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 (Editors)
- 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:
- PDF:
- https://aclanthology.org/S13-2.pdf
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
SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations
Naushad UzZaman
|
Hector Llorens
|
Leon Derczynski
|
James Allen
|
Marc Verhagen
|
James Pustejovsky
ClearTK-TimeML: A minimalist approach to TempEval 2013
Steven Bethard
HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3
Jannik Strötgen
|
Julian Zell
|
Michael Gertz
ATT1: Temporal Annotation Using Big Windows and Rich Syntactic and Semantic Features
Hyuckchul Jung
|
Amanda Stent
Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization
Matteo Negri
|
Alessandro Marchetti
|
Yashar Mehdad
|
Luisa Bentivogli
|
Danilo Giampiccolo
SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT
Sergio Jimenez
|
Claudia Becerra
|
Alexander Gelbukh
SemEval-2013 Task 5: Evaluating Phrasal Semantics
Ioannis Korkontzelos
|
Torsten Zesch
|
Fabio Massimo Zanzotto
|
Chris Biemann
HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures
Christian Wartena
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
Michele Filannino
|
Gavin Brown
|
Goran Nenadic
FSS-TimEx for TempEval-3: Extracting Temporal Information from Text
Vanni Zavarella
|
Hristo Tanev
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
NavyTime: Event and Time Ordering from Raw Text
Nathanael Chambers
SUTime: Evaluation in TempEval-3
Angel Chang
|
Christopher D. Manning
KUL: Data-driven Approach to Temporal Parsing of Newswire Articles
Oleksandr Kolomiyets
|
Marie-Francine Moens
UTTime: Temporal Relation Classification using Deep Syntactic Features
Natsuda Laokulrat
|
Makoto Miwa
|
Yoshimasa Tsuruoka
|
Takashi Chikayama
UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance
Héctor Dávila
|
Antonio Fernández Orquín
|
Alexander Chávez
|
Yoan Gutiérrez
|
Armando Collazo
|
José I. Abreu
|
Andrés Montoyo
|
Rafael Muñoz
MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting
Tim Van de Cruys
|
Stergos Afantenos
|
Philippe Muller
IIRG: A Naive Approach to Evaluating Phrasal Semantics
Lorna Byrne
|
Caroline Fenlon
|
John Dunnion
ClaC: Semantic Relatedness of Words and Phrases
Reda Siblini
|
Leila Kosseim
UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags
Sergio Jimenez
|
Claudia Becerra
|
Alexander Gelbukh
ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures
Jiang Zhao
|
Man Lan
|
Zheng-Yu Niu
BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task
Darnes Vilariño
|
David Pinto
|
Saúl León
|
Yuridiana Alemán
|
Helena Gómez
ALTN: Word Alignment Features for Cross-lingual Textual Entailment
Marco Turchi
|
Matteo Negri
Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features
Yvette Graham
|
Bahar Salehi
|
Timothy Baldwin
SemEval-2013 Task 4: Free Paraphrases of Noun Compounds
Iris Hendrickx
|
Zornitsa Kozareva
|
Preslav Nakov
|
Diarmuid Ó Séaghdha
|
Stan Szpakowicz
|
Tony Veale
MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds
Tim Van de Cruys
|
Stergos Afantenos
|
Philippe Muller
SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking
Yannick Versley
IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing
Nitesh Surtani
|
Arpita Batra
|
Urmi Ghosh
|
Soma Paul
SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation
Els Lefever
|
Véronique Hoste
XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD
Liling Tan
|
Francis Bond
HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10
Alex Rudnick
|
Can Liu
|
Michael Gasser
LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering
Marianna Apidianaki
WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation
Maarten van Gompel
|
Antal van den Bosch
NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)
Marine Carpuat
SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application
Roberto Navigli
|
Daniele Vannella
Duluth : Word Sense Induction Applied to Web Page Clustering
Ted Pedersen
SATTY : Word Sense Induction Application in Web Search Clustering
Satyabrata Behera
|
Upasana Gaikwad
|
Ramakrishna Bairi
|
Ganesh Ramakrishnan
UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description
Hans-Peter Zorn
|
Iryna Gurevych
unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering
Jey Han Lau
|
Paul Cook
|
Timothy Baldwin
SemEval-2013 Task 12: Multilingual Word Sense Disambiguation
Roberto Navigli
|
David Jurgens
|
Daniele Vannella
GETALP System : Propagation of a Lesk Measure through an Ant Colony Algorithm
Didier Schwab
|
Andon Tchechmedjiev
|
Jérôme Goulian
|
Mohammad Nasiruddin
|
Gilles Sérasset
|
Hervé Blanchon
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
|
Jose I. Abreu
|
Roger Pérez
|
Antonio Fernández Orquín
|
Andrés Montoyo
|
Rafael Muñoz
|
Franc Camara
DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation
Steve L. Manion
|
Raazesh Sainudiin
SemEval-2013 Task 3: Spatial Role Labeling
Oleksandr Kolomiyets
|
Parisa Kordjamshidi
|
Marie-Francine Moens
|
Steven Bethard
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
|
Luisa Bentivogli
|
Peter Clark
|
Ido Dagan
|
Hoa Trang Dang
ETS: Domain Adaptation and Stacking for Short Answer Scoring
Michael Heilman
|
Nitin Madnani
SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis
Sergio Jimenez
|
Claudia Becerra
|
Alexander Gelbukh
UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis
Omer Levy
|
Torsten Zesch
|
Ido Dagan
|
Iryna Gurevych
SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses
David Jurgens
|
Ioannis Klapaftis
AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation
Osman Başkaya
|
Enis Sert
|
Volkan Cirik
|
Deniz Yuret
unimelb: Topic Modelling-based Word Sense Induction
Jey Han Lau
|
Paul Cook
|
Timothy Baldwin
SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov
|
Sara Rosenthal
|
Zornitsa Kozareva
|
Veselin Stoyanov
|
Alan Ritter
|
Theresa Wilson
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
Saif Mohammad
|
Svetlana Kiritchenko
|
Xiaodan Zhu
GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent
Tobias Günther
|
Lenz Furrer
AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion
Lee Becker
|
George Erhart
|
David Skiba
|
Valentine Matula
SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)
Isabel Segura-Bedmar
|
Paloma Martínez
|
María Herrero-Zazo
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
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
AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis
Mohamed Dermouche
|
Leila Khouas
|
Julien Velcin
|
Sabine Loudcher
UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis
Giuseppe Castellucci
|
Simone Filice
|
Danilo Croce
|
Roberto Basili
TJP: Using Twitter to Analyze the Polarity of Contexts
Tawunrat Chalothorn
|
Jeremy Ellman
uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter
Hamid Poursepanj
|
Josh Weissbock
|
Diana Inkpen
UT-DB: An Experimental Study on Sentiment Analysis in Twitter
Zhemin Zhu
|
Djoerd Hiemstra
|
Peter Apers
|
Andreas Wombacher
USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis
Ganesh Harihara
|
Eugene Yang
|
Nathanael Chambers
KLUE: Simple and robust methods for polarity classification
Thomas Proisl
|
Paul Greiner
|
Stefan Evert
|
Besim Kabashi
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
ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)
Tiantian Zhu
|
Fangxi Zhang
|
Lan Man
Umigon: sentiment analysis for tweets based on terms lists and heuristics
Clement Levallois
[LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter
Morgane Marchand
|
Alexandru Ginsca
|
Romaric Besançon
|
Olivier Mesnard
SwatCS: Combining simple classifiers with estimated accuracy
Sam Clark
|
Rich Wicentwoski
NTNU: Domain Semi-Independent Short Message Sentiment Classification
Øyvind Selmer
|
Mikael Brevik
|
Björn Gambäck
|
Lars Bungum
SAIL: A hybrid approach to sentiment analysis
Nikolaos Malandrakis
|
Abe Kazemzadeh
|
Alexandros Potamianos
|
Shrikanth Narayanan
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 Fernández Orquín
|
Alejandro Mosquera
|
Andrés Montoyo
|
Rafael Muñoz
|
Franc Camara
ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques
Robert Remus
Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging
Hussam Hamdan
|
Frederic Béchet
|
Patrice Bellot
OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts
Alexandra Balahur
FBK: Sentiment Analysis in Twitter with Tweetsted
Md. Faisal Mahbub Chowdhury
|
Marco Guerini
|
Sara Tonelli
|
Alberto Lavelli
SU-Sentilab : A Classification System for Sentiment Analysis in Twitter
Gizem Gezici
|
Rahim Dehkharghani
|
Berrin Yanikoglu
|
Dilek Tapucu
|
Yucel Saygin
Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media
Sara Rosenthal
|
Kathy McKeown
FBM: Combining lexicon-based ML and heuristics for Social Media Polarities
Carlos Rodríguez-Penagos
|
Jordi Atserias Batalla
|
Joan Codina-Filbà
|
David García-Narbona
|
Jens Grivolla
|
Patrik Lambert
|
Roser Saurí
REACTION: A naive machine learning approach for sentiment classification
Silvio Moreira
|
João Filgueiras
|
Bruno Martins
|
Francisco Couto
|
Mário J. Silva
IITB-Sentiment-Analysts: Participation in Sentiment Analysis in Twitter SemEval 2013 Task
Karan Chawla
|
Ankit Ramteke
|
Pushpak Bhattacharyya
SSA-UO: Unsupervised Sentiment Analysis in Twitter
Reynier Ortega Bueno
|
Adrian Fonseca Bruzón
|
Yoan Gutiérrez
|
Andrés Montoyo
senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task
José Saias
|
Hilário Fernandes
teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis
Hilke Reckman
|
Cheyanne Baird
|
Jean Crawford
|
Richard Crowell
|
Linnea Micciulla
|
Saratendu Sethi
|
Fruzsina Veress
CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text
Qi Han
|
Junfei Guo
|
Hinrich Schuetze
sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data
Harshit Jain
|
Aditya Mogadala
|
Vasudeva Varma
Kea: Expression-level Sentiment Analysis from Twitter Data
Ameeta Agrawal
|
Aijun An
UoM: Using Explicit Semantic Analysis for Classifying Sentiments
Sapna Negi
|
Michael Rosner
bwbaugh : Hierarchical sentiment analysis with partial self-training
Wesley Baugh
Serendio: Simple and Practical lexicon based approach to Sentiment Analysis
Prabu Palanisamy
|
Vineet Yadav
|
Harsha Elchuri
SZTE-NLP: Sentiment Detection on Twitter Messages
Viktor Hangya
|
Gábor Berend
|
Richárd Farkas
BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets
Nadin Kökciyan
|
Arda Çelebi
|
Arzucan Özgür
|
Suzan Üsküdarlı
nlp.cs.aueb.gr: Two Stage Sentiment Analysis
Prodromos Malakasiotis
|
Rafael Michael Karampatsis
|
Konstantina Makrynioti
|
John Pavlopoulos
NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
Pedro Balage Filho
|
Thiago Pardo
UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling
Emanuele Bastianelli
|
Danilo Croce
|
Roberto Basili
|
Daniele Nardi
EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
Itziar Aldabe
|
Montse Maritxalar
|
Oier Lopez de Lacalle
CNGL: Grading Student Answers by Acts of Translation
Ergun Biçici
|
Josef van Genabith
Celi: EDITS and Generic Text Pair Classification
Milen Kouylekov
|
Luca Dini
|
Alessio Bosca
|
Marco Trevisan
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013
Martin Gleize
|
Brigitte Grau
CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students’ Understanding
Ifeyinwa Okoye
|
Steven Bethard
|
Tamara Sumner
CoMeT: Integrating different levels of linguistic modeling for meaning assessment
Niels Ott
|
Ramon Ziai
|
Michael Hahn
|
Detmar Meurers
UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.
Daniel Sanchez-Cisneros
UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.
Daniel Sanchez-Cisneros
|
Fernando Aparicio Gali
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting
Philippe Thomas
|
Mariana Neves
|
Tim Rocktäschel
|
Ulf Leser
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
|
Roger Pérez
|
Antonio Fernández Orquín
|
Andrés Montoyo
|
Rafael Muñoz
|
Franc Camara
NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels
Behrouz Bokharaeian
|
Alberto Díaz
UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge
Jari Björne
|
Suwisa Kaewphan
|
Tapio Salakoski
LASIGE: using Conditional Random Fields and ChEBI ontology
Tiago Grego
|
Francisco Pinto
|
Francisco M. Couto
UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing
Majid Rastegar-Mojarad
|
Richard D. Boyce
|
Rashmi Prasad
SCAI: Extracting drug-drug interactions using a rich feature vector
Tamara Bobić
|
Juliane Fluck
|
Martin Hofmann-Apitius
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
UoS: A Graph-Based System for Graded Word Sense Induction
David Hope
|
Bill Keller