SemEval 2017: all accepted papers
- TakeLab at SemEval-2017 Task 4: Recent Deaths and the Power of Nostalgia in Sentiment Analysis in Twitter ↗David Lozić, Doria Šarić, Ivan Tokić et al.8 citations
- The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields ↗Lung-Hao Lee, Kuei-Ching Lee, Yuen-Hsien Tseng8 citations
- UCSC-NLP at SemEval-2017 Task 4: Sense n-grams for Sentiment Analysis in Twitter ↗José Abreu, Iván Castro, Claudia Martínez et al.8 citations
- ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter ↗Enkhzol Dovdon, José Saias8 citations
- BuzzSaw at SemEval-2017 Task 7: Global vs. Local Context for Interpreting and Locating Homographic English Puns with Sense Embeddings ↗Dieke Oele, Kilian Evang7 citations
- ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification ↗Yunxiao Zhou, Man Lan, Yuanbin Wu7 citations
- EICA Team at SemEval-2017 Task 3: Semantic and Metadata-based Features for Community Question Answering ↗Yufei Xie, Maoquan Wang, Jing Ma et al.7 citations
- Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes ↗Sarath P R, Manikandan R, Yoshiki Niwa7 citations
- Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity ↗Cristina España-Bonet, Alberto Barrón-Cedeño7 citations
- MERALI at SemEval-2017 Task 2 Subtask 1: a Cognitively Inspired approach ↗Enrico Mensa, Daniele P. Radicioni, Antonio Lieto7 citations
- NLG301 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News ↗Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen7 citations
- SVNIT @ SemEval 2017 Task-6: Learning a Sense of Humor Using Supervised Approach ↗Rutal Mahajan, Mukesh Zaveri7 citations
- Talla at SemEval-2017 Task 3: Identifying Similar Questions Through Paraphrase Detection ↗Byron Galbraith, Bhanu Pratap, Daniel Shank7 citations
- TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification ↗Georgios Balikas7 citations
- UWAV at SemEval-2017 Task 7: Automated feature-based system for locating puns ↗Ankit Vadehra7 citations
- COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines ↗Kim Schouten, Flavius Frasincar, Franciska de Jong6 citations
- EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION ↗Steffen Eger, Erik-Lân Do Dinh, Ilia Kuznetsov et al.6 citations
- ELiRF-UPV at SemEval-2017 Task 7: Pun Detection and Interpretation ↗Lluís-F. Hurtado, Encarna Segarra, Ferran Pla et al.6 citations
- HCS at SemEval-2017 Task 5: Polarity detection in business news using convolutional neural networks ↗Lidia Pivovarova, Llorenç Escoter, Arto Klami et al.6 citations
- L2F/INESC-ID at SemEval-2017 Tasks 1 and 2: Lexical and semantic features in word and textual similarity ↗Pedro Fialho, Hugo Patinho Rodrigues, Luísa Coheur et al.6 citations
- ResSim at SemEval-2017 Task 1: Multilingual Word Representations for Semantic Textual Similarity ↗Johannes Bjerva, Robert Östling6 citations
- The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing ↗Rik van Noord, Johan Bos6 citations
- UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity ↗Joe Barrow, Denis Peskov6 citations
- WING-NUS at SemEval-2017 Task 10: Keyphrase Extraction and Classification as Joint Sequence Labeling ↗Animesh Prasad, Min-Yen Kan6 citations
- YNUDLG at SemEval-2017 Task 4: A GRU-SVM Model for Sentiment Classification and Quantification in Twitter ↗Ming Wang, Biao Chu, Qingxun Liu et al.6 citations
- DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles ↗Symeon Symeonidis, John Kordonis, Dimitrios Effrosynidis et al.5 citations
- FuRongWang at SemEval-2017 Task 3: Deep Neural Networks for Selecting Relevant Answers in Community Question Answering ↗Sheng Zhang, Jiajun Cheng, Hui Wang et al.5 citations
- INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines ↗Tiago Zini, Karin Becker, Marcelo Dias5 citations
- NTU-1 at SemEval-2017 Task 12: Detection and classification of temporal events in clinical data with domain adaptation ↗Po-Yu Huang, Hen-Hsen Huang, Yu-Wun Wang et al.5 citations
- PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings ↗I-Ta Lee, Mahak Goindani, Chang Li et al.5 citations
- SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity ↗Le Qi, Yu Zhang, Ting Liu5 citations
- TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers ↗Tomoki Tsujimura, Makoto Miwa, Yutaka Sasaki5 citations
- TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier ↗Naveen Kumar Laskari, Suresh Kumar Sanampudi5 citations
- TakeLab at SemEval-2017 Task 6: \#RankingHumorIn4Pages ↗Marin Kukovačec, Juraj Malenica, Ivan Mršić et al.5 citations
- TakeLab-QA at SemEval-2017 Task 3: Classification Experiments for Answer Retrieval in Community QA ↗Filip Šaina, Toni Kukurin, Lukrecija Puljić et al.5 citations
- UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic ↗Yassine El Adlouni, Imane Lahbari, Horacio Rodríguez et al.5 citations
- Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter ↗Alon Rozental, Daniel Fleischer4 citations
- EICA at SemEval-2017 Task 4: A Simple Convolutional Neural Network for Topic-based Sentiment Classification ↗Maoquan Wang, Shiyun Chen, Yufei Xie et al.4 citations
- FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering ↗Giuseppe Attardi, Antonio Carta, Federico Errica et al.4 citations
- HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment ↗Behrang QasemiZadeh, Laura Kallmeyer4 citations
- LIPN-IIMAS at SemEval-2017 Task 1: Subword Embeddings, Attention Recurrent Neural Networks and Cross Word Alignment for Semantic Textual Similarity ↗Ignacio Arroyo-Fernández, Ivan Vladimir Meza Ruiz4 citations
- NLM_NIH at SemEval-2017 Task 3: from Question Entailment to Question Similarity for Community Question Answering ↗Asma Ben Abacha, Dina Demner-Fushman4 citations
- NRU-HSE at SemEval-2017 Task 4: Tweet Quantification Using Deep Learning Architecture ↗Nikolay Karpov4 citations
- NTNU-1@ScienceIE at SemEval-2017 Task 10: Identifying and Labelling Keyphrases with Conditional Random Fields ↗Erwin Marsi, Utpal Kumar Sikdar, Cristina Marco et al.4 citations
- QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings ↗Fanqing Meng, Wenpeng Lu, Yuteng Zhang et al.4 citations
- SINAI at SemEval-2017 Task 4: User based classification ↗Salud María Jiménez-Zafra, Arturo Montejo-Ráez, Maite Martin et al.4 citations
- SRHR at SemEval-2017 Task 6: Word Associations for Humour Recognition ↗Andrew Cattle, Xiaojuan Ma4 citations
- TrentoTeam at SemEval-2017 Task 3: An application of Grice Maxims in Ranking Community Question AnswersMohammed R. H. Qwaider, Abed Alhakim Freihat, Fausto Giunchiglia4 citations · our summary
- UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation ↗Vineet John, Olga Vechtomova4 citations
- \#WarTeam at SemEval-2017 Task 6: Using Neural Networks for Discovering Humorous Tweets ↗Iuliana Alexandra Fleșcan-Lovin-Arseni, Ramona Andreea Turcu, Cristina Sîrbu et al.4 citations
- Adullam at SemEval-2017 Task 4: Sentiment Analyzer Using Lexicon Integrated Convolutional Neural Networks with Attention ↗Joosung Yoon, Kigon Lyu, Hyeoncheol Kim3 citations
- EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development ↗Marek Kubis, Paweł Skórzewski, Tomasz Ziętkiewicz3 citations
- HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity ↗Junqing He, Long Wu, Xuemin Zhao et al.3 citations
- ITNLP-AiKF at SemEval-2017 Task 1: Rich Features Based SVR for Semantic Textual Similarity Computing ↗Wenjie Liu, Chengjie Sun, Lei Lin et al.3 citations
- Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarity ↗Josué Melka, Gilles Bernard3 citations
- LIPN at SemEval-2017 Task 10: Filtering Candidate Keyphrases from Scientific Publications with Part-of-Speech Tag Sequences to Train a Sequence Labeling Model ↗Simon David Hernandez, Davide Buscaldi, Thierry Charnois3 citations
- MoRS at SemEval-2017 Task 3: Easy to use SVM in Ranking Tasks ↗Miguel J. Rodrigues, Francisco M. Couto3 citations
- NTNU-2 at SemEval-2017 Task 10: Identifying Synonym and Hyponym Relations among Keyphrases in Scientific Documents ↗Biswanath Barik, Erwin Marsi3 citations
- OPI-JSA at SemEval-2017 Task 1: Application of Ensemble learning for computing semantic textual similarity ↗Martyna Śpiewak, Piotr Sobecki, Daniel Karaś3 citations
- QLUT at SemEval-2017 Task 2: Word Similarity Based on Word Embedding and Knowledge Base ↗Fanqing Meng, Wenpeng Lu, Yuteng Zhang et al.3 citations
- ULISBOA at SemEval-2017 Task 12: Extraction and classification of temporal expressions and events ↗Andre Lamurias, Diana Sousa, Sofia Pereira et al.3 citations
- Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity ↗Răzvan-Gabriel Rotari, Ionuț Hulub, Ștefan Oprea et al.3 citations
- funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter ↗Quanzhi Li, Sameena Shah, Armineh Nourbakhsh et al.3 citations
- MI&T Lab at SemEval-2017 task 4: An Integrated Training Method of Word Vector for Sentiment Classification ↗Jingjing Zhao, Yan Yang, Bing Xu2 citations
- STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble ↗Sarah Kohail, Amr Rekaby Salama, Chris Biemann2 citations
- Sew-Embed at SemEval-2017 Task 2: Language-Independent Concept Representations from a Semantically Enriched Wikipedia ↗Claudio Delli Bovi, Alessandro Raganato2 citations
- UINSUSKA-TiTech at SemEval-2017 Task 3: Exploiting Word Importance Levels for Similarity Features for CQA ↗Surya Agustian, Hiroya Takamura2 citations
- UIT-DANGNT-CLNLP at SemEval-2017 Task 9: Building Scientific Concept Fixing Patterns for Improving CAMR ↗Khoa Nguyen, Dang Nguyen2 citations
- XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter ↗Yazhou Hao, YangYang Lan, Yufei Li et al.2 citations
- funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts ↗Quanzhi Li, Armineh Nourbakhsh, Xiaomo Liu et al.2 citations
- LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network ↗Isabel Segura-Bedmar, Cristóbal Colón-Ruiz, Paloma Martínez1 citation
- QUB at SemEval-2017 Task 6: Cascaded Imbalanced Classification for Humor Analysis in Twitter ↗Xiwu Han, Gregory Toner1 citation
- RUFINO at SemEval-2017 Task 2: Cross-lingual lexical similarity by extending PMI and word embeddings systems with a Swadesh's-like list ↗Sergio Jimenez, George Dueñas, Lorena Gaitan et al.1 citation
- SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification ↗Raphaël Troncy, Enrico Palumbo, Efstratios Sygkounas et al.1 citation
- TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision ↗Simon Müller, Tobias Huonder, Jan Deriu et al.1 citation
- Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator ↗Roman Kern, Stefan Falk, Andi Rexha
- LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network ↗Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez
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