombacher

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USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis
Ganesh Harihara | Eugene Yang | Nathanael Chambers

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KLUE: Simple and robust methods for polarity classification
Thomas Proisl | Paul Greiner | Stefan Evert | Besim Kabashi

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SINAI: Machine Learning and Emotion of the Crowd for Sentiment Analysis in Microblogs
Eugenio Martínez-Cámara | Arturo Montejo-Ráez | M. Teresa Martín-Valdivia | L. Alfonso Ureña-López

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ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)
Tiantian Zhu | Fangxi Zhang | Lan Man

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Umigon: sentiment analysis for tweets based on terms lists and heuristics
Clement Levallois

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[LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter
Morgane Marchand | Alexandru Ginsca | Romaric Besançon | Olivier Mesnard

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SwatCS: Combining simple classifiers with estimated accuracy
Sam Clark | Rich Wicentwoski

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NTNU: Domain Semi-Independent Short Message Sentiment Classification
Øyvind Selmer | Mikael Brevik | Björn Gambäck | Lars Bungum

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SAIL: A hybrid approach to sentiment analysis
Nikolaos Malandrakis | Abe Kazemzadeh | Alexandros Potamianos | Shrikanth Narayanan

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ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques
Robert Remus

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Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging
Hussam Hamdan | Frederic Béchet | Patrice Bellot

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OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts
Alexandra Balahur

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FBK: Sentiment Analysis in Twitter with Tweetsted
Md. Faisal Mahbub Chowdhury | Marco Guerini | Sara Tonelli | Alberto Lavelli

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SU-Sentilab : A Classification System for Sentiment Analysis in Twitter
Gizem Gezici | Rahim Dehkharghani | Berrin Yanikoglu | Dilek Tapucu | Yucel Saygin

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Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media
Sara Rosenthal | Kathy McKeown

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REACTION: A naive machine learning approach for sentiment classification
Silvio Moreira | João Filgueiras | Bruno Martins | Francisco Couto | Mário J. Silva

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IITB-Sentiment-Analysts: Participation in Sentiment Analysis in Twitter SemEval 2013 Task
Karan Chawla | Ankit Ramteke | Pushpak Bhattacharyya

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SSA-UO: Unsupervised Sentiment Analysis in Twitter
Reynier Ortega Bueno | Adrian Fonseca Bruzón | Yoan Gutiérrez | Andrés Montoyo

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senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task
José Saias | Hilário Fernandes

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CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text
Qi Han | Junfei Guo | Hinrich Schuetze

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sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data
Harshit Jain | Aditya Mogadala | Vasudeva Varma

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Kea: Expression-level Sentiment Analysis from Twitter Data
Ameeta Agrawal | Aijun An

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UoM: Using Explicit Semantic Analysis for Classifying Sentiments
Sapna Negi | Michael Rosner

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bwbaugh : Hierarchical sentiment analysis with partial self-training
Wesley Baugh

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Serendio: Simple and Practical lexicon based approach to Sentiment Analysis
Prabu Palanisamy | Vineet Yadav | Harsha Elchuri

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SZTE-NLP: Sentiment Detection on Twitter Messages
Viktor Hangya | Gábor Berend | Richárd Farkas

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BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets
Nadin Kökciyan | Arda Çelebi | Arzucan Özgür | Suzan Üsküdarlı

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nlp.cs.aueb.gr: Two Stage Sentiment Analysis
Prodromos Malakasiotis | Rafael Michael Karampatsis | Konstantina Makrynioti | John Pavlopoulos

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NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
Pedro Balage Filho | Thiago Pardo

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UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling
Emanuele Bastianelli | Danilo Croce | Roberto Basili | Daniele Nardi

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EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
Itziar Aldabe | Montse Maritxalar | Oier Lopez de Lacalle

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CNGL: Grading Student Answers by Acts of Translation
Ergun Biçici | Josef van Genabith

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Celi: EDITS and Generic Text Pair Classification
Milen Kouylekov | Luca Dini | Alessio Bosca | Marco Trevisan

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LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013
Martin Gleize | Brigitte Grau

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CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students’ Understanding
Ifeyinwa Okoye | Steven Bethard | Tamara Sumner

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CoMeT: Integrating different levels of linguistic modeling for meaning assessment
Niels Ott | Ramon Ziai | Michael Hahn | Detmar Meurers

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UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.
Daniel Sanchez-Cisneros

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UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.
Daniel Sanchez-Cisneros | Fernando Aparicio Gali

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WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting
Philippe Thomas | Mariana Neves | Tim Rocktäschel | Ulf Leser

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NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels
Behrouz Bokharaeian | Alberto Díaz

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UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge
Jari Björne | Suwisa Kaewphan | Tapio Salakoski

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LASIGE: using Conditional Random Fields and ChEBI ontology
Tiago Grego | Francisco Pinto | Francisco M. Couto

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UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing
Majid Rastegar-Mojarad | Richard D. Boyce | Rashmi Prasad

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SCAI: Extracting drug-drug interactions using a rich feature vector
Tamara Bobić | Juliane Fluck | Martin Hofmann-Apitius

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UColorado_SOM: Extraction of Drug-Drug Interactions from Biomedical Text using Knowledge-rich and Knowledge-poor Features
Negacy Hailu | Lawrence E. Hunter | K. Bretonnel Cohen

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UoS: A Graph-Based System for Graded Word Sense Induction
David Hope | Bill Keller