SemEval 2015: all accepted papers
- Turku: Semantic Dependency Parsing as a Sequence Classification ↗Jenna Kanerva, Juhani Luotolahti, Filip Ginter7 citations
- UQeResearch: Semantic Textual Similarity Quantification ↗Hamed Hassanzadeh, Tudor Groza, Anthony Nguyen et al.7 citations
- WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition ↗Richard Townsend, Adam Tsakalidis, Yiwei Zhou et al.7 citations
- GPLSIUA: Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering ↗Borja Navarro, Estela Saquete6 citations
- HLT-FBK: a Complete Temporal Processing System for QA TempEval ↗Paramita Mirza, Anne-Lyse Minard6 citations
- IXAGroupEHUDiac: A Multiple Approach System towards the Diachronic Evaluation of Texts ↗Haritz Salaberri, Iker Salaberri, Olatz Arregi et al.6 citations
- SOPA: Random Forests Regression for the Semantic Textual Similarity task ↗Davide Buscaldi, Jorge García Flores, Ivan V. Meza et al.6 citations
- TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay ↗Vanja Mladen Karan, Goran Glavaš, Jan Šnajder et al.6 citations
- UFPRSheffield: Contrasting Rule-based and Support Vector Machine Approaches to Time Expression Identification in Clinical TempEval ↗Hegler Tissot, Genevieve Gorrell, Angus Roberts et al.6 citations
- yiGou: A Semantic Text Similarity Computing System Based on SVM ↗Yang Liu, Chengjie Sun, Lei Lin et al.6 citations
- AMRITA_CEN@SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders ↗Mahalakshmi Shanumuga Sundaram, Anand Kumar Madasamy, Soman Kotti Padannayil5 citations
- CDTDS: Predicting Paraphrases in Twitter via Support Vector Regression ↗Rafael Michael Karampatsis5 citations
- CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task ↗Helena Gomez, Darnes Vilariño, David Pinto et al.5 citations
- Duluth: Word Sense Discrimination in the Service of Lexicography ↗Ted Pedersen5 citations
- Gradiant-Analytics: Training Polarity Shifters with CRFs for Message Level Polarity Detection ↗Héctor Cerezo-Costas, Diego Celix-Salgado5 citations
- SINAI: Syntactic Approach for Aspect-Based Sentiment Analysis ↗Salud M. Jiménez-Zafra, Eugenio Martínez-Cámara, M. Teresa Martín-Valdivia et al.5 citations
- TrWP: Text Relatedness using Word and Phrase Relatedness ↗Md Rashadul Hasan Rakib, Aminul Islam, Evangelos Milios5 citations
- UNIBA: Combining Distributional Semantic Models and Sense Distribution for Multilingual All-Words Sense Disambiguation and Entity Linking ↗Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro5 citations
- CPH: Sentiment analysis of Figurative Language on Twitter \#easypeasy \#not ↗Sarah McGillion, Héctor Martínez Alonso, Barbara Plank4 citations
- DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2 ↗Piyush Arora, Chris Hokamp, Jennifer Foster et al.4 citations
- Riga: from FrameNet to Semantic Frames with C6.0 Rules ↗Guntis Barzdins, Peteris Paikens, Didzis Gosko4 citations
- SWAT-CMW: Classification of Twitter Emotional Polarity using a Multiple-Classifier Decision Schema and Enhanced Emotion Tagging ↗Riley Collins, Daniel May, Noah Weinthal et al.4 citations
- TALN-UPF: Taxonomy Learning Exploiting CRF-Based Hypernym Extraction on Encyclopedic Definitions ↗Luis Espinosa-Anke, Horacio Saggion, Francesco Ronzano4 citations
- UWM: A Simple Baseline Method for Identifying Attributes of Disease and Disorder Mentions in Clinical Text ↗Omid Ghiasvand, Rohit Kate4 citations
- WSD-games: a Game-Theoretic Algorithm for Unsupervised Word Sense Disambiguation ↗Rocco Tripodi, Marcello Pelillo4 citations
- ASAP-II: From the Alignment of Phrases to Textual Similarity ↗Ana Alves, David Simões, Hugo Gonçalo Oliveira et al.3 citations
- DFKI: Multi-objective Optimization for the Joint Disambiguation of Entities and Nouns & Deep Verb Sense Disambiguation ↗Dirk Weissenborn, Feiyu Xu, Hans Uszkoreit3 citations
- ROB: Using Semantic Meaning to Recognize Paraphrases ↗Rob van der Goot, Gertjan van Noord3 citations
- SemEval-2015 Task 15: A CPA dictionary-entry-building task ↗Vít Baisa, Jane Bradbury, Silvie Cinková et al.3 citations
- Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment ↗Fatih Uzdilli, Martin Jaggi, Dominic Egger et al.3 citations
- TMUNSW: Identification of Disorders and Normalization to SNOMED-CT Terminology in Unstructured Clinical Notes ↗Jitendra Jonnagaddala, Siaw-Teng Liaw, Pradeep Ray et al.3 citations
- TeamHCMUS: Analysis of Clinical Text ↗Nghia Huynh, Quoc Ho3 citations
- USAAR-CHRONOS: Crawling the Web for Temporal Annotations ↗Liling Tan, Noam Ordan3 citations
- UTU: Adapting Biomedical Event Extraction System to Disorder Attribute Detection ↗Kai Hakala3 citations
- CMILLS: Adapting Semantic Role Labeling Features to Dependency Parsing ↗Chad Mills, Gina-Anne Levow2 citations
- CoMiC: Adapting a Short Answer Assessment System for Answer Selection ↗Björn Rudzewitz, Ramon Ziai2 citations
- FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter ↗Ngoc Phuoc An Vo, Simone Magnolini, Octavian Popescu2 citations
- FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity ↗Basma Hassan, Samir AbdelRahman, Reem Bahgat2 citations
- Shiraz: A Proposed List Wise Approach to Answer Validation ↗Amin Heydari Alashty, Saeed Rahmani, Meysam Roostaee et al.2 citations
- TAKELAB: Medical Information Extraction and Linking with MINERAL ↗Goran Glavaš2 citations
- TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity ↗Tu Thanh Vu, Quan Hung Tran, Son Bao Pham2 citations
- UtahPOET: Disorder Mention Identification and Context Slot Filling with Cognitive Inspiration ↗Kristina Doing-Harris, Sean Igo, Jianlin Shi et al.2 citations
- AZMAT: Sentence Similarity Using Associative Matrices ↗Evan Jaffe, Lifeng Jin, David King et al.1 citation
- CUAB: Supervised Learning of Disorders and their Attributes using Relations ↗James Gung, John David Osborne, Steven Bethard1 citation
- EL92: Entity Linking Combining Open Source Annotators via Weighted Voting ↗Pablo Ruiz, Thierry Poibeau1 citation
- HITSZ-ICRC: An Integration Approach for QA TempEval Challenge ↗Yongshuai Hou, Cong Tan, Qingcai Chen et al.1 citation
- HeidelToul: A Baseline Approach for Cross-document Event Ordering ↗Bilel Moulahi, Jannik Strötgen, Michael Gertz et al.1 citation
- IHS-RD-Belarus: Identification and Normalization of Disorder Concepts in Clinical Notes ↗Maryna Chernyshevich, Vadim Stankevitch1 citation
- NTNU: An Unsupervised Knowledge Approach for Taxonomy Extraction ↗Bamfa Ceesay, Wen Juan Hou1 citation
- PRHLT: Combination of Deep Autoencoders with Classification and Regression Techniques for SemEval-2015 Task 11 ↗Parth Gupta, Jon Ander Gómez1 citation
- QASSIT: A Pretopological Framework for the Automatic Construction of Lexical Taxonomies from Raw Texts ↗Guillaume Cleuziou, Davide Buscaldi, Gael Dias et al.1 citation
- SWATCS65: Sentiment Classification Using an Ensemble of Class Projects ↗Richard Wicentowski1 citation
- UFRGS: Identifying Categories and Targets in Customer Reviews ↗Anderson Kauer, Viviane P. Moreira1 citation
- UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015 ↗Xu Han, Binyang Li, Jing Ma et al.1 citation
- VUA-background : When to Use Background Information to Perform Word Sense Disambiguation ↗Marten Postma, Ruben Izquierdo, Piek Vossen1 citation
- BioinformaticsUA: Machine Learning and Rule-Based Recognition of Disorders and Clinical Attributes from Patient Notes ↗Sérgio Matos, José Sequeira, José Luís Oliveira
- EBL-Hope: Multilingual Word Sense Disambiguation Using a Hybrid Knowledge-Based Technique ↗Eniafe Festus Ayetiran, Guido Boella
- IITPSemEval: Sentiment Discovery from 140 Characters ↗Ayush Kumar, Vamsi Krishna, Asif Ekbal
- LIST-LUX: Disorder Identification from Clinical Texts ↗Asma Ben Abacha, Aikaterini Karanasiou, Yassine Mrabet et al.
- SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching ↗Nataliia Plotnikova, Gabriella Lapesa, Thomas Proisl et al.
- TeamUFAL: WSD+EL as Document Retrieval ↗Petr Fanta, Roman Sudarikov, Ondřej Bojar
This page in Markdown → https://md.research.elamur.ai/free/en/venues/semeval/2015/papers/page/2/