Lexical and Computational Semantics and Semantic Evaluation (formerly Workshop on Sense Evaluation) (2013)
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
Suresh Manandhar
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Deniz Yuret
SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations
Naushad UzZaman
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Hector Llorens
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Leon Derczynski
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James Allen
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Marc Verhagen
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James Pustejovsky
ClearTK-TimeML: A minimalist approach to TempEval 2013
Steven Bethard
HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3
Jannik Strötgen
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Julian Zell
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Michael Gertz
ATT1: Temporal Annotation Using Big Windows and Rich Syntactic and Semantic Features
Hyuckchul Jung
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Amanda Stent
Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization
Matteo Negri
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Alessandro Marchetti
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Yashar Mehdad
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Luisa Bentivogli
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Danilo Giampiccolo
SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT
Sergio Jimenez
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Claudia Becerra
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Alexander Gelbukh
SemEval-2013 Task 5: Evaluating Phrasal Semantics
Ioannis Korkontzelos
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Torsten Zesch
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Fabio Massimo Zanzotto
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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
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Gavin Brown
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Goran Nenadic
FSS-TimEx for TempEval-3: Extracting Temporal Information from Text
Vanni Zavarella
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Hristo Tanev
JU_CSE: A CRF Based Approach to Annotation of Temporal Expression, Event and Temporal Relations
Anup Kumar Kolya
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Amitava Kundu
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Rajdeep Gupta
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Asif Ekbal
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Sivaji Bandyopadhyay
NavyTime: Event and Time Ordering from Raw Text
Nathanael Chambers
SUTime: Evaluation in TempEval-3
Angel Chang
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Christopher D. Manning
KUL: Data-driven Approach to Temporal Parsing of Newswire Articles
Oleksandr Kolomiyets
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Marie-Francine Moens
UTTime: Temporal Relation Classification using Deep Syntactic Features
Natsuda Laokulrat
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Makoto Miwa
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Yoshimasa Tsuruoka
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Takashi Chikayama
UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance
Héctor Dávila
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Antonio Fernández Orquín
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Alexander Chávez
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Yoan Gutiérrez
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Armando Collazo
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José I. Abreu
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Andrés Montoyo
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Rafael Muñoz
MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting
Tim Van de Cruys
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Stergos Afantenos
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Philippe Muller
IIRG: A Naive Approach to Evaluating Phrasal Semantics
Lorna Byrne
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Caroline Fenlon
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John Dunnion
ClaC: Semantic Relatedness of Words and Phrases
Reda Siblini
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Leila Kosseim
UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags
Sergio Jimenez
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Claudia Becerra
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Alexander Gelbukh
ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures
Jiang Zhao
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Man Lan
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Zheng-Yu Niu
BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task
Darnes Vilariño
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David Pinto
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Saúl León
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Yuridiana Alemán
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Helena Gómez
ALTN: Word Alignment Features for Cross-lingual Textual Entailment
Marco Turchi
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Matteo Negri
Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features
Yvette Graham
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Bahar Salehi
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Timothy Baldwin
SemEval-2013 Task 4: Free Paraphrases of Noun Compounds
Iris Hendrickx
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Zornitsa Kozareva
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Preslav Nakov
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Diarmuid Ó Séaghdha
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Stan Szpakowicz
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Tony Veale
MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds
Tim Van de Cruys
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Stergos Afantenos
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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
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Arpita Batra
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Urmi Ghosh
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Soma Paul
SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation
Els Lefever
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Véronique Hoste
XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD
Liling Tan
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Francis Bond
HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10
Alex Rudnick
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Can Liu
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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
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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
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Daniele Vannella
Duluth : Word Sense Induction Applied to Web Page Clustering
Ted Pedersen
SATTY : Word Sense Induction Application in Web Search Clustering
Satyabrata Behera
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Upasana Gaikwad
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Ramakrishna Bairi
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Ganesh Ramakrishnan
UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description
Hans-Peter Zorn
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Iryna Gurevych
unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering
Jey Han Lau
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Paul Cook
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Timothy Baldwin
SemEval-2013 Task 12: Multilingual Word Sense Disambiguation
Roberto Navigli
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David Jurgens
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Daniele Vannella
GETALP System : Propagation of a Lesk Measure through an Ant Colony Algorithm
Didier Schwab
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Andon Tchechmedjiev
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Jérôme Goulian
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Mohammad Nasiruddin
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Gilles Sérasset
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Hervé Blanchon
UMCC_DLSI: Reinforcing a Ranking Algorithm with Sense Frequencies and Multidimensional Semantic Resources to solve Multilingual Word Sense Disambiguation
Yoan Gutiérrez
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Yenier Castañeda
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Andy González
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Rainel Estrada
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Dennys D. Piug
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Jose I. Abreu
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Roger Pérez
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Antonio Fernández Orquín
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Andrés Montoyo
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Rafael Muñoz
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Franc Camara
DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation
Steve L. Manion
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Raazesh Sainudiin
SemEval-2013 Task 3: Spatial Role Labeling
Oleksandr Kolomiyets
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Parisa Kordjamshidi
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Marie-Francine Moens
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Steven Bethard
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge
Myroslava Dzikovska
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Rodney Nielsen
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Chris Brew
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Claudia Leacock
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Danilo Giampiccolo
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Luisa Bentivogli
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Peter Clark
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Ido Dagan
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Hoa Trang Dang
ETS: Domain Adaptation and Stacking for Short Answer Scoring
Michael Heilman
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Nitin Madnani
SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis
Sergio Jimenez
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Claudia Becerra
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Alexander Gelbukh
UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis
Omer Levy
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Torsten Zesch
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Ido Dagan
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Iryna Gurevych
SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses
David Jurgens
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Ioannis Klapaftis
AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation
Osman Başkaya
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Enis Sert
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Volkan Cirik
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Deniz Yuret
unimelb: Topic Modelling-based Word Sense Induction
Jey Han Lau
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Paul Cook
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Timothy Baldwin
SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov
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Sara Rosenthal
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Zornitsa Kozareva
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Veselin Stoyanov
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Alan Ritter
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Theresa Wilson
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
Saif Mohammad
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Svetlana Kiritchenko
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Xiaodan Zhu
GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent
Tobias Günther
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Lenz Furrer
AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion
Lee Becker
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George Erhart
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David Skiba
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Valentine Matula
SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)
Isabel Segura-Bedmar
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Paloma Martínez
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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
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Alberto Lavelli
WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs
Tim Rocktäschel
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Torsten Huber
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Michael Weidlich
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Ulf Leser
AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis
Mohamed Dermouche
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Leila Khouas
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Julien Velcin
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Sabine Loudcher
UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis
Giuseppe Castellucci
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Simone Filice
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Danilo Croce
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Roberto Basili
TJP: Using Twitter to Analyze the Polarity of Contexts
Tawunrat Chalothorn
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Jeremy Ellman
uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter
Hamid Poursepanj
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Josh Weissbock
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Diana Inkpen
UT-DB: An Experimental Study on Sentiment Analysis in Twitter
Zhemin Zhu
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Djoerd Hiemstra
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Peter Apers
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Andreas Wombacher
USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis
Ganesh Harihara
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Eugene Yang
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Nathanael Chambers
KLUE: Simple and robust methods for polarity classification
Thomas Proisl
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Paul Greiner
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Stefan Evert
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Besim Kabashi
SINAI: Machine Learning and Emotion of the Crowd for Sentiment Analysis in Microblogs
Eugenio Martínez-Cámara
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Arturo Montejo-Ráez
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M. Teresa Martín-Valdivia
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L. Alfonso Ureña-López
ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)
Tiantian Zhu
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Fangxi Zhang
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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
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Alexandru Ginsca
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Romaric Besançon
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Olivier Mesnard
SwatCS: Combining simple classifiers with estimated accuracy
Sam Clark
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Rich Wicentwoski
NTNU: Domain Semi-Independent Short Message Sentiment Classification
Øyvind Selmer
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Mikael Brevik
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Björn Gambäck
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Lars Bungum
SAIL: A hybrid approach to sentiment analysis
Nikolaos Malandrakis
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Abe Kazemzadeh
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Alexandros Potamianos
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Shrikanth Narayanan
UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter
Yoan Gutiérrez
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Andy González
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Roger Pérez
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José I. Abreu
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Antonio Fernández Orquín
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Alejandro Mosquera
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Andrés Montoyo
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Rafael Muñoz
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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
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Frederic Béchet
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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
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Marco Guerini
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Sara Tonelli
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Alberto Lavelli
SU-Sentilab : A Classification System for Sentiment Analysis in Twitter
Gizem Gezici
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Rahim Dehkharghani
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Berrin Yanikoglu
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Dilek Tapucu
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Yucel Saygin
Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media
Sara Rosenthal
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Kathy McKeown
FBM: Combining lexicon-based ML and heuristics for Social Media Polarities
Carlos Rodríguez-Penagos
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Jordi Atserias Batalla
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Joan Codina-Filbà
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David García-Narbona
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Jens Grivolla
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Patrik Lambert
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Roser Saurí
REACTION: A naive machine learning approach for sentiment classification
Silvio Moreira
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João Filgueiras
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Bruno Martins
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Francisco Couto
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Mário J. Silva
IITB-Sentiment-Analysts: Participation in Sentiment Analysis in Twitter SemEval 2013 Task
Karan Chawla
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Ankit Ramteke
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Pushpak Bhattacharyya
SSA-UO: Unsupervised Sentiment Analysis in Twitter
Reynier Ortega Bueno
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Adrian Fonseca Bruzón
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Yoan Gutiérrez
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Andrés Montoyo
senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task
José Saias
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Hilário Fernandes
teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis
Hilke Reckman
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Cheyanne Baird
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Jean Crawford
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Richard Crowell
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Linnea Micciulla
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Saratendu Sethi
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Fruzsina Veress
CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text
Qi Han
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Junfei Guo
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Hinrich Schuetze
sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data
Harshit Jain
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Aditya Mogadala
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Vasudeva Varma
Kea: Expression-level Sentiment Analysis from Twitter Data
Ameeta Agrawal
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Aijun An
UoM: Using Explicit Semantic Analysis for Classifying Sentiments
Sapna Negi
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Michael Rosner
bwbaugh : Hierarchical sentiment analysis with partial self-training
Wesley Baugh
Serendio: Simple and Practical lexicon based approach to Sentiment Analysis
Prabu Palanisamy
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Vineet Yadav
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Harsha Elchuri
SZTE-NLP: Sentiment Detection on Twitter Messages
Viktor Hangya
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Gábor Berend
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Richárd Farkas
BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets
Nadin Kökciyan
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Arda Çelebi
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Arzucan Özgür
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Suzan Üsküdarlı
nlp.cs.aueb.gr: Two Stage Sentiment Analysis
Prodromos Malakasiotis
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Rafael Michael Karampatsis
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Konstantina Makrynioti
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John Pavlopoulos
NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
Pedro Balage Filho
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Thiago Pardo
UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling
Emanuele Bastianelli
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Danilo Croce
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Roberto Basili
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Daniele Nardi
EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
Itziar Aldabe
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Montse Maritxalar
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Oier Lopez de Lacalle
CNGL: Grading Student Answers by Acts of Translation
Ergun Biçici
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Josef van Genabith
Celi: EDITS and Generic Text Pair Classification
Milen Kouylekov
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Luca Dini
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Alessio Bosca
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Marco Trevisan
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013
Martin Gleize
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Brigitte Grau
CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students’ Understanding
Ifeyinwa Okoye
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Steven Bethard
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Tamara Sumner
CoMeT: Integrating different levels of linguistic modeling for meaning assessment
Niels Ott
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Ramon Ziai
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Michael Hahn
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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
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Fernando Aparicio Gali
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting
Philippe Thomas
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Mariana Neves
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Tim Rocktäschel
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Ulf Leser
UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts
Armando Collazo
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Alberto Ceballo
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Dennys D. Puig
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Yoan Gutiérrez
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José I. Abreu
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Roger Pérez
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Antonio Fernández Orquín
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Andrés Montoyo
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Rafael Muñoz
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Franc Camara
NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels
Behrouz Bokharaeian
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Alberto Díaz
UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge
Jari Björne
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Suwisa Kaewphan
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Tapio Salakoski
LASIGE: using Conditional Random Fields and ChEBI ontology
Tiago Grego
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Francisco Pinto
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Francisco M. Couto
UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing
Majid Rastegar-Mojarad
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Richard D. Boyce
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Rashmi Prasad
SCAI: Extracting drug-drug interactions using a rich feature vector
Tamara Bobić
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Juliane Fluck
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Martin Hofmann-Apitius
UColorado_SOM: Extraction of Drug-Drug Interactions from Biomedical Text using Knowledge-rich and Knowledge-poor Features
Negacy Hailu
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Lawrence E. Hunter
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K. Bretonnel Cohen
UoS: A Graph-Based System for Graded Word Sense Induction
David Hope
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Bill Keller