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Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

Chairs
Preslav Nakov (Qatar Computing Research Institute)
Torsten Zesch (University of Duisburg-Essen)
Daniel Cer (Google)
David Jurgens (McGill University)

Full proceedings volume (PDF)
Schedule and author index (HTML)
Bibliography (BibTeX)
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pdf bib Front matter pages
pdf bib SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)
Wei Xu, Chris Callison-Burch and Bill Dolan 		pp. 1–11
pdf bib MITRE: Seven Systems for Semantic Similarity in Tweets
Guido Zarrella, John Henderson, Elizabeth M. Merkhofer and Laura Strickhart 		pp. 12–17
pdf bib CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task
Helena Gomez, Darnes Vilariño, David Pinto and Grigori Sidorov 		pp. 18–22
pdf bib HLTC-HKUST: A Neural Network Paraphrase Classifier using Translation Metrics, Semantic Roles and Lexical Similarity Features
Dario Bertero and Pascale Fung 		pp. 23–28
pdf bib FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter
Ngoc Phuoc An Vo, Simone Magnolini and Octavian Popescu 		pp. 29–33
pdf bib ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter
Jiang Zhao and Man Lan 		pp. 34–39
pdf bib ROB: Using Semantic Meaning to Recognize Paraphrases
Rob van der Goot and Gertjan van Noord 		pp. 40–44
pdf bib AMRITA_CEN@SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders
Mahalakshmi Shanumuga Sundaram, Anand Kumar Madasamy and Soman Kotti Padannayil 		pp. 45–50
pdf bib Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgrams
Taneeya Satyapanich, Hang Gao and Tim Finin 		pp. 51–55
pdf bib RTM-DCU: Predicting Semantic Similarity with Referential Translation Machines
Ergun Bicici 		pp. 56–63
pdf bib Twitter Paraphrase Identification with Simple Overlap Features and SVMs
Asli Eyecioglu and Bill Keller 		pp. 64–69
pdf bib TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay
Mladen Karan, Goran Glavaš, Jan Šnajder, Bojana Dalbelo Bašić, Ivan Vulić and Marie-Francine Moens 		pp. 70–74
pdf bib CDTDS: Predicting Paraphrases in Twitter via Support Vector Regression
Rafael - Michael Karampatsis 		pp. 75–79
pdf bib yiGou: A Semantic Text Similarity Computing System Based on SVM
Yang Liu, Chengjie Sun, Lei Lin and Xiaolong Wang 		pp. 80–84
pdf bib USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics
Liling Tan, Carolina Scarton, Lucia Specia and Josef van Genabith 		pp. 85–89
pdf bib TrWP: Text Relatedness using Word and Phrase Relatedness
Md Rashadul Hasan Rakib, Aminul Islam and Evangelos Milios 		pp. 90–95
pdf bib MiniExperts: An SVM Approach for Measuring Semantic Textual Similarity
Hanna Béchara, Hernani Costa, Shiva Taslimipoor, Rohit Gupta, Constantin Orasan, Gloria Corpas Pastor and Ruslan Mitkov 		pp. 96–101
pdf bib FBK-HLT: A New Framework for Semantic Textual Similarity
Ngoc Phuoc An Vo, Simone Magnolini and Octavian Popescu 		pp. 102–106
pdf bib UMDuluth-BlueTeam: SVCSTS - A Multilingual and Chunk Level Semantic Similarity System
Sakethram Karumuri, Viswanadh Kumar Reddy Vuggumudi and Sai Charan Raj Chitirala 		pp. 107–110
pdf bib SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching
Nataliia Plotnikova, Gabriella Lapesa, Thomas Proisl and Stefan Evert 		pp. 111–116
pdf bib ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation
Jiang Zhao, Man Lan and Jun Feng Tian 		pp. 117–122
pdf bib UQeResearch: Semantic Textual Similarity Quantification
Hamed Hassanzadeh, Tudor Groza, Anthony Nguyen and Jane Hunter 		pp. 123–127
pdf bib WSL: Sentence Similarity Using Semantic Distance Between Words
Naoko Miura and Tomohiro Takagi 		pp. 128–131
pdf bib SOPA: Random Forests Regression for the Semantic Textual Similarity task
Davide Buscaldi, Jorge Garcia Flores, Ivan V. Meza and Isaac Rodriguez 		pp. 132–137
pdf bib MathLingBudapest: Concept Networks for Semantic Similarity
Gábor Recski and Judit Ács 		pp. 138–142
pdf bib DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2
Piyush Arora, Chris Hokamp, Jennifer Foster and Gareth Jones 		pp. 143–147
pdf bib DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition
Md Arafat Sultan, Steven Bethard and Tamara Sumner 		pp. 148–153
pdf bib FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity
Basma Hassan, Samir AbdelRahman and Reem Bahgat 		pp. 154–158
pdf bib AZMAT: Sentence Similarity Using Associative Matrices
Evan Jaffe, Lifeng Jin, David King and Marten van Schijndel 		pp. 159–163
pdf bib NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity
Rajendra Banjade, Nobal Bikram Niraula, Nabin Maharjan, Vasile Rus, Dan Stefanescu, Mihai Lintean and Dipesh Gautam 		pp. 164–171
pdf bib Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity
Lushan Han, Justin Martineau, Doreen Cheng and Christopher Thomas 		pp. 172–177
pdf bib UBC: Cubes for English Semantic Textual Similarity and Supervised Approaches for Interpretable STS
Eneko Agirre, Aitor Gonzalez-Agirre, Inigo Lopez-Gazpio, Montse Maritxalar, German Rigau and Larraitz Uria 		pp. 178–183
pdf bib ASAP-II: From the Alignment of Phrases to Textual Similarity
Ana Alves, David Simões, Hugo Gonçalo Oliveira and Adriana Ferrugento 		pp. 184–189
pdf bib TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity
Tu Thanh Vu, Quan Hung Tran and Son Bao Pham 		pp. 190–195
pdf bib HITSZ-ICRC: Exploiting Classification Approach for Answer Selection in Community Question Answering
Yongshuai Hou, Cong Tan, Xiaolong Wang, Yaoyun Zhang, Jun Xu and Qingcai Chen 		pp. 196–202
pdf bib QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English
Massimo Nicosia, Simone Filice, Alberto Barrón-Cedeño, Iman Saleh, Hamdy Mubarak, Wei Gao, Preslav Nakov, Giovanni Da San Martino, Alessandro Moschitti, Kareem Darwish, Lluís Màrquez, Shafiq Joty and Walid Magdy 		pp. 203–209
pdf bib ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge
Xiaoqiang Zhou, Baotian Hu, Jiaxin Lin, Yang xiang and Xiaolong Wang 		pp. 210–214
pdf bib JAIST: Combining multiple features for Answer Selection in Community Question Answering
Quan Hung Tran, Vu Tran, Tu Vu, Minh Nguyen and Son Bao Pham 		pp. 215–219
pdf bib Shiraz: A Proposed List Wise Approach to Answer Validation
Amin Heydari Alashty, Saeed Rahmani, Meysam Roostaee and Mostafa Fakhrahmad 		pp. 220–225
pdf bib Al-Bayan: A Knowledge-based System for Arabic Answer Selection
Reham Mohamed, Maha Ragab, Heba Abdelnasser, Nagwa M. El-Makky and Marwan Torki 		pp. 226–230
pdf bib FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering
Ngoc Phuoc An Vo, Simone Magnolini and Octavian Popescu 		pp. 231–235
pdf bib ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference
Liang Yi, JianXiang Wang and Man Lan 		pp. 236–241
pdf bib Voltron: A Hybrid System For Answer Validation Based On Lexical And Distance Features
Ivan Zamanov, Marina Kraeva, Nelly Hateva, Ivana Yovcheva, Ivelina Nikolova and Galia Angelova 		pp. 242–246
pdf bib CoMiC: Adapting a Short Answer Assessment System for Answer Selection
Björn Rudzewitz and Ramon Ziai 		pp. 247–251
pdf bib SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability
Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Weiwei Guo, Inigo Lopez-Gazpio, Montse Maritxalar, Rada Mihalcea, German Rigau, Larraitz Uria and Janyce Wiebe 		pp. 252–263
pdf bib ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity
Christian Hänig, Robert Remus and Xose de la Puente 		pp. 264–268
pdf bib SemEval-2015 Task 3: Answer Selection in Community Question Answering
Preslav Nakov, Lluís Màrquez, Walid Magdy, Alessandro Moschitti, Jim Glass and Bilal Randeree 		pp. 269–281
pdf bib VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems
Yonatan Belinkov, Mitra Mohtarami, Scott Cyphers and James Glass 		pp. 282–287
pdf bib SemEval-2015 Task 13: Multilingual All-Words Sense Disambiguation and Entity Linking
Andrea Moro and Roberto Navigli 		pp. 288–297
pdf bib LIMSI: Translations as Source of Indirect Supervision for Multilingual All-Words Sense Disambiguation and Entity Linking
Marianna Apidianaki and Li Gong 		pp. 298–302
pdf bib SemEval-2015 Task 14: Analysis of Clinical Text
Noémie Elhadad, Sameer Pradhan, Sharon Gorman, Suresh Manandhar, Wendy Chapman and Guergana Savova 		pp. 303–310
pdf bib UTH-CCB: The Participation of the SemEval 2015 Challenge – Task 14
Jun Xu, Yaoyun Zhang, Jingqi Wang, Yonghui Wu, Min Jiang, Ergin Soysal and Hua Xu 		pp. 311–314
pdf bib SemEval-2015 Task 15: A CPA dictionary-entry-building task
Vít Baisa, Jane Bradbury, Silvie Cinkova, Ismail El Maarouf, Adam Kilgarriff and Octavian Popescu 		pp. 315–324
pdf bib BLCUNLP: Corpus Pattern Analysis for Verbs Based on Dependency Chain
Yukun Feng, Qiao Deng and Dong Yu 		pp. 325–328
pdf bib WSD-games: a Game-Theoretic Algorithm for Unsupervised Word Sense Disambiguation
Rocco Tripodi and Marcello Pelillo 		pp. 329–334
pdf bib DFKI: Multi-objective Optimization for the Joint Disambiguation of Entities and Nouns & Deep Verb Sense Disambiguation
Dirk Weissenborn, Feiyu Xu and Hans Uszkoreit 		pp. 335–339
pdf bib EBL-Hope: Multilingual Word Sense Disambiguation Using a Hybrid Knowledge-Based Technique
Eniafe Festus Ayetiran and Guido Boella 		pp. 340–344
pdf bib VUA-background : When to Use Background Information to Perform Word Sense Disambiguation
Marten Postma, Ruben Izquierdo and Piek Vossen 		pp. 345–349
pdf bib TeamUFAL: WSD+EL as Document Retrieval
Petr Fanta, Roman Sudarikov and Ondrej Bojar 		pp. 350–354
pdf bib EL92: Entity Linking Combining Open Source Annotators via Weighted Voting
Pablo Ruiz and Thierry Poibeau 		pp. 355–359
pdf bib UNIBA: Combining Distributional Semantic Models and Sense Distribution for Multilingual All-Words Sense Disambiguation and Entity Linking
Pierpaolo Basile, Annalina Caputo and Giovanni Semeraro 		pp. 360–364
pdf bib SUDOKU: Treating Word Sense Disambiguation & Entitiy Linking as a Deterministic Problem - via an Unsupervised & Iterative Approach
Steve L. Manion 		pp. 365–369
pdf bib TeamHCMUS: Analysis of Clinical Text
Nghia Huynh and Quoc Ho 		pp. 370–374
pdf bib UTU: Adapting Biomedical Event Extraction System to Disorder Attribute Detection
Kai Hakala 		pp. 375–379
pdf bib IHS-RD-Belarus: Identification and Normalization of Disorder Concepts in Clinical Notes
Maryna Chernyshevich and Vadim Stankevitch 		pp. 380–384
pdf bib UWM: A Simple Baseline Method for Identifying Attributes of Disease and Disorder Mentions in Clinical Text
Omid Ghiasvand and Rohit Kate 		pp. 385–388
pdf bib TAKELAB: Medical Information Extraction and Linking with MINERAL
Goran Glavaš 		pp. 389–393
pdf bib TMUNSW: Identification of Disorders and Normalization to SNOMED-CT Terminology in Unstructured Clinical Notes
Jitendra Jonnagaddala, Siaw-Teng Liaw, Pradeep Ray, Manish Kumar and Hong-Jie Dai 		pp. 394–398
pdf bib UtahPOET: Disorder Mention Identification and Context Slot Filling with Cognitive Inspiration
Kristina Doing-Harris, Sean Igo, Jianlin Shi and John Hurdle 		pp. 399–405
pdf bib ULisboa: Recognition and Normalization of Medical Concepts
André Leal, Bruno Martins and Francisco Couto 		pp. 406–411
pdf bib ezDI: A Supervised NLP System for Clinical Narrative Analysis
Parth Pathak, Pinal Patel, Vishal Panchal, Sagar Soni, Kinjal Dani, Amrish Patel and Narayan Choudhary 		pp. 412–416
pdf bib CUAB: Supervised Learning of Disorders and their Attributes using Relations
James Gung, John Osborne and Steven Bethard 		pp. 417–421
pdf bib BioinformaticsUA: Machine Learning and Rule-Based Recognition of Disorders and Clinical Attributes from Patient Notes
Sérgio Matos, José Sequeira and José Luís Oliveira 		pp. 422–426
pdf bib LIST-LUX: Disorder Identification from Clinical Texts
Asma Ben Abacha, Aikaterini Karanasiou, Yassine Mrabet and Julio Cesar Dos Reis 		pp. 427–432
pdf bib CMILLS: Adapting Semantic Role Labeling Features to Dependency Parsing
Chad Mills and Gina-Anne Levow 		pp. 433–437
pdf bib Duluth: Word Sense Discrimination in the Service of Lexicography
Ted Pedersen 		pp. 438–442
pdf bib SemEval-2015 Task 9: CLIPEval Implicit Polarity of Events
Irene Russo, Tommaso Caselli and Carlo Strapparava 		pp. 443–450
pdf bib SemEval-2015 Task 10: Sentiment Analysis in Twitter
Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, Saif Mohammad, Alan Ritter and Veselin Stoyanov 		pp. 451–463
pdf bib UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification
Aliaksei Severyn and Alessandro Moschitti 		pp. 464–469
pdf bib SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter
Aniruddha Ghosh, Guofu Li, Tony Veale, Paolo Rosso, Ekaterina Shutova, John Barnden and Antonio Reyes 		pp. 470–478
pdf bib CLaC-SentiPipe: SemEval2015 Subtasks 10 B,E, and Task 11
Canberk Özdemir and Sabine Bergler 		pp. 479–485
pdf bib SemEval-2015 Task 12: Aspect Based Sentiment Analysis
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Suresh Manandhar and Ion Androutsopoulos 		pp. 486–495
pdf bib NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target Extraction
Zhiqiang Toh and Jian Su 		pp. 496–501
pdf bib SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment Analysis
Mauro Dragoni 		pp. 502–509
pdf bib DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter
Abeed Sarker, Azadeh Nikfarjam, Davy Weissenbacher and Graciela Gonzalez 		pp. 510–514
pdf bib Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets
Li Dong, Furu Wei, Yichun Yin, Ming Zhou and Ke Xu 		pp. 515–519
pdf bib IIIT-H at SemEval 2015: Twitter Sentiment Analysis – The Good, the Bad and the Neutral!
Ayushi Dalmia, Manish Gupta and Vasudeva Varma 		pp. 520–526
pdf bib CIS-positive: A Combination of Convolutional Neural Networks and Support Vector Machines for Sentiment Analysis in Twitter
Sebastian Ebert, Ngoc Thang Vu and Hinrich Schütze 		pp. 527–532
pdf bib GTI: An Unsupervised Approach for Sentiment Analysis in Twitter
Milagros Fernández-Gavilanes, Tamara Álvarez-López, Jonathan Juncal-Martínez, Enrique Costa-Montenegro and Francisco Javier González-Castaño 		pp. 533–538
pdf bib Gradiant-Analytics: Training Polarity Shifters with CRFs for Message Level Polarity Detection
Héctor Cerezo-Costas and Diego Celix-Salgado 		pp. 539–544
pdf bib IOA: Improving SVM Based Sentiment Classification Through Post Processing
Peijia Li, Weiqun Xu, Chenglong Ma, Jia Sun and Yonghong Yan 		pp. 545–550
pdf bib RoseMerry: A Baseline Message-level Sentiment Classification System
Huizhi Liang, Richard Fothergill and Timothy Baldwin 		pp. 551–555
pdf bib UDLAP: Sentiment Analysis Using a Graph-Based Representation
Esteban Castillo, Ofelia Cervantes, Darnes Vilariño, David Báez and Alfredo Sánchez 		pp. 556–560
pdf bib ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features
Zhihua Zhang, Guoshun Wu and Man Lan 		pp. 561–567
pdf bib Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in Twitter
Hussam Hamdan, Patrice Bellot and Frederic Bechet 		pp. 568–573
pdf bib ELiRF: A SVM Approach for SA tasks in Twitter at SemEval-2015
Mayte Giménez, Ferran Pla and Lluís-F. Hurtado 		pp. 574–581
pdf bib Webis: An Ensemble for Twitter Sentiment Detection
Matthias Hagen, Martin Potthast, Michel Büchner and Benno Stein 		pp. 582–589
pdf bib Sentibase: Sentiment Analysis in Twitter on a Budget
Satarupa Guha, Aditya Joshi and Vasudeva Varma 		pp. 590–594
pdf bib UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging, Lexicon and Semantic Features
Pierpaolo Basile and Nicole Novielli 		pp. 595–600
pdf bib IITPSemEval: Sentiment Discovery from 140 Characters
Ayush Kumar, Vamsi Krishna and Asif Ekbal 		pp. 601–607
pdf bib Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment
Fatih Uzdilli, Martin Jaggi, Dominic Egger, Pascal Julmy, Leon Derczynski and Mark Cieliebak 		pp. 608–612
pdf bib INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction
Silvio Amir, Wang Ling, Ramón Astudillo, Bruno Martins, Mario J. Silva and Isabel Trancoso 		pp. 613–618
pdf bib KLUEless: Polarity Classification and Association
Nataliia Plotnikova, Micha Kohl, Kevin Volkert, Stefan Evert, Andreas Lerner, Natalie Dykes and Heiko Ermer 		pp. 619–625
pdf bib SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification
Ruth Talbot, Chloe Acheampong and Richard Wicentowski 		pp. 626–630
pdf bib SWATCS65: Sentiment Classification Using an Ensemble of Class Projects
Richard Wicentowski 		pp. 631–635
pdf bib SWATAC: A Sentiment Analyzer using One-Vs-Rest Logistic Regression
Yousef Alhessi and Richard Wicentowski 		pp. 636–639
pdf bib TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis
William Boag, Peter Potash and Anna Rumshisky 		pp. 640–646
pdf bib SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning
Prerna Chikersal, Soujanya Poria and Erik Cambria 		pp. 647–651
pdf bib INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces
Ramón Astudillo, Silvio Amir, Wang Ling, Bruno Martins, Mario J. Silva and Isabel Trancoso 		pp. 652–656
pdf bib WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition
Richard Townsend, Adam Tsakalidis, Yiwei Zhou, Bo Wang, Maria Liakata, Arkaitz Zubiaga, Alexandra Cristea and Rob Procter 		pp. 657–663
pdf bib UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015
Xu Han, Binyang Li, Jing Ma, Yuxiao Zhang, Gaoyan Ou, Tengjiao Wang and Kam-fai Wong 		pp. 664–668
pdf bib SWAT-CMW: Classification of Twitter Emotional Polarity using a Multiple-Classifier Decision Schema and Enhanced Emotion Tagging
Riley Collins, Daniel May, Noah Weinthal and Richard Wicentowski 		pp. 669–672
pdf bib LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets
Hongzhi Xu, Enrico Santus, Anna Laszlo and Chu-Ren Huang 		pp. 673–678
pdf bib KELabTeam: A Statistical Approach on Figurative Language Sentiment Analysis in Twitter
Hoang Long Nguyen, Trung Duc Nguyen, Dosam Hwang and Jason J. Jung 		pp. 679–683
pdf bib LT3: Sentiment Analysis of Figurative Tweets: piece of cake #NotReally
Cynthia Van Hee, Els Lefever and Veronique Hoste 		pp. 684–688
pdf bib PRHLT: Combination of Deep Autoencoders with Classification and Regression Techniques for SemEval-2015 Task 11
Parth Gupta and Jon Ander Gómez 		pp. 689–693
pdf bib ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm
Delia Irazú Hernández Farías, Emilio Sulis, Viviana Patti, Giancarlo Ruffo and Cristina Bosco 		pp. 694–698
pdf bib CPH: Sentiment analysis of Figurative Language on Twitter #easypeasy #not
Sarah McGillion, Héctor Martínez Alonso and Barbara Plank 		pp. 699–703
pdf bib UPF-taln: SemEval 2015 Tasks 10 and 11. Sentiment Analysis of Literal and Figurative Language in Twitter
Francesco Barbieri, Francesco Ronzano and Horacio Saggion 		pp. 704–708
pdf bib DsUniPi: An SVM-based Approach for Sentiment Analysis of Figurative Language on Twitter
Maria Karanasou, Christos Doulkeridis and Maria Halkidi 		pp. 709–713
pdf bib V3: Unsupervised Aspect Based Sentiment Analysis for SemEval2015 Task 12
Aitor García Pablos, Montse Cuadros and German Rigau 		pp. 714–718
pdf bib LT3: Applying Hybrid Terminology Extraction to Aspect-Based Sentiment Analysis
Orphee De Clercq, Marjan Van de Kauter, Els Lefever and Veronique Hoste 		pp. 719–724
pdf bib UFRGS: Identifying Categories and Targets in Customer Reviews
Anderson Kauer and Viviane Moreira 		pp. 725–729
pdf bib SINAI: Syntactic Approach for Aspect-Based Sentiment Analysis
Salud M. Jiménez-Zafra, Eugenio Martínez-Cámara, M. Teresa Martín-Valdivia and L. Alfonso Ureña López 		pp. 730–735
pdf bib ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews
Zhihua Zhang and Man Lan 		pp. 736–741
pdf bib UMDuluth-CS8761-12: A Novel Machine Learning Approach for Aspect Based Sentiment Analysis
Ravikanth Repaka, Ranga Reddy Pallelra, Akshay Reddy Koppula and Venkata Subhash Movva 		pp. 742–747
pdf bib EliXa: A Modular and Flexible ABSA Platform
Iñaki San Vicente, Xabier Saralegi and Rodrigo Agerri 		pp. 748–752
pdf bib Lsislif: CRF and Logistic Regression for Opinion Target Extraction and Sentiment Polarity Analysis
Hussam Hamdan, Patrice Bellot and Frederic Bechet 		pp. 753–758
pdf bib SIEL: Aspect Based Sentiment Analysis in Reviews
Satarupa Guha, Aditya Joshi and Vasudeva Varma 		pp. 759–766
pdf bib Sentiue: Target and Aspect based Sentiment Analysis in SemEval-2015 Task 12
José Saias 		pp. 767–771
pdf bib TJUdeM: A Combination Classifier for Aspect Category Detection and Sentiment Polarity Classification
Zhifei Zhang, Jian-Yun Nie and Hongling Wang 		pp. 772–777
pdf bib SemEval-2015 Task 4: TimeLine: Cross-Document Event Ordering
Anne-Lyse Minard, Manuela Speranza, Eneko Agirre, Itziar Aldabe, Marieke van Erp, Bernardo Magnini, German Rigau and Ruben Urizar 		pp. 778–786
pdf bib SPINOZA_VU: An NLP Pipeline for Cross Document TimeLines
Tommaso Caselli, Antske Fokkens, Roser Morante and Piek Vossen 		pp. 787–791
pdf bib SemEval-2015 Task 5: QA TempEval - Evaluating Temporal Information Understanding with Question Answering
Hector Llorens, Nathanael Chambers, Naushad UzZaman, Nasrin Mostafazadeh, James Allen and James Pustejovsky 		pp. 792–800
pdf bib HLT-FBK: a Complete Temporal Processing System for QA TempEval
Paramita Mirza and Anne-Lyse Minard 		pp. 801–805
pdf bib SemEval-2015 Task 6: Clinical TempEval
Steven Bethard, Leon Derczynski, Guergana Savova, James Pustejovsky and Marc Verhagen 		pp. 806–814
pdf bib BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge
Sumithra Velupillai, Danielle L Mowery, Samir Abdelrahman, Lee Christensen and Wendy Chapman 		pp. 815–819
pdf bib GPLSIUA: Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering
Borja Navarro and Estela Saquete 		pp. 820–824
pdf bib HeidelToul: A Baseline Approach for Cross-document Event Ordering
Bilel Moulahi, Jannik Strötgen, Michael Gertz and Lynda Tamine 		pp. 825–829
pdf bib HITSZ-ICRC: An Integration Approach for QA TempEval Challenge
Yongshuai Hou, Cong Tan, Qingcai Chen and Xiaolong Wang 		pp. 830–834
pdf bib UFPRSheffield: Contrasting Rule-based and Support Vector Machine Approaches to Time Expression Identification in Clinical TempEval
Hegler Tissot, Genevieve Gorrell, Angus Roberts, Leon Derczynski and Marcos Didonet Del Fabro 		pp. 835–839
pdf bib IXAGroupEHUDiac: A Multiple Approach System towards the Diachronic Evaluation of Texts
Haritz Salaberri, Iker Salaberri, Olatz Arregi and Beñat Zapirain 		pp. 840–845
pdf bib USAAR-CHRONOS: Crawling the Web for Temporal Annotations
Liling Tan and Noam Ordan 		pp. 846–850
pdf bib AMBRA: A Ranking Approach to Temporal Text Classification
Marcos Zampieri, Alina Maria Ciobanu, Vlad Niculae and Liviu P. Dinu 		pp. 851–855
pdf bib IXAGroupEHUSpaceEval: (X-Space) A WordNet-based approach towards the Automatic Recognition of Spatial Information following the ISO-Space Annotation Scheme
Haritz Salaberri, Olatz Arregi and Beñat Zapirain 		pp. 856–861
pdf bib UTD: Ensemble-Based Spatial Relation Extraction
Jennifer D’Souza and Vincent Ng 		pp. 862–869
pdf bib SemEval 2015, Task 7: Diachronic Text Evaluation
Octavian Popescu and Carlo Strapparava 		pp. 870–878
pdf bib UCD : Diachronic Text Classification with Character, Word, and Syntactic N-grams
Terrence Szymanski and Gerard Lynch 		pp. 879–883
pdf bib SemEval-2015 Task 8: SpaceEval
James Pustejovsky, Parisa Kordjamshidi, Marie-Francine Moens, Aaron Levine, Seth Dworman and Zachary Yocum 		pp. 884–894
pdf bib SpRL-CWW: Spatial Relation Classification with Independent Multi-class Models
Eric Nichols and Fadi Botros 		pp. 895–901
pdf bib SemEval-2015 Task 17: Taxonomy Extraction Evaluation (TExEval)
Georgeta Bordea, Paul Buitelaar, Stefano Faralli and Roberto Navigli 		pp. 902–910
pdf bib INRIASAC: Simple Hypernym Extraction Methods
Gregory Grefenstette 		pp. 911–914
pdf bib SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing
Stephan Oepen, Marco Kuhlmann, Yusuke Miyao, Daniel Zeman, Silvie Cinkova, Dan Flickinger, Jan Hajic and Zdenka Uresova 		pp. 915–926
pdf bib Peking: Building Semantic Dependency Graphs with a Hybrid Parser
Yantao Du, Fan Zhang, Xun Zhang, Weiwei Sun and Xiaojun Wan 		pp. 927–931
pdf bib USAAR-WLV: Hypernym Generation with Deep Neural Nets
Liling Tan, Rohit Gupta and Josef van Genabith 		pp. 932–937
pdf bib NTNU: An Unsupervised Knowledge Approach for Taxonomy Extraction
Bamfa Ceesay and Wen Juan Hou 		pp. 938–943
pdf bib LT3: A Multi-modular Approach to Automatic Taxonomy Construction
Els Lefever 		pp. 944–948
pdf bib TALN-UPF: Taxonomy Learning Exploiting CRF-Based Hypernym Extraction on Encyclopedic Definitions
Luis Espinosa Anke, Horacio Saggion and Francesco Ronzano 		pp. 949–954
pdf bib QASSIT: A Pretopological Framework for the Automatic Construction of Lexical Taxonomies from Raw Texts
Guillaume Cleuziou, Davide Buscaldi, Gaël Dias, Vincent Levorato and Christine Largeron 		pp. 955–959
pdf bib Riga: from FrameNet to Semantic Frames with C6.0 Rules
Guntis Barzdins, Peteris Paikens and Didzis Gosko 		pp. 960–964
pdf bib Turku: Semantic Dependency Parsing as a Sequence Classification
Jenna Kanerva, Juhani Luotolahti and Filip Ginter 		pp. 965–969
pdf bib Lisbon: Evaluating TurboSemanticParser on Multiple Languages and Out-of-Domain Data
Mariana S. C. Almeida and André F. T. Martins 		pp. 970–973

Last modified on May 6, 2015, 11:56 a.m.