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SemEval-2

Evaluation Exercises on Semantic Evaluation - ACL SigLex event

2010

SemEval 2010: Workshop Program

SemEval 2010: Program

Thursday 15-7-2010
09:00-10:40    Task description papers
   SemEval-2010 Task 1: Coreference Resolution in Multiple Languages
Marta Recasens1,  Lluís Màrquez2,  Emili Sapena2,  M. Antònia Martí1,  Mariona Taulé1,  Véronique Hoste3,  Massimo Poesio4,  Yannick Versley5
1University of Barcelona, 2Technical University of Catalonia, 3University College Ghent, 4University of Essex/University of Trento, 5University of Tübingen
   SemEval-2010 Task 2: Cross-Lingual Lexical Substitution
Rada Mihalcea1,  Ravi Sinha1,  Diana McCarthy2
1University of North Texas, 2Lexical Computing Ltd.
   SemEval-2010 Task 3: Cross-Lingual Word Sense Disambiguation
Els Lefever and Véronique Hoste
LT3, University College Ghent
   SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles
Su Nam Kim1,  Olena Medelyan2,  Min-Yen Kan3,  Timothy Baldwin1
1the University of Melbourne, 2Pingar LP, 3National University of Singapore
   SemEval-2010 Task 7: Argument Selection and Coercion
James Pustejovsky1,  Anna Rumshisky1,  Alex Plotnick1,  Elisabetta Jezek2,  Olga Batiukova3,  Valeria Quochi4
1Brandeis University, 2University of Pavia, 3Carlos III University of Madrid, 4ILC-CNR
11:00-12:40    Task description papers
   SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals
Iris Hendrickx1,  Su Nam Kim2,  Zornitsa Kozareva3,  Preslav Nakov4,  Diarmuid Ó Séaghdha5,  Sebastian Padó6,  Marco Pennacchiotti7,  Lorenza Romano8,  Stan Szpakowicz9
1University of Lisbon, 2University of Melbourne, 3Information Sciences Institute/University of Southern California, 4National University of Singapore, 5University of Cambridge, 6University of Stuttgart, 7Yahoo! Inc., 8Fondazione Bruno Kessler, 9University of Ottawa
   SemEval-2 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions
Cristina Butnariu1,  Su Nam Kim2,  Preslav Nakov3,  Diarmuid Ó Séaghdha4,  Stan Szpakowicz5,  Tony Veale1
1University College Dublin, 2University of Melbourne, 3National University of Singapore, 4University of Cambridge, 5University of Ottowa and Polish Academy of Sciences
   SemEval-2010 Task 10: Linking Events and Their Participants in Discourse
Josef Ruppenhofer1,  Caroline Sporleder1,  Roser Morante2,  Collin Baker3,  Martha Palmer4
1Saarland University, 2University of Antwerp, 3ICSI, Berkeley, 4University of Colorado at Boulder
   SemEval-2010 Task 12: Parser Evaluation using Textual Entailments
Deniz Yuret,  Aydin Han,  Zehra Turgut
Koc University
   SemEval-2010 Task 13: TempEval-2
Marc Verhagen1,  Roser Sauri2,  Tommaso Caselli3,  James Pustejovsky1
1Brandeis University, 2Barcelona Media, 3ILC-CNR
14:00-15:20    Task description papers
   SemEval-2010 Task 14: Word Sense Induction & Disambiguation
Suresh Manandhar1,  Ioannis Klapaftis1,  Dmitriy Dligach2,  Sameer Pradhan3
1University of York, 2University of Colorado, 3BBN Technologies
   SemEval-2010 Task: Japanese WSD
Manabu Okumura1,  Kiyoaki Shirai2,  Kanako Komiya3,  Hikaru Yokono1
1Tokyo Institute of Technology, 2Japan Advanced Institute of Science and Technology, 3Tokyo University of Agriculture and Technology
   SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain
Eneko Agirre1,  Oier Lopez de Lacalle1,  Christiane Fellbaum2,  Shu-Kai Hsieh3,  Maurizio Tesconi4,  Monica Monachini4,  Piek Vossen5,  Roxanne Segers5
1University of the Basque Country, 2Princeton University, 3National Taiwan Normal University, 4CNR, 5Vrije Universiteit Amsterdam
   SemEval-2010 Task 18: Disambiguating Sentiment Ambiguous Adjectives
Yunfang Wu1 and Peng Jin2
1Key Laboratory of Computational Linguistics (Peking University),Ministry of Education, China, 2Laboratory of Intelligent Information Processing and Application, Leshan Normal University, China
16:00-17:30    Task description posters
   SemEval-2010 Task 11: Event detection in Chinese news sentences
Qiang Zhou
Tsinghua University
   SemEval-2 Task 15: Infrequent Sense Identification for Mandarin Text to Speech Systems
Peng Jin1 and Yunfang Wu2
1Leshan Normal University, 2Peking University
16:00-17:30    Posters
   RelaxCor: A Global Relaxation Labeling Approach to Coreference Resolution
Emili Sapena,  Lluís Padró,  Jordi Turmo
UPC
   SUCRE: A Modular System for Coreference Resolution
Hamidreza Kobdani and Hinrich Schütze
Institute for Natural Language Processing, University of Stuttgart, Germany
   UBIU: A Language-Independent System for Coreference Resolution
Desislava Zhekova1 and Sandra Kübler2
1University of Bremen, 2Indiana University
   Corry: a System for Coreference Resolution
Olga Uryupina
University of Trento
   BART: A Multilingual Anaphora Resolution System
Samuel Broscheit1,  Massimo Poesio2,  Simone Paolo Ponzetto1,  Kepa Joseba Rodriguez2,  Lorenza Romano3,  Olga Uryupina2,  Yannick Versley4,  Roberto Zanoli3
1University of Heidelberg, 2University of Trento, 3Fondazione Bruno Kessler, 4University of Tuebingen
   TANL-1: Coreference Resolution by Parse Analysis and Similarity Clustering
Giuseppe Attardi,  Maria Simi,  Stefano Dei Rossi
Università di Pisa
   FCC: Modeling Probabilities with GIZA++ for Task #2 and #3 of SemEval-2
Darnes Vilariño Ayala,  Carlos Balderas Posada,  David Eduardo Pinto Avendaño,  Miguel Rodríguez Hernández,  Saul León Silverio
BUAP
   Combining Dictionaries and Contextual Information for Cross-Lingual Lexical Substitution
Wilker Aziz1 and Lucia Specia2
1University of Sao Paulo, 2University of Wolverhampton
   UvT-WSD1: a Cross-Lingual Word Sense Disambiguation system
Maarten van Gompel
Tilburg centre for Cognition and Communication, Tilburg University
   UHD: Cross-Lingual Word Sense Disambiguation Using Multilingual Co-occurrence Graphs
Carina Silberer and Simone Paolo Ponzetto
Heidelberg University
   OWNS: Cross-lingual Word Sense Disambiguation Using Weighted Overlap Counts and Wordnet Based Similarity Measures
Lipta Mahapatra1,  Meera Mohan1,  Mitesh Khapra2,  Pushpak Bhattacharyya2
1Dharamsinh Desai University, 2Indian Institute of Technology Bombay
   273. Task 5. Keyphrase Extraction Based on Core Word Identification and Word Expansion
You Ouyang,  Wenjie Li,  Renxian Zhang
The Hong Kong Polytechnic University
   DERIUNLP: A Context Based Approach to Automatic Keyphrase Extraction
Georgeta Bordea and Paul Buitelaar
Unit for Natural Language Processing, Digital Enterprise Research Institute, National University of Ireland, Galway
   DFKI KeyWE: Ranking keyphrases extracted from scientific articles
Kathrin Eichler and Günter Neumann
DFKI
   Single document keyphrase extraction using sentence clustering and Latent Dirichlet Allocation
Claude Pasquier
CNRS / University of Nice Sophia-Antipolis
   SJTULTLAB: Chunk Based Method for Keyphrase Extraction
Letian Wang and Fang Li
Shanghai Jiao Tong University
   Likey: Unsupervised Language-independent Keyphrase Extraction
Mari-Sanna Paukkeri and Timo Honkela
Aalto University School of Science and Technology
   WINGNUS: Keyphrase Extraction Utilizing Document Logical Structure
Thuy Dung Nguyen1 and Minh-Thang Luong2
1National Universityof Singapore, 2National University of Singapore
   KX: A flexible system for Keyphrase eXtraction
Emanuele Pianta and Sara Tonelli
Fondazione Bruno Kessler
   BUAP: An Unsupervised Approach to Automatic Keyphrase Extraction from Scientific Articles
Roberto Ortiz1,  David Pinto1,  Mireya Tovar1,  Héctor Jiménez-Salazar2
1Faculty of Computer Science, BUAP, 2Information Technologies Dept., UAM
   UNPMC: Naive Approach to Extract Keyphrases from Scientific Articles
Jungyeul Park1,  Jong Gun Lee2,  Béatrice Daille1
1LINA, Univ. de Nantes, 2LIP6, Univ. Paris 6
   SEERLAB: A System for Extracting Keyphrases from Scholarly Documents
Pucktada Treeratpituk,  Pradeep Teregowda,  Jian Huang,  C. Lee Giles
Penn State University
   SZTERGAK : Feature Engineering for Keyphrase Extraction
Gábor Berend1 and Richárd Farkas2
1University of Szeged, 2Hungarian Academy of Sciences
   KP-Miner: Participation in SemEval-2
Samhaa R. El-Beltagy1 and Ahmed Rafea2
1Cairo University, 2The American University in Cairo
   UvT: The UvT Term Extraction System in the Keyphrase Extraction task
Kalliopi Zervanou
University of Tilburg
   UNITN: Part-Of-Speech Counting in Relation Extraction
Fabio Celli
University of Trento
   FBK_NK: a WordNet-based System for Multi-Way Classification ofSemantic Relations
Matteo Negri and Milen Kouylekov
Fondazione Bruno Kessler
   JU: A Supervised Approach to Identify Semantic Relations from Paired Nominals
Santanu Pal,  Partha Pakray,  Dipankar Das,  Sivaji Bandyopadhyay
Department of Computer Science & Engineering, Jadavpur University, Kolkata, India
   FBK-IRST: Semantic Relation Extraction using Cyc
Kateryna Tymoshenko and Claudio Giuliano
FBK-IRST
   ISTI@SemEval-2 Task #8: Boosting-Based Multiway Relation Classification
Andrea Esuli,  Diego Marcheggiani,  Fabrizio Sebastiani
ISTI-CNR, Italy
   ISI: Automatic Classification of Relations Between Nominals Using a Maximum Entropy Classifier
Stephen Tratz and Eduard Hovy
Information Sciences Institute
   ECNU: Effective Semantic Relations Classification without Complicated Features or Multiple External Corpora
Yuan Chen1,  Man Lan1,  Jian Su2,  Zhi Min Zhou1,  Yu Xu1
1East China Normal University, 2Institute for Infocomm Research
   UCD-Goggle: A Hybrid System for Noun Compound Paraphrasing
Guofu Li,  Alejandra Lopez-Fernandez,  Tony Veale
University College Dublin
   UCD-PN: Selecting General Paraphrases Using Conditional Probability
Paul Nulty and Fintan Costello
UCD
Friday 16-7-2010
09:00-10:30    System papers
   COLEPL and COLSLM: An unsupervised WSD approach to Multilingual Lexical Substitution, Tasks 2 and 3 SemEval 2010
Weiwei Guo and Mona Diab
Columbia University
   UBA: Using Automatic Translation and Wikipedia for Cross-Lingual Lexical Substitution
Pierpaolo Basile and Giovanni Semeraro
University of Bari "Aldo Moro"
   HUMB: Automatic Key Term Extraction from Scientific Articles in GROBID
Patrice Lopez1 and Laurent Romary2
1INRIA, 2INRIA & Humboldt University
   UTDMet: Combining WordNet and Corpus Data for Argument Coercion Detection
Kirk Roberts and Sanda Harabagiu
University of Texas at Dallas
   UTD: Classifying Semantic Relations by Combining Lexical and Semantic Resources
Bryan Rink and Sanda Harabagiu
University of Texas at Dallas
   UvT: Memory-based pairwise ranking of paraphrasing verbs
Sander Wubben
Tilburg University
11:00-12:30    System papers
   SEMAFOR: Frame Argument Resolution with Log-Linear Models
Desai Chen,  Nathan Schneider,  Dipanjan Das,  Noah A. Smith
CMU
   Cambridge: Parser Evaluation using Textual Entailment by Grammatical Relation Comparison
Laura Rimell and Stephen Clark
University of Cambridge
   MARS: A Specialized RTE System for Parser Evaluation
Rui Wang1 and Yi Zhang2
1Saarland University, 2DFKI GmbH and Saarland University
   TRIPS and TRIOS System for TempEval-2: Extracting Temporal Information from Text
Naushad UzZaman and James Allen
University of Rochester
   TIPSem (English and Spanish): Evaluating CRFs and Semantic Roles in TempEval-2
Hector Llorens,  Estela Saquete,  Borja Navarro
University of Alicante
   CityU-DAC: Disambiguating Sentiment-Ambiguous Adjectives within Context
Bin LU and Benjamin K. Tsou
City University of Hong Kong
14:00-15:30    PANEL
16:00-17:30    Posters
   TUD: semantic relatedness for relation classification
György Szarvas and Iryna Gurevych
UKP Lab, Technische Universität Darmstadt, Germany
   SWAT: Cross-Lingual Lexical Substitution using Local Context Matching, Bilingual Dictionaries and Machine Translation
Richard Wicentowski,  Maria Kelly,  Rachel Lee
Swarthmore College
   VENSES++: Adapting a deep semantic processing system to the identification of null instantiations
Sara Tonelli1 and Rodolfo Delmonte2
1Fondazione Bruno Kessler, 2Università di Venezia
   CLR: Linking Events and Their Participants in Discourse Using a Comprehensive FrameNet Dictionary
Ken Litkowski
CL Research
   PKU_HIT: An Event Detection System Based on Instances Expansion and Rich Syntactic Features
Shiqi Li1,  Pengyuan Liu2,  Tiejun Zhao1,  Qin Lu3,  Hanjing Li1
1Harbin Institute of Technology, 2Peking University, 3The Hong Kong Polytechnic University
   372:Comparing the Benefit of Different Dependency Parsers for Textual Entailment Using Syntactic Constraints Only
Alexander Volokh and Günter Neumann
DFKI
   SCHWA: PETE using CCG Dependencies with the C&C Parser
Dominick Ng,  James W.D. Constable,  Matthew Honnibal,  James R. Curran
Schwa Lab, University of Sydney
   ID 392:TERSEO + T2T3 Transducer. A systems for recognizing and normalizing TIMEX3
Estela Saquete Boro
University of Alicante
   HeidelTime: High Quality Rule-based Extraction and Normalization of Temporal Expressions
Jannik Strötgen and Michael Gertz
University of Heidelberg
   KUL: Recognition and Normalization of Temporal Expressions
Oleksandr Kolomiyets and Marie-Francine Moens
K.U.Leuven
   UC3M system: Determining the Extent, Type and Value of Time Expressions in TempEval-2
María Teresa Vicente-Díez,  Julián Moreno-Schneider,  Paloma Martínez
Universidad Carlos III de Madrid
   Edinburgh-LTG: TempEval-2 System Description
Claire Grover,  Richard Tobin,  Beatrice Alex,  Kate Byrne
University of Edinburgh
   USFD2: Annotating Temporal Expresions and TLINKs for TempEval-2
Leon Derczynski and Robert Gaizauskas
University of Sheffield
   NCSU: Modeling Temporal Relations with Markov Logic and Lexical Ontology
Eun Ha,  Alok Baikadi,  Carlyle Licata,  James Lester
Dept. of Computer Science, North Carolina State Univ.
   JU_CSE_TEMP: A First Step towards Evaluating Events, Time Expressions and Temporal Relations
Anup Kumar Kolya1,  Asif Ekbal2,  Sivaji Bandyopadhyay1
1Department of Computer Science and Engineering, Jadavpur University, Kolkata-700032, INDIA, 2Department of Computational Linguistics, University of Heidelberg, Germany, 69120
   KCDC: Word Sense Induction by Using Grammatical Dependencies and Sentence Phrase Structure
Roman Kern1,  Markus Muhr1,  Michael Granitzer2
1Know-Center, 2Graz University of Technology
   UoY: Graphs of Unambiguous Vertices for Word Sense Induction and Disambiguation
Ioannis Korkontzelos and Suresh Manandhar
The University of York
   HERMIT: Flexible Clustering for the SemEval-2 WSI Task
David Jurgens and Keith Stevens
UCLA
   Duluth-WSI: SenseClusters Applied to the Sense Induction Task of SemEval-2
Ted Pedersen
University of Minnesota, Duluth
   KSU KDD: Word Sense Induction by Clustering in Topic Space
Wesam Elshamy,  Doina Caragea,  William Hsu
Kansas State University
   PengYuan@PKU: Extracting Infrequent Sense Instance with the Same N-gram Pattern for the SemEval-2010 Task 15
Peng-Yuan Liu1,  Shi-Wen Yu1,  Shui Liu2,  Tie-Jun Zhao2
1Institute of Computational Linguistics, 2Department of Computer Science, Harbin Institute of Technology
   RALI: Automatic weighting of text window distances
Bernard Brosseau-Villeneuve1,  Noriko Kando2,  Jian-Yun Nie1
1Université de Montréal, 2National Institute of Informatics
   JAIST: Clustering and Classification based Approaches for Japanese WSD
Kiyoaki Shirai and Makoto Nakamura
Japan Advanced Institute of Science and Technology
   MSS: Investigating the Effectiveness of Domain Combinations and Topic Features for Word Sense Disambiguation
Sanae Fujita,  Kevin Duh,  Akinori Fujino,  Hirotoshi Taira,  Hiroyuki Shindo
NTT
   IIITH: Domain Specific Word Sense Disambiguation
Siva Reddy1,  Abhilash Inumella1,  Diana McCarthy2,  Mark Stevenson3
1IIIT Hyderabad, 2Lexical Computing Ltd., 3University of Sheffield
   UCF-WS: Domain Word Sense Disambiguation using Web Selectors
Hansen A. Schwartz and Fernando Gomez
University of Central Florida
   TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain
Andrew Tran1,  Chris Bowes1,  David Brown1,  Ping Chen1,  Max Choly2,  Wei Ding2
1University of Houston-Downtown, 2University of Massachusetts-Boston
   GPLSI-IXA: Using Semantic Classes to Acquire Monosemous Training Examples from Domain Texts
Rubén Izquierdo1,  Armando Suárez1,  German Rigau2
1UA, 2EHU
   HIT-CIR: An Unsupervised {WSD} System Based on Domain Most Frequent Sense Estimation
Yuhang Guo,  Wanxiang Che,  Wei He,  Ting Liu,  Sheng Li
Harbin Institute of Technology
   RACAI: Unsupervised WSD experiments @ SemEval-2, Task #17
Radu Ion and Dan Ştefănescu
Research Institute for Artificial Intelligence, Romanian Academy
   Kyoto: An Integrated System for Specific Domain WSD
Aitor Soroa1,  Eneko Agirre1,  Oier López de Lacalle1,  Wauter Bosma2,  Piek Vossen2,  Monica Monachini3,  Jessie Lo4,  Shu-Kai Hsieh4
1University of the Basque Country, 2Vrije Universiteit, 3Istituto di Linguistica Computazionale, 4National Taiwan Normal University
   CFILT: Resource Conscious Approaches for All-Words Domain Specific WSD
Anup Kulkarni,  Mitesh Khapra,  Saurabh Sohoney,  Pushpak Bhattacharyya
Indian Institute of Technology Bombay
   UMCC-DLSI: Integrative resource for disambiguation task
Yoan Gutiérrez Vázquez1,  Antonio Fernandez Orquín1,  Andrés Montoyo Guijarro2,  Sonia Vázquez Pérez2
1University of Matanzas, 2University of Alicante
   HR-WSD: System Description for All-words Word Sense Disambiguation on a Specific Domain at SemEval-2010
Meng-Hsien Shih
National Taipei University of Technology
   Twitter Based System: Using Twitter for Disambiguating Sentiment Ambiguous Adjectives
Alexander Pak and Patrick Paroubek
LIMSI-CNRS
   YSC-DSAA: An Approach to Disambiguate Sentiment Ambiguous Adjectives Based On SAAOL
Shi-Cai Yang1 and Mei-Juan Liu2
1Ningbo University of Technology, 2Zhejiang Ocean University
   OpAL: Applying Opinion Mining Techniques for the Disambiguation of Sentiment Ambiguous Adjectives in SemEval-2 Task 18
Alexandra Balahur and Andrés Montoyo
University of Alicante
   HITSZ_CITYU: Combine Collocation, Context Words and Neighboring Sentence Sentiment in Sentiment Adjectives Disambiguation
Ruifeng Xu1,  Jun Xu1,  Chunyu Kit2
1Harbin Institute of Technology, (Shenzhen), Shenzhen, China, 2City University of Hong Kong, Hong Kong


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