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Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
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 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity

S13-1 [bib]: Entire volume

S13-1000: Front Matter

S13-1001 [bib]: Edward Grefenstette
Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors

S13-1002 [bib]: Islam Beltagy; Cuong Chau; Gemma Boleda; Dan Garrette; Katrin Erk; Raymond Mooney
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form

S13-1003 [bib]: Hui Shen; Razvan Bunescu; Rada Mihalcea
Coarse to Fine Grained Sense Disambiguation in Wikipedia

S13-1004 [bib]: Eneko Agirre; Daniel Cer; Mona Diab; Aitor Gonzalez-Agirre; Weiwei Guo
*SEM 2013 shared task: Semantic Textual Similarity

S13-1005 [bib]: Lushan Han; Abhay L. Kashyap; Tim Finin; James Mayfield; Jonathan Weese
UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems

S13-1006 [bib]: Aliaksei Severyn; Massimo Nicosia; Alessandro Moschitti
iKernels-Core: Tree Kernel Learning for Textual Similarity

S13-1007 [bib]: Danilo Croce; Valerio Storch; Roberto Basili
UNITOR-CORE_TYPED: Combining Text Similarity and Semantic Filters through SV Regression

S13-1008 [bib]: Erwin Marsi; Hans Moen; Lars Bungum; Gleb Sizov; Björn Gambäck; André Lynum
NTNU-CORE: Combining strong features for semantic similarity

S13-1009 [bib]: Sai Wang; Ru Li; Ruibo Wang; Zhiqiang Wang; Xia Zhang
SXUCFN-Core: STS Models Integrating FrameNet Parsing Information

S13-1010 [bib]: Judita Preiss; Mark Stevenson
Distinguishing Common and Proper Nouns

S13-1011 [bib]: Tamara Polajnar; Laura Rimell; Douwe Kiela
UCAM-CORE: Incorporating structured distributional similarity into STS

S13-1012 [bib]: Jian Xu; Qin Lu
PolyUCOMP-CORE_TYPED: Computing Semantic Textual Similarity using Overlapped Senses

S13-1013 [bib]: Michael Heilman; Nitin Madnani
HENRY-CORE: Domain Adaptation and Stacking for Text Similarity

S13-1014 [bib]: Nikolaos Malandrakis; Elias Iosif; Vassiliki Prokopi; Alexandros Potamianos; Shrikanth Narayanan
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation

S13-1015 [bib]: Alexander Chávez; Héctor Dávila; Yoan Gutiérrez; Armando Collazo; José I. Abreu; Antonio Fernández Orquín; Andrés Montoyo; Rafael Muñoz
UMCC_DLSI: Textual Similarity based on Lexical-Semantic features

S13-1016 [bib]: Lubomir Otrusina; Pavel Smrz
BUT-TYPED: Using domain knowledge for computing typed similarity

S13-1017 [bib]: Zhu Tiantian; Man Lan
ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements

S13-1018 [bib]: Eneko Agirre; Nikolaos Aletras; Aitor Gonzalez-Agirre; German Rigau; Mark Stevenson
UBC_UOS-TYPED: Regression for typed-similarity

S13-1019 [bib]: Hermann Ziak; Roman Kern
KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases

S13-1020 [bib]: Alberto Barrón-Cedeño; Lluís Màrquez; Maria Fuentes; Horacio Rodriguez; Jordi Turmo
UPC-CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity?

S13-1021 [bib]: Stephen Wu; Dongqing Zhu; Ben Carterette; Hongfang Liu
MayoClinicNLP–CORE: Semantic representations for textual similarity

S13-1022 [bib]: Eric Yeh
SRIUBC-Core: Multiword Soft Similarity Models for Textual Similarity

S13-1023 [bib]: Davide Buscaldi; Joseph Le Roux; Jorge J. Garcia Flores; Adrian Popescu
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features

S13-1024 [bib]: Annalina Caputo; Pierpaolo Basile; Giovanni Semeraro
UNIBA-CORE: Combining Strategies for Semantic Textual Similarity

S13-1025 [bib]: Md. Sultan; Steven Bethard; Tamara Sumner
DLS$@$CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity

S13-1026 [bib]: Paul Greiner; Thomas Proisl; Stefan Evert; Besim Kabashi
KLUE-CORE: A regression model of semantic textual similarity

S13-1027 [bib]: Sara Noeman
IBM_EG-CORE: Comparing multiple Lexical and NE matching features in measuring Semantic Textual similarity

S13-1028 [bib]: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity

S13-1029 [bib]: Ehsan Shareghi; Sabine Bergler
CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity

S13-1030 [bib]: Spandana Gella; Bahar Salehi; Marco Lui; Karl Grieser; Paul Cook; Timothy Baldwin
UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity

S13-1031 [bib]: Avishek Dan; Pushpak Bhattacharyya
CFILT-CORE: Semantic Textual Similarity using Universal Networking Language

S13-1032 [bib]: Carmen Banea; Yoonjung Choi; Lingjia Deng; Samer Hassan; Michael Mohler; Bishan Yang; Claire Cardie; Rada Mihalcea; Jan Wiebe
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge

S13-1033 [bib]: Fernando Sánchez-Vega; Manuel Montes-y-Gómez; Paolo Rosso; Luis Villaseñor-Pineda
INAOE_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity

S13-1034 [bib]: Ergun Bicici; Josef Van Genabith
CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity

S13-1035 [bib]: Yoav Goldberg; Jon Orwant
A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books

S13-1036 [bib]: Spandana Gella; Paul Cook; Bo Han
Unsupervised Word Usage Similarity in Social Media Texts

S13-1037 [bib]: David Forsyth
More Words and Bigger Pictures

S13-1038 [bib]: Sabine Schulte im Walde; Stefan Müller; Stefan Roller
Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun Compounds

S13-1039 [bib]: Bahar Salehi; Paul Cook
Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages

S13-1040 [bib]: Ekaterina Shutova
Metaphor Identification as Interpretation

S13-1041 [bib]: Andrea Horbach; Alexis Palmer; Manfred Pinkal
Using the text to evaluate short answers for reading comprehension exercises

S13-1042 [bib]: Hansen Andrew Schwartz; Johannes Eichstaedt; Eduardo Blanco; Lukasz Dziurzyński; Margaret L. Kern; Stephanie Ramones; Martin Seligman; Lyle Ungar
Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach

S13-1043 [bib]: Michael Roth; Anette Frank
Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence Modeling

S13-1044 [bib]: Mikhail Kozhevnikov; Ivan Titov
Bootstrapping Semantic Role Labelers from Parallel Data

S13-1045 [bib]: Qingqing Cai; Alexander Yates
Semantic Parsing Freebase: Towards Open-domain Semantic Parsing

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

S13-2 [bib]: Entire volume

S13-2000: Front Matter

S13-2001 [bib]: Naushad UzZaman; Hector Llorens; Leon Derczynski; James Allen; Marc Verhagen; James Pustejovsky
SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations

S13-2002 [bib]: Steven Bethard
ClearTK-TimeML: A minimalist approach to TempEval 2013

S13-2003 [bib]: Jannik Strötgen; Julian Zell; Michael Gertz
HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3

S13-2004 [bib]: Hyuckchul Jung; Amanda Stent
ATT1: Temporal Annotation Using Big Windows and Rich Syntactic and Semantic Features

S13-2005 [bib]: Matteo Negri; Alessandro Marchetti; Yashar Mehdad; Luisa Bentivogli; Danilo Giampiccolo
Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization

S13-2006 [bib]: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT

S13-2007 [bib]: Ioannis Korkontzelos; Torsten Zesch; Fabio Massimo Zanzotto; Chris Biemann
SemEval-2013 Task 5: Evaluating Phrasal Semantics

S13-2008 [bib]: Christian Wartena
HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures

S13-2009 [bib]: Michele Filannino; Gavin Brown; Goran Nenadic
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge

S13-2010 [bib]: Vanni Zavarella; Hristo Tanev
FSS-TimEx for TempEval-3: Extracting Temporal Information from Text

S13-2011 [bib]: Anup Kumar Kolya; Amitava Kundu; Rajdeep Gupta; Asif Ekbal; Sivaji Bandyopadhyay
JU_CSE: A CRF Based Approach to Annotation of Temporal Expression, Event and Temporal Relations

S13-2012 [bib]: Nate Chambers
NavyTime: Event and Time Ordering from Raw Text

S13-2013 [bib]: Angel Chang; Christopher D. Manning
SUTime: Evaluation in TempEval-3

S13-2014 [bib]: Oleksandr Kolomiyets; Marie-Francine Moens
KUL: Data-driven Approach to Temporal Parsing of Newswire Articles

S13-2015 [bib]: Natsuda Laokulrat; Makoto Miwa; Yoshimasa Tsuruoka; Takashi Chikayama
UTTime: Temporal Relation Classification using Deep Syntactic Features

S13-2016 [bib]: Héctor Dávila; Antonio Fernández Orquín; Alexander Chávez; Yoan Gutiérrez; Armando Collazo; José I. Abreu; Andrés Montoyo; Rafael Muñoz
UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance

S13-2017 [bib]: Tim Van de Cruys; Stergos Afantenos; Philippe Muller
MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting

S13-2018 [bib]: Lorna Byrne; Caroline Fenlon; John Dunnion
IIRG: A Naive Approach to Evaluating Phrasal Semantics

S13-2019 [bib]: Reda Siblini; Leila Kosseim
ClaC: Semantic Relatedness of Words and Phrases

S13-2020 [bib]: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags

S13-2021 [bib]: Jiang Zhao; Man Lan; Zheng-Yu Niu
ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures

S13-2022 [bib]: Darnes Vilariño; David Pinto; Saul León; Yuridiana Aleman; Helena Gómez
BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task

S13-2023 [bib]: Marco Turchi; Matteo Negri
ALTN: Word Alignment Features for Cross-lingual Textual Entailment

S13-2024 [bib]: Yvette Graham; Bahar Salehi; Timothy Baldwin
Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features

S13-2025 [bib]: Iris Hendrickx; Zornitsa Kozareva; Preslav Nakov; Diarmuid Ó Séaghdha; Stan Szpakowicz; Tony Veale
SemEval-2013 Task 4: Free Paraphrases of Noun Compounds

S13-2026 [bib]: Tim Van de Cruys; Stergos Afantenos; Philippe Muller
MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds

S13-2027 [bib]: Yannick Versley
SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking

S13-2028 [bib]: Nitesh Surtani; Arpita Batra; Urmi Ghosh; Soma Paul
IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing

S13-2029 [bib]: Els Lefever; Véronique Hoste
SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation

S13-2030 [bib]: Liling Tan; Francis Bond
XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD

S13-2031 [bib]: Alex Rudnick; Can Liu; Michael Gasser
HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10

S13-2032 [bib]: Marianna Apidianaki
LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering

S13-2033 [bib]: Maarten van Gompel; Antal van den Bosch
WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation

S13-2034 [bib]: Marine Carpuat
NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)

S13-2035 [bib]: Roberto Navigli; Daniele Vannella
SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application

S13-2036 [bib]: Ted Pedersen
Duluth : Word Sense Induction Applied to Web Page Clustering

S13-2037 [bib]: Satyabrata Behera; Upasana Gaikwad; Ramakrishna Bairi; Ganesh Ramakrishnan
SATTY : Word Sense Induction Application in Web Search Clustering

S13-2038 [bib]: Hans-Peter Zorn; Iryna Gurevych
UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description

S13-2039 [bib]: Jey Han Lau; Paul Cook; Timothy Baldwin
unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering

S13-2040 [bib]: Roberto Navigli; David Jurgens; Daniele Vannella
SemEval-2013 Task 12: Multilingual Word Sense Disambiguation

S13-2041 [bib]: Didier Schwab; Andon Tchechmedjiev; Jérôme Goulian; Mohammad Nasiruddin; Gilles Sérasset; Hervé Blanchon
GETALP System : Propagation of a Lesk Measure through an Ant Colony Algorithm

S13-2042 [bib]: 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
UMCC_DLSI: Reinforcing a Ranking Algorithm with Sense Frequencies and Multidimensional Semantic Resources to solve Multilingual Word Sense Disambiguation

S13-2043 [bib]: Steve L. Manion; Raazesh Sainudiin
DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation

S13-2044 [bib]: Oleksandr Kolomiyets; Parisa Kordjamshidi; Marie-Francine Moens; Steven Bethard
SemEval-2013 Task 3: Spatial Role Labeling

S13-2045 [bib]: Myroslava Dzikovska; Rodney Nielsen; Chris Brew; Claudia Leacock; Danilo Giampiccolo; Luisa Bentivogli; Peter Clark; Ido Dagan; Hoa Trang Dang
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge

S13-2046 [bib]: Michael Heilman; Nitin Madnani
ETS: Domain Adaptation and Stacking for Short Answer Scoring

S13-2047 [bib]: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis

S13-2048 [bib]: Omer Levy; Torsten Zesch; Ido Dagan; Iryna Gurevych
UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis

S13-2049 [bib]: David Jurgens; Ioannis Klapaftis
SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses

S13-2050 [bib]: Osman Baskaya; Enis Sert; Volkan Cirik; Deniz Yuret
AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation

S13-2051 [bib]: Jey Han Lau; Paul Cook; Timothy Baldwin
unimelb: Topic Modelling-based Word Sense Induction

S13-2052 [bib]: Preslav Nakov; Sara Rosenthal; Zornitsa Kozareva; Veselin Stoyanov; Alan Ritter; Theresa Wilson
SemEval-2013 Task 2: Sentiment Analysis in Twitter

S13-2053 [bib]: Saif Mohammad; Svetlana Kiritchenko; Xiaodan Zhu
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets

S13-2054 [bib]: Tobias Günther; Lenz Furrer
GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent

S13-2055 [bib]: Lee Becker; George Erhart; David Skiba; Valentine Matula
AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion

S13-2056 [bib]: Isabel Segura-Bedmar; Paloma Martínez; María Herrero Zazo
SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)

S13-2057 [bib]: Md. Faisal Mahbub Chowdhury; Alberto Lavelli
FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information

S13-2058 [bib]: Tim Rocktäschel; Torsten Huber; Michael Weidlich; Ulf Leser
WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs

S13-2059 [bib]: Mohamed Dermouche; Leila Khouas; Julien Velcin; Sabine Loudcher
AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis

S13-2060 [bib]: Giuseppe Castellucci; Simone Filice; Danilo Croce; Roberto Basili
UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis

S13-2061 [bib]: Tawunrat Chalothorn; Jeremy Ellman
TJP: Using Twitter to Analyze the Polarity of Contexts

S13-2062 [bib]: Hamid Poursepanj; Josh Weissbock; Diana Inkpen
uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter

S13-2063 [bib]: Zhemin Zhu; Djoerd Hiemstra; Peter Apers; Andreas Wombacher
UT-DB: An Experimental Study on Sentiment Analysis in Twitter

S13-2064 [bib]: Ganesh Harihara; Eugene Yang; Nate Chambers
USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis

S13-2065 [bib]: Thomas Proisl; Paul Greiner; Stefan Evert; Besim Kabashi
KLUE: Simple and robust methods for polarity classification

S13-2066 [bib]: Eugenio Martínez-Cámara; Arturo Montejo-Ráez; M. Teresa Martín-Valdivia; L. Alfonso Ureña-López
SINAI: Machine Learning and Emotion of the Crowd for Sentiment Analysis in Microblogs

S13-2067 [bib]: Zhu Tiantian; Zhang Fangxi; Man Lan
ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)

S13-2068 [bib]: Clement Levallois
Umigon: sentiment analysis for tweets based on terms lists and heuristics

S13-2069 [bib]: Morgane Marchand; Alexandru Ginsca; Romaric Besançon; Olivier Mesnard
[LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter

S13-2070 [bib]: Sam Clark; Rich Wicentwoski
SwatCS: Combining simple classifiers with estimated accuracy

S13-2071 [bib]: Øyvind Selmer; Mikael Brevik; Björn Gambäck; Lars Bungum
NTNU: Domain Semi-Independent Short Message Sentiment Classification

S13-2072 [bib]: Nikolaos Malandrakis; Abe Kazemzadeh; Alexandros Potamianos; Shrikanth Narayanan
SAIL: A hybrid approach to sentiment analysis

S13-2073 [bib]: Yoan Gutiérrez; Andy González; Roger Pérez; José I. Abreu; Antonio Fernández Orquín; Alejandro Mosquera; Andrés Montoyo; Rafael Muñoz; Franc Camara
UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter

S13-2074 [bib]: Robert Remus
ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques

S13-2075 [bib]: Hussam Hamdan; Frederic Béchet; Patrice Bellot
Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging

S13-2076 [bib]: Alexandra Balahur
OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts

S13-2077 [bib]: Md. Faisal Mahbub Chowdhury; Marco Guerini; Sara Tonelli; Alberto Lavelli
FBK: Sentiment Analysis in Twitter with Tweetsted

S13-2078 [bib]: Gizem Gezici; Rahim Dehkharghani; Berrin Yanikoglu; Dilek Tapucu; Yucel Saygin
SU-Sentilab : A Classification System for Sentiment Analysis in Twitter

S13-2079 [bib]: Sara Rosenthal; Kathy McKeown
Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media

S13-2080 [bib]: Carlos Rodriguez-Penagos; Jordi Atserias Batalla; Joan Codina-Filbà; David García-Narbona; Jens Grivolla; Patrik Lambert; Roser Saurí
FBM: Combining lexicon-based ML and heuristics for Social Media Polarities

S13-2081 [bib]: Silvio Moreira; João Filgueiras; Bruno Martins; Francisco Couto; Mário J. Silva
REACTION: A naive machine learning approach for sentiment classification

S13-2082 [bib]: Karan Chawla; Ankit Ramteke; Pushpak Bhattacharyya
IITB-Sentiment-Analysts: Participation in Sentiment Analysis in Twitter SemEval 2013 Task

S13-2083 [bib]: Reynier Ortega Bueno; Adrian Fonseca Bruzón; Yoan Gutiérrez; Andres Montoyo
SSA-UO: Unsupervised Sentiment Analysis in Twitter

S13-2084 [bib]: José Saias; Hilário Fernandes
senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task

S13-2085 [bib]: Hilke Reckman; Cheyanne Baird; Jean Crawford; Richard Crowell; Linnea Micciulla; Saratendu Sethi; Fruzsina Veress
teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis

S13-2086 [bib]: Qi Han; Junfei Guo; Hinrich Schuetze
CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text

S13-2087 [bib]: Harshit Jain; Aditya Mogadala; Vasudeva Varma
sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data

S13-2088 [bib]: Ameeta Agrawal; Aijun An
Kea: Expression-level Sentiment Analysis from Twitter Data

S13-2089 [bib]: Sapna Negi; Michael Rosner
UoM: Using Explicit Semantic Analysis for Classifying Sentiments

S13-2090 [bib]: Wesley Baugh
bwbaugh : Hierarchical sentiment analysis with partial self-training

S13-2091 [bib]: Prabu palanisamy; Vineet Yadav; Harsha Elchuri
Serendio: Simple and Practical lexicon based approach to Sentiment Analysis

S13-2092 [bib]: Viktor Hangya; Gabor Berend; Richárd Farkas
SZTE-NLP: Sentiment Detection on Twitter Messages

S13-2093 [bib]: Nadin Kökciyan; Arda Çelebi; Arzucan Özgür; Suzan Üsküdarlı
BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets

S13-2094 [bib]: Prodromos Malakasiotis; Rafael Michael Karampatsis; Konstantina Makrynioti; John Pavlopoulos
nlp.cs.aueb.gr: Two Stage Sentiment Analysis

S13-2095 [bib]: Pedro Balage Filho; Thiago Pardo
NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages

S13-2096 [bib]: Emanuele Bastianelli; Danilo Croce; Roberto Basili; Daniele Nardi
UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling

S13-2097 [bib]: Itziar Aldabe; Montse Maritxalar; Oier Lopez de Lacalle
EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis

S13-2098 [bib]: Ergun Bicici; Josef van Genabith
CNGL: Grading Student Answers by Acts of Translation

S13-2099 [bib]: Milen Kouylekov; Luca Dini; Alessio Bosca; Marco Trevisan
Celi: EDITS and Generic Text Pair Classification

S13-2100 [bib]: Martin Gleize; Brigitte Grau
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013

S13-2101 [bib]: IFEYINWA OKOYE; Steven Bethard; Tamara Sumner
CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students' Understanding

S13-2102 [bib]: Niels Ott; Ramon Ziai; Michael Hahn; Detmar Meurers
CoMeT: Integrating different levels of linguistic modeling for meaning assessment

S13-2103 [bib]: Daniel Sanchez-Cisneros
UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.

S13-2104 [bib]: Daniel Sanchez-Cisneros; Fernando Aparicio Gali
UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.

S13-2105 [bib]: Philippe Thomas; Mariana Neves; Tim Rocktäschel; Ulf Leser
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting

S13-2106 [bib]: Armando Collazo; Alberto Ceballo; Dennys D. Puig; Yoan Gutiérrez; José I. Abreu; Roger Pérez; Antonio Fernández Orquín; Andrés Montoyo; Rafael Muñoz; Franc Camara
UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts

S13-2107 [bib]: Behrouz Bokharaeian; ALBERTO DIAZ
NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels

S13-2108 [bib]: Jari Björne; Suwisa Kaewphan; Tapio Salakoski
UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge

S13-2109 [bib]: Tiago Grego; Francisco Pinto; Francisco M Couto
LASIGE: using Conditional Random Fields and ChEBI ontology

S13-2110 [bib]: Majid Rastegar-Mojarad; Richard D. Boyce; Rashmi Prasad
UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing

S13-2111 [bib]: Tamara Bobic; Juliane Fluck; Martin Hofmann-Apitius
SCAI: Extracting drug-drug interactions using a rich feature vector

S13-2112 [bib]: Negacy Hailu; Lawrence E. Hunter; K. Bretonnel Cohen
UColorado_SOM: Extraction of Drug-Drug Interactions from Biomedical Text using Knowledge-rich and Knowledge-poor Features

S13-2113 [bib]: David Hope; Bill Keller
UoS: A Graph-Based System for Graded Word Sense Induction