Lexical and Computational Semantics and Semantic Evaluation (formerly Workshop on Sense Evaluation) (2015)

1 volumes · 162 papers (100% with DOI) · 499 unique authors (32% verified with ORCID)

Volumes

Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) SemEval 163 papers

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

Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
Preslav Nakov | Torsten Zesch | Daniel Cer | David Jurgens

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SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)
Wei Xu | Chris Callison-Burch | Bill Dolan

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MITRE: Seven Systems for Semantic Similarity in Tweets
Guido Zarrella | John Henderson | Elizabeth M. Merkhofer | Laura Strickhart

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CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task
Helena Gomez | Darnes Vilariño | David Pinto | Grigori Sidorov

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HLTC-HKUST: A Neural Network Paraphrase Classifier using Translation Metrics, Semantic Roles and Lexical Similarity Features
Dario Bertero | Pascale Fung

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FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter
Ngoc Phuoc An Vo | Simone Magnolini | Octavian Popescu

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ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter
Jiang Zhao | Man Lan

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ROB: Using Semantic Meaning to Recognize Paraphrases
Rob van der Goot | Gertjan van Noord

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AMRITA_CEN@SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders
Mahalakshmi Shanumuga Sundaram | Anand Kumar Madasamy | Soman Kotti Padannayil

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Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgrams
Taneeya Satyapanich | Hang Gao | Tim Finin

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RTM-DCU: Predicting Semantic Similarity with Referential Translation Machines
Ergun Biçici

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Twitter Paraphrase Identification with Simple Overlap Features and SVMs
Asli Eyecioglu | Bill Keller

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CDTDS: Predicting Paraphrases in Twitter via Support Vector Regression
Rafael Michael Karampatsis

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yiGou: A Semantic Text Similarity Computing System Based on SVM
Yang Liu | Chengjie Sun | Lei Lin | Xiaolong Wang

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USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics
Liling Tan | Carolina Scarton | Lucia Specia | Josef van Genabith

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TrWP: Text Relatedness using Word and Phrase Relatedness
Md Rashadul Hasan Rakib | Aminul Islam | Evangelos Milios

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FBK-HLT: A New Framework for Semantic Textual Similarity
Ngoc Phuoc An Vo | Simone Magnolini | Octavian Popescu

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UMDuluth-BlueTeam: SVCSTS - A Multilingual and Chunk Level Semantic Similarity System
Sakethram Karumuri | Viswanadh Kumar Reddy Vuggumudi | Sai Charan Raj Chitirala

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SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching
Nataliia Plotnikova | Gabriella Lapesa | Thomas Proisl | Stefan Evert

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ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation
Jiang Zhao | Man Lan | Jun Feng Tian

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UQeResearch: Semantic Textual Similarity Quantification
Hamed Hassanzadeh | Tudor Groza | Anthony Nguyen | Jane Hunter

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WSL: Sentence Similarity Using Semantic Distance Between Words
Naoko Miura | Tomohiro Takagi

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SOPA: Random Forests Regression for the Semantic Textual Similarity task
Davide Buscaldi | Jorge García Flores | Ivan V. Meza | Isaac Rodríguez

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MathLingBudapest: Concept Networks for Semantic Similarity
Gábor Recski | Judit Ács

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DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2
Piyush Arora | Chris Hokamp | Jennifer Foster | Gareth Jones

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DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition
Md Arafat Sultan | Steven Bethard | Tamara Sumner

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FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity
Basma Hassan | Samir AbdelRahman | Reem Bahgat

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AZMAT: Sentence Similarity Using Associative Matrices
Evan Jaffe | Lifeng Jin | David King | Marten van Schijndel

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Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity
Lushan Han | Justin Martineau | Doreen Cheng | Christopher Thomas

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ASAP-II: From the Alignment of Phrases to Textual Similarity
Ana Alves | David Simões | Hugo Gonçalo Oliveira | Adriana Ferrugento

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TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity
Tu Thanh Vu | Quan Hung Tran | Son Bao Pham

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ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge
Xiaoqiang Zhou | Baotian Hu | Jiaxin Lin | Yang Xiang | Xiaolong Wang

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JAIST: Combining multiple features for Answer Selection in Community Question Answering
Quan Hung Tran | Vu Duc Tran | Tu Thanh Vu | Minh Le Nguyen | Son Bao Pham

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Shiraz: A Proposed List Wise Approach to Answer Validation
Amin Heydari Alashty | Saeed Rahmani | Meysam Roostaee | Mostafa Fakhrahmad

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Al-Bayan: A Knowledge-based System for Arabic Answer Selection
Reham Mohamed | Maha Ragab | Heba Abdelnasser | Nagwa M. El-Makky | Marwan Torki

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FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering
Ngoc Phuoc An Vo | Simone Magnolini | Octavian Popescu

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ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference
Liang Yi | JianXiang Wang | Man Lan

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CoMiC: Adapting a Short Answer Assessment System for Answer Selection
Björn Rudzewitz | Ramon Ziai

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ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity
Christian Hänig | Robert Remus | Xose De La Puente

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VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems
Yonatan Belinkov | Mitra Mohtarami | Scott Cyphers | James Glass

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SemEval-2015 Task 13: Multilingual All-Words Sense Disambiguation and Entity Linking
Andrea Moro | Roberto Navigli

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LIMSI: Translations as Source of Indirect Supervision for Multilingual All-Words Sense Disambiguation and Entity Linking
Marianna Apidianaki | Li Gong

BLCUNLP: Corpus Pattern Analysis for Verbs Based on Dependency Chain
Yukun Feng | Qiao Deng | Dong Yu

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WSD-games: a Game-Theoretic Algorithm for Unsupervised Word Sense Disambiguation
Rocco Tripodi | Marcello Pelillo

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DFKI: Multi-objective Optimization for the Joint Disambiguation of Entities and Nouns & Deep Verb Sense Disambiguation
Dirk Weissenborn | Feiyu Xu | Hans Uszkoreit

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EBL-Hope: Multilingual Word Sense Disambiguation Using a Hybrid Knowledge-Based Technique
Eniafe Festus Ayetiran | Guido Boella

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VUA-background : When to Use Background Information to Perform Word Sense Disambiguation
Marten Postma | Ruben Izquierdo | Piek Vossen

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TeamUFAL: WSD+EL as Document Retrieval
Petr Fanta | Roman Sudarikov | Ondřej Bojar

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EL92: Entity Linking Combining Open Source Annotators via Weighted Voting
Pablo Ruiz | Thierry Poibeau

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UNIBA: Combining Distributional Semantic Models and Sense Distribution for Multilingual All-Words Sense Disambiguation and Entity Linking
Pierpaolo Basile | Annalina Caputo | Giovanni Semeraro

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SUDOKU: Treating Word Sense Disambiguation & Entitiy Linking as a Deterministic Problem - via an Unsupervised & Iterative Approach
Steve L. Manion

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TeamHCMUS: Analysis of Clinical Text
Nghia Huynh | Quoc Ho

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UTU: Adapting Biomedical Event Extraction System to Disorder Attribute Detection
Kai Hakala

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IHS-RD-Belarus: Identification and Normalization of Disorder Concepts in Clinical Notes
Maryna Chernyshevich | Vadim Stankevitch

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UWM: A Simple Baseline Method for Identifying Attributes of Disease and Disorder Mentions in Clinical Text
Omid Ghiasvand | Rohit Kate

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TAKELAB: Medical Information Extraction and Linking with MINERAL
Goran Glavaš

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TMUNSW: Identification of Disorders and Normalization to SNOMED-CT Terminology in Unstructured Clinical Notes
Jitendra Jonnagaddala | Siaw-Teng Liaw | Pradeep Ray | Manish Kumar | Hong-Jie Dai

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UtahPOET: Disorder Mention Identification and Context Slot Filling with Cognitive Inspiration
Kristina Doing-Harris | Sean Igo | Jianlin Shi | John Hurdle

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ULisboa: Recognition and Normalization of Medical Concepts
André Leal | Bruno Martins | Francisco Couto

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CUAB: Supervised Learning of Disorders and their Attributes using Relations
James Gung | John David Osborne | Steven Bethard

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BioinformaticsUA: Machine Learning and Rule-Based Recognition of Disorders and Clinical Attributes from Patient Notes
Sérgio Matos | José Sequeira | José Luís Oliveira

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LIST-LUX: Disorder Identification from Clinical Texts
Asma Ben Abacha | Aikaterini Karanasiou | Yassine Mrabet | Julio Cesar Dos Reis

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CMILLS: Adapting Semantic Role Labeling Features to Dependency Parsing
Chad Mills | Gina-Anne Levow

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Duluth: Word Sense Discrimination in the Service of Lexicography
Ted Pedersen

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SemEval-2015 Task 9: CLIPEval Implicit Polarity of Events
Irene Russo | Tommaso Caselli | Carlo Strapparava

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UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification
Aliaksei Severyn | Alessandro Moschitti

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CLaC-SentiPipe: SemEval2015 Subtasks 10 B,E, and Task 11
Canberk Özdemir | Sabine Bergler

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SemEval-2015 Task 12: Aspect Based Sentiment Analysis
Maria Pontiki | Dimitris Galanis | Haris Papageorgiou | Suresh Manandhar | Ion Androutsopoulos

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NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target Extraction
Zhiqiang Toh | Jian Su

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SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment Analysis
Mauro Dragoni

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DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter
Abeed Sarker | Azadeh Nikfarjam | Davy Weissenbacher | Graciela Gonzalez

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Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets
Li Dong | Furu Wei | Yichun Yin | Ming Zhou | Ke Xu

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IIIT-H at SemEval 2015: Twitter Sentiment Analysis – The Good, the Bad and the Neutral!
Ayushi Dalmia | Manish Gupta | Vasudeva Varma

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CIS-positive: A Combination of Convolutional Neural Networks and Support Vector Machines for Sentiment Analysis in Twitter
Sebastian Ebert | Ngoc Thang Vu | Hinrich Schütze

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GTI: An Unsupervised Approach for Sentiment Analysis in Twitter
Milagros Fernández-Gavilanes | Tamara Álvarez-López | Jonathan Juncal-Martínez | Enrique Costa-Montenegro | Francisco Javier González-Castaño

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Gradiant-Analytics: Training Polarity Shifters with CRFs for Message Level Polarity Detection
Héctor Cerezo-Costas | Diego Celix-Salgado

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IOA: Improving SVM Based Sentiment Classification Through Post Processing
Peijia Li | Weiqun Xu | Chenglong Ma | Jia Sun | Yonghong Yan

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RoseMerry: A Baseline Message-level Sentiment Classification System
Huizhi Liang | Richard Fothergill | Timothy Baldwin

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UDLAP: Sentiment Analysis Using a Graph-Based Representation
Esteban Castillo | Ofelia Cervantes | Darnes Vilariño | David Báez | Alfredo Sánchez

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ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features
Zhihua Zhang | Guoshun Wu | Man Lan

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Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in Twitter
Hussam Hamdan | Patrice Bellot | Frederic Bechet

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ELiRF: A SVM Approach for SA tasks in Twitter at SemEval-2015
Mayte Giménez | Ferran Pla | Lluís-F. Hurtado

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Webis: An Ensemble for Twitter Sentiment Detection
Matthias Hagen | Martin Potthast | Michel Büchner | Benno Stein

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Sentibase: Sentiment Analysis in Twitter on a Budget
Satarupa Guha | Aditya Joshi | Vasudeva Varma

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UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging, Lexicon and Semantic Features
Pierpaolo Basile | Nicole Novielli

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IITPSemEval: Sentiment Discovery from 140 Characters
Ayush Kumar | Vamsi Krishna | Asif Ekbal

SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification
Ruth Talbot | Chloe Acheampong | Richard Wicentowski

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SWATCS65: Sentiment Classification Using an Ensemble of Class Projects
Richard Wicentowski

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SWATAC: A Sentiment Analyzer using One-Vs-Rest Logistic Regression
Yousef Alhessi | Richard Wicentowski

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TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis
William Boag | Peter Potash | Anna Rumshisky

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SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning
Prerna Chikersal | Soujanya Poria | Erik Cambria

SWAT-CMW: Classification of Twitter Emotional Polarity using a Multiple-Classifier Decision Schema and Enhanced Emotion Tagging
Riley Collins | Daniel May | Noah Weinthal | Richard Wicentowski

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LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets
Hongzhi Xu | Enrico Santus | Anna Laszlo | Chu-Ren Huang

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KELabTeam: A Statistical Approach on Figurative Language Sentiment Analysis in Twitter
Hoang Long Nguyen | Trung Duc Nguyen | Dosam Hwang | Jason J. Jung

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LT3: Sentiment Analysis of Figurative Tweets: piece of cake #NotReally
Cynthia Van Hee | Els Lefever | Véronique Hoste

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PRHLT: Combination of Deep Autoencoders with Classification and Regression Techniques for SemEval-2015 Task 11
Parth Gupta | Jon Ander Gómez

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ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm
Delia Irazú Hernández Farías | Emilio Sulis | Viviana Patti | Giancarlo Ruffo | Cristina Bosco

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CPH: Sentiment analysis of Figurative Language on Twitter #easypeasy #not
Sarah McGillion | Héctor Martínez Alonso | Barbara Plank

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UPF-taln: SemEval 2015 Tasks 10 and 11. Sentiment Analysis of Literal and Figurative Language in Twitter
Francesco Barbieri | Francesco Ronzano | Horacio Saggion

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DsUniPi: An SVM-based Approach for Sentiment Analysis of Figurative Language on Twitter
Maria Karanasou | Christos Doulkeridis | Maria Halkidi

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V3: Unsupervised Aspect Based Sentiment Analysis for SemEval2015 Task 12
Aitor García-Pablos | Montse Cuadros | German Rigau

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LT3: Applying Hybrid Terminology Extraction to Aspect-Based Sentiment Analysis
Orphée De Clercq | Marjan Van de Kauter | Els Lefever | Véronique Hoste

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UFRGS: Identifying Categories and Targets in Customer Reviews
Anderson Kauer | Viviane P. Moreira

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SINAI: Syntactic Approach for Aspect-Based Sentiment Analysis
Salud M. Jiménez-Zafra | Eugenio Martínez-Cámara | M. Teresa Martín-Valdivia | L. Alfonso Ureña-López

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ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews
Zhihua Zhang | Man Lan

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UMDuluth-CS8761-12: A Novel Machine Learning Approach for Aspect Based Sentiment Analysis
Ravikanth Repaka | Ranga Reddy Pallelra | Akshay Reddy Koppula | Venkata Subhash Movva

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EliXa: A Modular and Flexible ABSA Platform
Iñaki San Vicente | Xabier Saralegi | Rodrigo Agerri

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Lsislif: CRF and Logistic Regression for Opinion Target Extraction and Sentiment Polarity Analysis
Hussam Hamdan | Patrice Bellot | Frederic Bechet

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SIEL: Aspect Based Sentiment Analysis in Reviews
Satarupa Guha | Aditya Joshi | Vasudeva Varma

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Sentiue: Target and Aspect based Sentiment Analysis in SemEval-2015 Task 12
José Saias

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TJUdeM: A Combination Classifier for Aspect Category Detection and Sentiment Polarity Classification
Zhifei Zhang | Jian-Yun Nie | Hongling Wang

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SPINOZA_VU: An NLP Pipeline for Cross Document TimeLines
Tommaso Caselli | Antske Fokkens | Roser Morante | Piek Vossen

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HLT-FBK: a Complete Temporal Processing System for QA TempEval
Paramita Mirza | Anne-Lyse Minard

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SemEval-2015 Task 6: Clinical TempEval
Steven Bethard | Leon Derczynski | Guergana Savova | James Pustejovsky | Marc Verhagen

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BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge
Sumithra Velupillai | Danielle L Mowery | Samir Abdelrahman | Lee Christensen | Wendy Chapman

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GPLSIUA: Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering
Borja Navarro | Estela Saquete

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HeidelToul: A Baseline Approach for Cross-document Event Ordering
Bilel Moulahi | Jannik Strötgen | Michael Gertz | Lynda Tamine

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HITSZ-ICRC: An Integration Approach for QA TempEval Challenge
Yongshuai Hou | Cong Tan | Qingcai Chen | Xiaolong Wang

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UFPRSheffield: Contrasting Rule-based and Support Vector Machine Approaches to Time Expression Identification in Clinical TempEval
Hegler Tissot | Genevieve Gorrell | Angus Roberts | Leon Derczynski | Marcos Didonet Del Fabro

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IXAGroupEHUDiac: A Multiple Approach System towards the Diachronic Evaluation of Texts
Haritz Salaberri | Iker Salaberri | Olatz Arregi | Beñat Zapirain

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USAAR-CHRONOS: Crawling the Web for Temporal Annotations
Liling Tan | Noam Ordan

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AMBRA: A Ranking Approach to Temporal Text Classification
Marcos Zampieri | Alina Maria Ciobanu | Vlad Niculae | Liviu P. Dinu

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IXAGroupEHUSpaceEval: (X-Space) A WordNet-based approach towards the Automatic Recognition of Spatial Information following the ISO-Space Annotation Scheme
Haritz Salaberri | Olatz Arregi | Beñat Zapirain

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UTD: Ensemble-Based Spatial Relation Extraction
Jennifer D’Souza | Vincent Ng

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SemEval 2015, Task 7: Diachronic Text Evaluation
Octavian Popescu | Carlo Strapparava

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UCD : Diachronic Text Classification with Character, Word, and Syntactic N-grams
Terrence Szymanski | Gerard Lynch

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SpRL-CWW: Spatial Relation Classification with Independent Multi-class Models
Eric Nichols | Fadi Botros

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SemEval-2015 Task 17: Taxonomy Extraction Evaluation (TExEval)
Georgeta Bordea | Paul Buitelaar | Stefano Faralli | Roberto Navigli

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INRIASAC: Simple Hypernym Extraction Methods
Gregory Grefenstette

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Peking: Building Semantic Dependency Graphs with a Hybrid Parser
Yantao Du | Fan Zhang | Xun Zhang | Weiwei Sun | Xiaojun Wan

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USAAR-WLV: Hypernym Generation with Deep Neural Nets
Liling Tan | Rohit Gupta | Josef van Genabith

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NTNU: An Unsupervised Knowledge Approach for Taxonomy Extraction
Bamfa Ceesay | Wen Juan Hou

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LT3: A Multi-modular Approach to Automatic Taxonomy Construction
Els Lefever

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TALN-UPF: Taxonomy Learning Exploiting CRF-Based Hypernym Extraction on Encyclopedic Definitions
Luis Espinosa-Anke | Horacio Saggion | Francesco Ronzano

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QASSIT: A Pretopological Framework for the Automatic Construction of Lexical Taxonomies from Raw Texts
Guillaume Cleuziou | Davide Buscaldi | Gael Dias | Vincent Levorato | Christine Largeron

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Riga: from FrameNet to Semantic Frames with C6.0 Rules
Guntis Barzdins | Peteris Paikens | Didzis Gosko

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Turku: Semantic Dependency Parsing as a Sequence Classification
Jenna Kanerva | Juhani Luotolahti | Filip Ginter

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Lisbon: Evaluating TurboSemanticParser on Multiple Languages and Out-of-Domain Data
Mariana S. C. Almeida | André F. T. Martins