Skip to content
conftrace_

SemEval 2013

114 papers

UoS: A Graph-Based System for Graded Word Sense Induction

David Hope, Bill Keller

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

SCAI: Extracting drug-drug interactions using a rich feature vector

Tamara Bobić, Juliane Fluck, Martin Hofmann-Apitius

UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing

Majid Rastegar-Mojarad, Richard D. Boyce, Rashmi Prasad

LASIGE: using Conditional Random Fields and ChEBI ontology

Tiago Grego, Francisco Pinto, Francisco M. Couto

UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge

Jari Björne, Suwisa Kaewphan, Tapio Salakoski

NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels

Behrouz Bokharaeian, Alberto Diaz

UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts

Armando Collazo, Alberto Ceballo, Dennys D. Puig, Yoan Gutiérrez, José I. Abreu

WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting

Philippe Thomas, Mariana Neves, Tim Rocktäschel, Ulf Leser

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, Detmar Meurers

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, Marco Trevisan

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, Daniele Nardi

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, John Pavlopoulos

BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets

Nadin Kökciyan, Arda Çelebi, Arzucan Özgür, Suzan Üsküdarlı

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

bwbaugh : Hierarchical sentiment analysis with partial self-training

Wesley Baugh

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, Richard Crowell, Linnea Micciulla

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, Andrés Montoyo

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, Francisco Couto, Mário J. Silva

FBM: Combining lexicon-based ML and heuristics for Social Media Polarities

Carlos Rodriguez-Penagos, Jordi Atserias Batalla, Joan Codina-Filbà, David García-Narbona, Jens Grivolla

Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media

Sara Rosenthal, Kathy McKeown

SU-Sentilab : A Classification System for Sentiment Analysis in Twitter

Gizem Gezici, Rahim Dehkharghani, Berrin Yanikoglu, Dilek Tapucu, Yucel Saygin

FBK: Sentiment Analysis in Twitter with Tweetsted

Md. Faisal Mahbub Chowdhury, Marco Guerini, Sara Tonelli, Alberto Lavelli

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

Alexandra Balahur

Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging

Hussam Hamdan, Frédéric Béchet, Patrice Bellot

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

Robert Remus

UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter

Yoan Gutiérrez, Andy González, Roger Pérez, José I. Abreu, Antonio Fernandez Orquín

SAIL: A hybrid approach to sentiment analysis

Nikolaos Malandrakis, Abe Kazemzadeh, Alexandros Potamianos, Shrikanth Narayanan

NTNU: Domain Semi-Independent Short Message Sentiment Classification

Øyvind Selmer, Mikael Brevik, Björn Gambäck, Lars Bungum

SwatCS: Combining simple classifiers with estimated accuracy

Sam Clark, Rich Wicentwoski

[LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter

Morgane Marchand, Alexandru Ginsca, Romaric Besançon, Olivier Mesnard

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

Clement Levallois

ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)

Tiantian Zhu, Fangxi Zhang, Lan Man

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

KLUE: Simple and robust methods for polarity classification

Thomas Proisl, Paul Greiner, Stefan Evert, Besim Kabashi

USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis

Ganesh Harihara, Eugene Yang, Nathanael Chambers

UT-DB: An Experimental Study on Sentiment Analysis in Twitter

Zhemin Zhu, Djoerd Hiemstra, Peter Apers, Andreas Wombacher

uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter

Hamid Poursepanj, Josh Weissbock, Diana Inkpen

TJP: Using Twitter to Analyze the Polarity of Contexts

Tawunrat Chalothorn, Jeremy Ellman

UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis

Giuseppe Castellucci, Simone Filice, Danilo Croce, Roberto Basili

AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis

Mohamed Dermouche, Leila Khouas, Julien Velcin, Sabine Loudcher

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

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

SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)

Isabel Segura-Bedmar, Paloma Martínez, María Herrero-Zazo

AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion

Lee Becker, George Erhart, David Skiba, Valentine Matula

GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent

Tobias Günther, Lenz Furrer

NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets

Saif Mohammad, Svetlana Kiritchenko, Xiaodan Zhu

SemEval-2013 Task 2: Sentiment Analysis in Twitter

Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, Veselin Stoyanov, Alan Ritter

unimelb: Topic Modelling-based Word Sense Induction

Jey Han Lau, Paul Cook, Timothy Baldwin

AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation

Osman Başkaya, Enis Sert, Volkan Cirik, Deniz Yuret

SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses

David Jurgens, Ioannis Klapaftis

UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis

Omer Levy, Torsten Zesch, Ido Dagan, Iryna Gurevych

SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis

Sergio Jiménez, Claudia Becerra, Alexander Gelbukh

ETS: Domain Adaptation and Stacking for Short Answer Scoring

Michael Heilman, Nitin Madnani

SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge

Myroslava Dzikovska, Rodney Nielsen, Chris Brew, Claudia Leacock, Danilo Giampiccolo

SemEval-2013 Task 3: Spatial Role Labeling

Oleksandr Kolomiyets, Parisa Kordjamshidi, Marie-Francine Moens, Steven Bethard

DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation

Steve L. Manion, Raazesh Sainudiin

UMCC_DLSI: Reinforcing a Ranking Algorithm with Sense Frequencies and Multidimensional Semantic Resources to solve Multilingual Word Sense Disambiguation

Yoan Gutiérrez, Yenier Castañeda, Andy González, Rainel Estrada, Dennys D. Piug

GETALP System : Propagation of a Lesk Measure through an Ant Colony Algorithm

Didier Schwab, Andon Tchechmedjiev, Jérôme Goulian, Mohammad Nasiruddin, Gilles Sérasset

SemEval-2013 Task 12: Multilingual Word Sense Disambiguation

Roberto Navigli, David Jurgens, Daniele Vannella

unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering

Jey Han Lau, Paul Cook, Timothy Baldwin

UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description

Hans-Peter Zorn, Iryna Gurevych

SATTY : Word Sense Induction Application in Web Search Clustering

Satyabrata Behera, Upasana Gaikwad, Ramakrishna Bairi, Ganesh Ramakrishnan

Duluth : Word Sense Induction Applied to Web Page Clustering

Ted Pedersen

SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application

Roberto Navigli, Daniele Vannella

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

Marine Carpuat

WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation

Maarten van Gompel, Antal van den Bosch

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

Marianna Apidianaki

HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10

Alex Rudnick, Can Liu, Michael Gasser

XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD

Liling Tan, Francis Bond

SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation

Els Lefever, Véronique Hoste

IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing

Nitesh Surtani, Arpita Batra, Urmi Ghosh, Soma Paul

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

Yannick Versley

MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds

Tim Van de Cruys, Stergos Afantenos, Philippe Muller

SemEval-2013 Task 4: Free Paraphrases of Noun Compounds

Iris Hendrickx, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Stan Szpakowicz

Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features

Yvette Graham, Bahar Salehi, Timothy Baldwin

ALTN: Word Alignment Features for Cross-lingual Textual Entailment

Marco Turchi, Matteo Negri

BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task

Darnes Vilariño, David Pinto, Saul León, Yuridiana Alemán, Helena Gomez

ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures

Jiang Zhao, Man Lan, Zheng-Yu Niu

UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags

Sergio Jiménez, Claudia Becerra, Alexander Gelbukh

ClaC: Semantic Relatedness of Words and Phrases

Reda Siblini, Leila Kosseim

IIRG: A Naive Approach to Evaluating Phrasal Semantics

Lorna Byrne, Caroline Fenlon, John Dunnion

MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting

Tim Van de Cruys, Stergos Afantenos, Philippe Muller

UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance

Héctor Dávila, Antonio Fernandez Orquín, Alexander Chávez, Yoan Gutiérrez, Armando Collazo

UTTime: Temporal Relation Classification using Deep Syntactic Features

Natsuda Laokulrat, Makoto Miwa, Yoshimasa Tsuruoka, Takashi Chikayama

KUL: Data-driven Approach to Temporal Parsing of Newswire Articles

Oleksandr Kolomiyets, Marie-Francine Moens