Table of Contents

• Front Matter [doi]
• SemEval-2007 Task 01: Evaluating WSD on Cross-Language Information RetrievalEneko Agirre, Bernardo Magnini, Oier Lopez de Lacalle, Arantxa Otegi, German Rigau, Piek Vossen. 1-6 [doi]
• SemEval-2007 Task 02: Evaluating Word Sense Induction and Discrimination SystemsEneko Agirre, Aitor Soroa. 7-12 [doi]
• SemEval-2007 Task 04: Classification of Semantic Relations between NominalsRoxana Girju, Preslav Nakov, Vivi Nastase, Stan Szpakowicz, Peter D. Turney, Deniz Yuret. 13-18 [doi]
• SemEval-2007 Task 05: Multilingual Chinese-English Lexical SamplePeng Jin, Yunfang Wu, Shiwen Yu. 19-23 [doi]
• SemEval-2007 Task 06: Word-Sense Disambiguation of PrepositionsKenneth C. Litkowski, Orin Hargraves. 24-29 [doi]
• SemEval-2007 Task 07: Coarse-Grained English All-Words TaskRoberto Navigli, Kenneth C. Litkowski, Orin Hargraves. 30-35 [doi]
• SemEval-2007 Task 08: Metonymy Resolution at SemEval-2007Katja Markert, Malvina Nissim. 36-41 [doi]
• SemEval-2007 Task 09: Multilevel Semantic Annotation of Catalan and SpanishLluís Màrquez, Lluis Villarejo, Maria Antònia Martí, Mariona Taulé. 42-47 [doi]
• SemEval-2007 Task 10: English Lexical Substitution TaskDiana McCarthy, Roberto Navigli. 48-53 [doi]
• SemEval-2007 Task 11: English Lexical Sample Task via English-Chinese Parallel TextHwee Tou Ng, Yee Seng Chan. 54-58 [doi]
• SemEval-2007 Task 12: Turkish Lexical Sample TaskZeynep Orhan, Emine Çelik, Demirgüç Neslihan. 59-63 [doi]
• The SemEval-2007 WePS Evaluation: Establishing a benchmark for the Web People Search TaskJavier Artiles, Julio Gonzalo, Satoshi Sekine. 64-69 [doi]
• SemEval-2007 Task 14: Affective TextCarlo Strapparava, Rada Mihalcea. 70-74 [doi]
• SemEval-2007 Task 15: TempEval Temporal Relation IdentificationMarc Verhagen, Robert J. Gaizauskas, Frank Schilder, Mark Hepple, Graham Katz, James Pustejovsky. 75-80 [doi]
• SemEval-2007 Task 16: Evaluation of Wide Coverage Knowledge ResourcesMontse Cuadros, German Rigau. 81-86 [doi]
• SemEval-2007 Task-17: English Lexical Sample, SRL and All WordsSameer Pradhan, Edward Loper, Dmitriy Dligach, Martha Palmer. 87-92 [doi]
• SemEval-2007 Task 18: Arabic Semantic LabelingMona T. Diab, Musa Alkhalifa, Sabry ElKateb, Christiane Fellbaum, Aous Mansouri, Martha Palmer. 93-98 [doi]
• SemEval-2007 Task 19: Frame Semantic Structure ExtractionCollin F. Baker, Michael Ellsworth, Katrin Erk. 99-104 [doi]
• AUG: A combined classification and clustering approach for web people disambiguationEls Lefever, Véronique Hoste, Timur Fayruzov. 105-108 [doi]
• CITYU-HIF: WSD with Human-Informed Feature PreferenceOi Yee Kwong. 109-112 [doi]
• CLR: Integration of FrameNet in a Text Representation SystemKenneth C. Litkowski. 113-116 [doi]
• CLaC and CLaC-NB: Knowledge-based and corpus-based approaches to sentiment taggingAlina Andreevskaia, Sabine Bergler. 117-120 [doi]
• CMU-AT: Semantic Distance and Background Knowledge for Identifying Semantic RelationsAlicia Tribble, Scott E. Fahlman. 121-124 [doi]
• CU-COMSEM: Exploring Rich Features for Unsupervised Web Personal Name DisambiguationYing Chen, James H. Martin. 125-128 [doi]
• CU-TMP: Temporal Relation Classification Using Syntactic and Semantic FeaturesSteven Bethard, James H. Martin. 129-132 [doi]
• CUNIT: A Semantic Role Labeling System for Modern Standard ArabicMona T. Diab, Alessandro Moschitti, Daniele Pighin. 133-136 [doi]
• DFKI2: An Information Extraction Based Approach to People DisambiguationAndrea Heyl, Günter Neumann. 137-140 [doi]
• FBK-IRST: Kernel Methods for Semantic Relation ExtractionClaudio Giuliano, Alberto Lavelli, Daniele Pighin, Lorenza Romano. 141-144 [doi]
• FBK-irst: Lexical Substitution Task Exploiting Domain and Syntagmatic CoherenceClaudio Giuliano, Alfio Gliozzo, Carlo Strapparava. 145-148 [doi]
• FICO: Web Person Disambiguation Via Weighted Similarity of Entity ContextsPaul Kalmar, Matthias Blume. 149-152 [doi]
• FUH (FernUniversität in Hagen): Metonymy Recognition Using Different Kinds of Context for a Memory-Based LearnerJohannes Leveling. 153-156 [doi]
• GPLSI: Word Coarse-grained Disambiguation aided by Basic Level ConceptsRubén Izquierdo, Armando Suárez, German Rigau. 157-160 [doi]
• GYDER: Maxent Metonymy ResolutionRichárd Farkas, Eszter Simon, György Szarvas, Dániel Varga. 161-164 [doi]
• HIT-IR-WSD: A WSD System for English Lexical Sample TaskYuhang Guo, Wanxiang Che, Yuxuan Hu, Wei Zhang, Ting Liu. 165-168 [doi]
• HIT-WSD: Using Search Engine for Multilingual Chinese-English Lexical Sample TaskPengyuan Liu, Tiejun Zhao, Muyun Yang. 169-172 [doi]
• HIT: Web based Scoring Method for English Lexical SubstitutionShiqi Zhao, Lin Zhao, Yu Zhang, Ting Liu, Sheng Li. 173-176 [doi]
• I2R: Three Systems for Word Sense Discrimination, Chinese Word Sense Disambiguation, and English Word Sense DisambiguationZheng-Yu Niu, Dong-Hong Ji, Chew Lim Tan. 177-182 [doi]
• ILK2: Semantic Role Labeling of Catalan and Spanish using TiMBLRoser Morante, Bertjan Busser. 183-186 [doi]
• ILK: Machine learning of semantic relations with shallow features and almost no dataIris Hendrickx, Roser Morante, Caroline Sporleder, Antal van den Bosch. 187-190 [doi]
• IRST-BP: Preposition Disambiguation based on Chain Clarifying Relationships ContextsOctavian Popescu, Sara Tonelli, Emanuele Pianta. 191-194 [doi]
• IRST-BP: Web People Search Using Name EntitiesOctavian Popescu, Bernardo Magnini. 195-198 [doi]
• JHU1 : An Unsupervised Approach to Person Name Disambiguation using Web SnippetsDelip Rao, Nikesh Garera, David Yarowsky. 199-202 [doi]
• JU-SKNSB: Extended WordNet Based WSD on the English All-Words Task at SemEval-1Sudip Kumar Naskar, Sivaji Bandyopadhyay. 203-206 [doi]
• KU: Word Sense Disambiguation by SubstitutionDeniz Yuret. 207-214 [doi]
• LCC-SRN: LCC's SRN System for SemEval 2007 Task 4Adriana Badulescu, Munirathnam Srikanth. 215-218 [doi]
• LCC-TE: A Hybrid Approach to Temporal Relation Identification in News TextCongmin Min, Munirathnam Srikanth, Abraham Fowler. 219-222 [doi]
• LCC-WSD: System Description for English Coarse Grained All Words Task at SemEval 2007Adrian Novischi, Muirathnam Srikanth, Andrew Bennett. 223-226 [doi]
• LTH: Semantic Structure Extraction using Nonprojective Dependency TreesRichard Johansson, Pierre Nugues. 227-230 [doi]
• MELB-KB: Nominal Classification as Noun Compound InterpretationSu Nam Kim, Timothy Baldwin. 231-236 [doi]
• MELB-MKB: Lexical Substitution system based on Relatives in ContextDavid Martínez, Su Nam Kim, Timothy Baldwin. 237-240 [doi]
• MELB-YB: Preposition Sense Disambiguation Using Rich Semantic FeaturesPatrick Ye, Timothy Baldwin. 241-244 [doi]
• NAIST.Japan: Temporal Relation Identification Using Dependency Parsed TreeYuchang Cheng, Masayuki Asahara, Yuji Matsumoto. 245-248 [doi]
• NUS-ML: Improving Word Sense Disambiguation Using Topic FeaturesJunfu Cai, Wee Sun Lee, Yee Whye Teh. 249-252 [doi]
• NUS-PT: Exploiting Parallel Texts for Word Sense Disambiguation in the English All-Words TasksYee Seng Chan, Hwee Tou Ng, Zhi Zhong. 253-256 [doi]
• OE: WSD Using Optimal Ensembling (OE) MethodHarri M. T. Saarikoski. 257-260 [doi]
• PKU: Combining Supervised Classifiers with Features SelectionPeng Jin, Danqing Zhu, Fuxin Li, Yunfang Wu. 261-263 [doi]
• PNNL: A Supervised Maximum Entropy Approach to Word Sense DisambiguationStephen Tratz, Antonio Sanfilippo, Michelle L. Gregory, Alan Chappell, Christian Posse, Paul Whitney. 264-267 [doi]
• PSNUS: Web People Name Disambiguation by Simple Clustering with Rich FeaturesErgin Elmacioglu, Yee Fan Tan, Su Yan, Min-Yen Kan, Dongwon Lee. 268-271 [doi]
• PU-BCD: Exponential Family Models for the Coarse- and Fine-Grained All-Words TasksJonathan Chang, Miroslav Dudík, David M. Blei. 272-276 [doi]
• PUTOP: Turning Predominant Senses into a Topic Model for Word Sense DisambiguationJordan L. Boyd-Graber, David M. Blei. 277-281 [doi]
• RACAI: Meaning Affinity ModelsRadu Ion, Dan Tufis. 282-287 [doi]
• RTV: Tree Kernels for Thematic Role ClassificationDaniele Pighin, Alessandro Moschitti, Roberto Basili. 288-291 [doi]
• SHEF: Semantic Tagging and Summarization Techniques Applied to Cross-document CoreferenceHoracio Saggion. 292-295 [doi]
• SICS: Valence annotation based on seeds in word spaceMagnus Sahlgren, Jussi Karlgren, Gunnar Eriksson. 296-299 [doi]
• SRCB-WSD: Supervised Chinese Word Sense Disambiguation with Key FeaturesYun Xing. 300-303 [doi]
• SW-AG: Local Context Matching for English Lexical SubstitutionGeorge Dahl, Anne-Marie Frassica, Richard Wicentowski. 304-307 [doi]
• SWAT-MP: The SemEval-2007 Systems for Task 5 and Task 14Phil Katz, Matt Singleton, Richard Wicentowski. 308-313 [doi]
• Sussx: WSD using Automatically Acquired Predominant SensesRob Koeling, Diana McCarthy. 314-317 [doi]
• TITPI: Web People Search Task Using Semi-Supervised Clustering ApproachKazunari Sugiyama, Manabu Okumura. 318-321 [doi]
• TKB-UO: Using Sense Clustering for WSDHenry Anaya-Sánchez, Aurora Pons-Porrata, Rafael Berlanga Llavori. 322-325 [doi]
• Tor, TorMd: Distributional Profiles of Concepts for Unsupervised Word Sense DisambiguationSaif Mohammad, Graeme Hirst, Philip Resnik. 326-333 [doi]
• UA-ZBSA: A Headline Emotion Classification through Web InformationZornitsa Kozareva, Borja Navarro, Sonia Vázquez, Andrés Montoyo. 334-337 [doi]
• UA-ZSA: Web Page Clustering on the basis of Name DisambiguationZornitsa Kozareva, Sonia Vázquez, Andrés Montoyo. 338-341 [doi]
• UBC-ALM: Combining k-NN with SVD for WSDEneko Agirre, Oier Lopez de Lacalle. 342-345 [doi]
• UBC-AS: A Graph Based Unsupervised System for Induction and ClassificationEneko Agirre, Aitor Soroa. 346-349 [doi]
• UBC-UMB: Combining unsupervised and supervised systems for all-words WSDDavid Martínez 0001, Timothy Baldwin, Eneko Agirre, Oier Lopez de Lacalle. 350-353 [doi]
• UBC-UPC: Sequential SRL Using Selectional Preferences. An approach with Maximum Entropy Markov ModelsBeñat Zapirain, Eneko Agirre, Lluís Màrquez. 354-357 [doi]
• UBC-ZAS: A k-NN based Multiclassifier System to perform WSD in a Reduced Dimensional Vector SpaceAna Zelaia Jauregi, Olatz Arregi Uriarte, Basilio Sierra. 358-361 [doi]
• UC3M_13: Disambiguation of Person Names Based on the Composition of Simple Bags of Typed TermsDavid del Valle-Agudo, César de Pablo-Sánchez, Maria Teresa Vicente-Díez. 362-365 [doi]
• UCB: System Description for SemEval Task #4Preslav Nakov, Marti A. Hearst. 366-369 [doi]
• UCD-FC: Deducing semantic relations using WordNet senses that occur frequently in a database of noun-noun compoundsFintan J. Costello. 370-373 [doi]
• UCD-PN: Classification of Semantic Relations Between Nominals using WordNet and Web CountsPaul Nulty. 374-377 [doi]
• UCD-S1: A hybrid model for detecting semantic relations between noun pairs in textCristina Butnariu, Tony Veale. 378-381 [doi]
• UCM3: Classification of Semantic Relations between Nominals using Sequential Minimal OptimizationIsabel Segura-Bedmar, Doaa Samy, Jose L. Martinez. 382-385 [doi]
• UIUC: A Knowledge-rich Approach to Identifying Semantic Relations between NominalsBrandon Beamer, Suma Bhat, Brant Chee, Andrew Fister, Alla Rozovskaya, Roxana Girju. 386-389 [doi]
• UMND1: Unsupervised Word Sense Disambiguation Using Contextual Semantic RelatednessSiddharth Patwardhan, Satanjeev Banerjee, Ted Pedersen. 390-393 [doi]
• UMND2 : SenseClusters Applied to the Sense Induction Task of Senseval-4Ted Pedersen. 394-397 [doi]
• UNIBA: JIGSAW algorithm for Word Sense DisambiguationPierpaolo Basile, Marco de Gemmis, Anna Lisa Gentile, Pasquale Lops, Giovanni Semeraro. 398-401 [doi]
• UNN-WePS: Web Person Search using co-Present Names and Lexical ChainsJeremy Ellman, Gary Emery. 402-405 [doi]
• UNT-Yahoo: SuperSenseLearner: Combining SenseLearner with SuperSense and other Coarse Semantic FeaturesRada Mihalcea, Andras Csomai, Massimiliano Ciaramita. 406-409 [doi]
• UNT: SubFinder: Combining Knowledge Sources for Automatic Lexical SubstitutionSamer Hassan, Andras Csomai, Carmen Banea, Ravi Som Sinha, Rada Mihalcea. 410-413 [doi]
• UOY: A Hypergraph Model For Word Sense Induction & DisambiguationIoannis P. Klapaftis, Suresh Manandhar. 414-417 [doi]
• UP13: Knowledge-poor Methods (Sometimes) Perform PoorlyThierry Poibeau. 418-421 [doi]
• UPAR7: A knowledge-based system for headline sentiment taggingFrançois-Régis Chaumartin. 422-425 [doi]
• UPC: Experiments with Joint Learning within SemEval Task 9Lluís Màrquez, Lluís Padró, Mihai Surdeanu, Luis Villarejo. 426-429 [doi]
• UPV-SI: Word Sense Induction using Self Term ExpansionDavid Pinto, Paolo Rosso, Héctor Jiménez-Salazar. 430-433 [doi]
• UPV-WSD : Combining different WSD Methods by means of Fuzzy Borda VotingDavide Buscaldi, Paolo Rosso. 434-437 [doi]
• USFD: Preliminary Exploration of Features and Classifiers for the TempEval-2007 TaskMark Hepple, Andrea Setzer, Robert J. Gaizauskas. 438-441 [doi]
• USP-IBM-1 and USP-IBM-2: The ILP-based Systems for Lexical Sample WSD in SemEval-2007Lucia Specia, Maria das Graças Volpe Nunes, Ashwin Srinivasan, Ganesh Ramakrishnan. 442-445 [doi]
• USYD: WSD and Lexical Substitution using the Web1T corpusTobias Hawker. 446-453 [doi]
• UTD-HLT-CG: Semantic Architecture for Metonymy Resolution and Classification of Nominal RelationsCristina Nicolae, Gabriel Nicolae, Sanda M. Harabagiu. 454-459 [doi]
• UTD-SRL: A Pipeline Architecture for Extracting Frame Semantic StructuresCosmin Adrian Bejan, Chris Hathaway. 460-463 [doi]
• UTH: SVM-based Semantic Relation Classification using Physical SizesEiji Aramaki, Takeshi Imai, Kengo Miyo, Kazuhiko Ohe. 464-467 [doi]
• UVA: Language Modeling Techniques for Web People SearchKrisztian Balog, Leif Azzopardi, Maarten de Rijke. 468-471 [doi]
• UVAVU: WordNet Similarity and Lexical Patterns for Semantic Relation ClassificationWillem Robert van Hage, Sophia Katrenko. 472-475 [doi]
• UofL: Word Sense Disambiguation Using Lexical CohesionYllias Chali, Shafiq R. Joty. 476-479 [doi]
• WIT: Web People Search Disambiguation using Random WalksJosé Iria, Lei Xia, Ziqi Zhang. 480-483 [doi]
• WVALI: Temporal Relation Identification by Syntactico-Semantic AnalysisGeorgiana Puscasu. 484-487 [doi]
• XRCE-M: A Hybrid System for Named Entity Metonymy ResolutionCaroline Brun, Maud Ehrmann, Guillaume Jacquet. 488-491 [doi]
• XRCE-T: XIP Temporal Module for TempEval campaignCaroline Hagège, Xavier Tannier. 492-495 [doi]