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Thursday 15-7-2010
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09:00-10:40
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Task description papers
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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
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SemEval-2010 Task 2:
Cross-Lingual Lexical Substitution
Rada Mihalcea1, Ravi Sinha1, Diana
McCarthy2
1University of North Texas, 2Lexical Computing
Ltd.
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SemEval-2010 Task 3:
Cross-Lingual Word Sense Disambiguation
Els Lefever and Véronique Hoste
LT3, University College Ghent
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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
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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
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11:00-12:40
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Task description papers
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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
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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
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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
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SemEval-2010 Task 12: Parser
Evaluation using Textual Entailments
Deniz Yuret, Aydin Han, Zehra Turgut
Koc University
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SemEval-2010 Task 13:
TempEval-2
Marc Verhagen1, Roser Sauri2, Tommaso
Caselli3, James Pustejovsky1
1Brandeis University, 2Barcelona Media, 3ILC-CNR
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14:00-15:20
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Task description papers
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SemEval-2010 Task 14: Word
Sense Induction & Disambiguation
Suresh Manandhar1, Ioannis Klapaftis1, Dmitriy
Dligach2, Sameer Pradhan3
1University of York, 2University of
Colorado, 3BBN Technologies
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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
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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
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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
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16:00-17:30
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Task description posters
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SemEval-2010 Task 11: Event
detection in Chinese news sentences
Qiang Zhou
Tsinghua University
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SemEval-2 Task 15: Infrequent
Sense Identification for Mandarin Text to Speech Systems
Peng Jin1 and Yunfang Wu2
1Leshan Normal University, 2Peking University
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RelaxCor: A Global Relaxation
Labeling Approach to Coreference Resolution
Emili Sapena, Lluís Padró, Jordi Turmo
UPC
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SUCRE: A Modular System for
Coreference Resolution
Hamidreza Kobdani and Hinrich Schütze
Institute for Natural Language Processing, University of Stuttgart,
Germany
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UBIU: A Language-Independent
System for Coreference Resolution
Desislava Zhekova1 and Sandra Kübler2
1University of Bremen, 2Indiana University
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Corry: a System for Coreference
Resolution
Olga Uryupina
University of Trento
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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
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TANL-1: Coreference Resolution
by Parse Analysis and Similarity Clustering
Giuseppe Attardi, Maria Simi, Stefano Dei Rossi
Università di Pisa
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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
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Combining Dictionaries and
Contextual Information for Cross-Lingual Lexical Substitution
Wilker Aziz1 and Lucia Specia2
1University of Sao Paulo, 2University of
Wolverhampton
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UvT-WSD1: a Cross-Lingual Word
Sense Disambiguation system
Maarten van Gompel
Tilburg centre for Cognition and Communication, Tilburg University
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UHD: Cross-Lingual Word Sense
Disambiguation Using Multilingual Co-occurrence Graphs
Carina Silberer and Simone Paolo Ponzetto
Heidelberg University
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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
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273. Task 5. Keyphrase
Extraction Based on Core Word Identification and Word Expansion
You Ouyang, Wenjie Li, Renxian Zhang
The Hong Kong Polytechnic University
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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
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DFKI KeyWE: Ranking keyphrases
extracted from scientific articles
Kathrin Eichler and Günter Neumann
DFKI
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Single document keyphrase
extraction using sentence clustering and Latent Dirichlet Allocation
Claude Pasquier
CNRS / University of Nice Sophia-Antipolis
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SJTULTLAB: Chunk Based Method
for Keyphrase Extraction
Letian Wang and Fang Li
Shanghai Jiao Tong University
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Likey: Unsupervised
Language-independent Keyphrase Extraction
Mari-Sanna Paukkeri and Timo Honkela
Aalto University School of Science and Technology
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WINGNUS: Keyphrase Extraction
Utilizing Document Logical Structure
Thuy Dung Nguyen1 and Minh-Thang Luong2
1National Universityof Singapore, 2National
University of Singapore
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KX: A flexible system for
Keyphrase eXtraction
Emanuele Pianta and Sara Tonelli
Fondazione Bruno Kessler
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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
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UNPMC: Naive Approach to
Extract Keyphrases from Scientific Articles
Jungyeul Park1, Jong Gun Lee2, Béatrice
Daille1
1LINA, Univ. de Nantes, 2LIP6, Univ. Paris 6
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SEERLAB: A System for
Extracting Keyphrases from Scholarly Documents
Pucktada Treeratpituk, Pradeep Teregowda, Jian
Huang, C. Lee Giles
Penn State University
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SZTERGAK : Feature Engineering
for Keyphrase Extraction
Gábor Berend1 and Richárd Farkas2
1University of Szeged, 2Hungarian Academy of
Sciences
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KP-Miner: Participation in
SemEval-2
Samhaa R. El-Beltagy1 and Ahmed Rafea2
1Cairo University, 2The American University in
Cairo
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UvT: The UvT Term Extraction
System in the Keyphrase Extraction task
Kalliopi Zervanou
University of Tilburg
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UNITN: Part-Of-Speech Counting
in Relation Extraction
Fabio Celli
University of Trento
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FBK_NK: a WordNet-based System
for Multi-Way Classification ofSemantic Relations
Matteo Negri and Milen Kouylekov
Fondazione Bruno Kessler
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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
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FBK-IRST: Semantic Relation
Extraction using Cyc
Kateryna Tymoshenko and Claudio Giuliano
FBK-IRST
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ISTI@SemEval-2 Task #8:
Boosting-Based Multiway Relation Classification
Andrea Esuli, Diego Marcheggiani, Fabrizio
Sebastiani
ISTI-CNR, Italy
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ISI: Automatic Classification
of Relations Between Nominals Using a Maximum Entropy Classifier
Stephen Tratz and Eduard Hovy
Information Sciences Institute
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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
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UCD-Goggle: A Hybrid System for
Noun Compound Paraphrasing
Guofu Li, Alejandra Lopez-Fernandez, Tony Veale
University College Dublin
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UCD-PN: Selecting General
Paraphrases Using Conditional Probability
Paul Nulty and Fintan Costello
UCD
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Friday 16-7-2010
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09:00-10:30
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System papers
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COLEPL and COLSLM: An
unsupervised WSD approach to Multilingual Lexical Substitution, Tasks 2
and 3 SemEval 2010
Weiwei Guo and Mona Diab
Columbia University
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UBA: Using Automatic
Translation and Wikipedia for Cross-Lingual Lexical Substitution
Pierpaolo Basile and Giovanni Semeraro
University of Bari "Aldo Moro"
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HUMB: Automatic Key Term
Extraction from Scientific Articles in GROBID
Patrice Lopez1 and Laurent Romary2
1INRIA, 2INRIA & Humboldt University
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UTDMet: Combining WordNet and
Corpus Data for Argument Coercion Detection
Kirk Roberts and Sanda Harabagiu
University of Texas at Dallas
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UTD: Classifying Semantic
Relations by Combining Lexical and Semantic Resources
Bryan Rink and Sanda Harabagiu
University of Texas at Dallas
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UvT: Memory-based pairwise
ranking of paraphrasing verbs
Sander Wubben
Tilburg University
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11:00-12:30
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System papers
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SEMAFOR: Frame Argument
Resolution with Log-Linear Models
Desai Chen, Nathan Schneider, Dipanjan
Das, Noah A. Smith
CMU
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Cambridge: Parser Evaluation
using Textual Entailment by Grammatical Relation Comparison
Laura Rimell and Stephen Clark
University of Cambridge
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MARS: A Specialized RTE System
for Parser Evaluation
Rui Wang1 and Yi Zhang2
1Saarland University, 2DFKI GmbH and Saarland
University
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TRIPS and TRIOS System for
TempEval-2: Extracting Temporal Information from Text
Naushad UzZaman and James Allen
University of Rochester
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TIPSem (English and Spanish):
Evaluating CRFs and Semantic Roles in TempEval-2
Hector Llorens, Estela Saquete, Borja Navarro
University of Alicante
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CityU-DAC: Disambiguating
Sentiment-Ambiguous Adjectives within Context
Bin LU and Benjamin K. Tsou
City University of Hong Kong
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TUD: semantic relatedness for
relation classification
György Szarvas and Iryna Gurevych
UKP Lab, Technische Universität Darmstadt, Germany
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SWAT: Cross-Lingual Lexical
Substitution using Local Context Matching, Bilingual Dictionaries and
Machine Translation
Richard Wicentowski, Maria Kelly, Rachel Lee
Swarthmore College
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VENSES++: Adapting a deep
semantic processing system to the identification of null instantiations
Sara Tonelli1 and Rodolfo Delmonte2
1Fondazione Bruno Kessler, 2Università di
Venezia
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CLR: Linking Events and Their
Participants in Discourse Using a Comprehensive FrameNet Dictionary
Ken Litkowski
CL Research
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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
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372:Comparing the Benefit of
Different Dependency Parsers for Textual Entailment Using Syntactic
Constraints Only
Alexander Volokh and Günter Neumann
DFKI
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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
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ID 392:TERSEO + T2T3
Transducer. A systems for recognizing and normalizing TIMEX3
Estela Saquete Boro
University of Alicante
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HeidelTime: High Quality Rule-based
Extraction and Normalization of Temporal Expressions
Jannik Strötgen and Michael Gertz
University of Heidelberg
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KUL: Recognition and
Normalization of Temporal Expressions
Oleksandr Kolomiyets and Marie-Francine Moens
K.U.Leuven
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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
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Edinburgh-LTG: TempEval-2
System Description
Claire Grover, Richard Tobin, Beatrice
Alex, Kate Byrne
University of Edinburgh
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USFD2: Annotating Temporal
Expresions and TLINKs for TempEval-2
Leon Derczynski and Robert Gaizauskas
University of Sheffield
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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.
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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
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KCDC: Word Sense Induction by
Using Grammatical Dependencies and Sentence Phrase Structure
Roman Kern1, Markus Muhr1, Michael
Granitzer2
1Know-Center, 2Graz University of Technology
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UoY: Graphs of Unambiguous
Vertices for Word Sense Induction and Disambiguation
Ioannis Korkontzelos and Suresh Manandhar
The University of York
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HERMIT: Flexible Clustering for
the SemEval-2 WSI Task
David Jurgens and Keith Stevens
UCLA
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Duluth-WSI: SenseClusters
Applied to the Sense Induction Task of SemEval-2
Ted Pedersen
University of Minnesota, Duluth
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KSU KDD: Word Sense Induction by
Clustering in Topic Space
Wesam Elshamy, Doina Caragea, William Hsu
Kansas State University
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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
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RALI: Automatic weighting of
text window distances
Bernard Brosseau-Villeneuve1, Noriko Kando2, Jian-Yun
Nie1
1Université de Montréal, 2National Institute
of Informatics
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JAIST: Clustering and
Classification based Approaches for Japanese WSD
Kiyoaki Shirai and Makoto Nakamura
Japan Advanced Institute of Science and Technology
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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
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IIITH: Domain Specific Word
Sense Disambiguation
Siva Reddy1, Abhilash Inumella1, Diana
McCarthy2, Mark Stevenson3
1IIIT Hyderabad, 2Lexical Computing
Ltd., 3University of Sheffield
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UCF-WS: Domain Word Sense
Disambiguation using Web Selectors
Hansen A. Schwartz and Fernando Gomez
University of Central Florida
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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
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GPLSI-IXA: Using Semantic
Classes to Acquire Monosemous Training Examples from Domain Texts
Rubén Izquierdo1, Armando Suárez1, German
Rigau2
1UA, 2EHU
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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
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RACAI: Unsupervised WSD
experiments @ SemEval-2, Task #17
Radu Ion and Dan Ştefănescu
Research Institute for Artificial Intelligence, Romanian Academy
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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
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CFILT: Resource Conscious
Approaches for All-Words Domain Specific WSD
Anup Kulkarni, Mitesh Khapra, Saurabh
Sohoney, Pushpak Bhattacharyya
Indian Institute of Technology Bombay
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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
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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
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Twitter Based System: Using
Twitter for Disambiguating Sentiment Ambiguous Adjectives
Alexander Pak and Patrick Paroubek
LIMSI-CNRS
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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
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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
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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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