---
title: "SemEval 2016 — all accepted papers — the most cited first"
description: "All 212 papers of SemEval 2016 · page 1 of 3, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/semeval/2016/papers/"
---
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# SemEval 2016: all accepted papers

212 papers · page 1 of 3 · the most cited first · [← SemEval 2016](https://md.research.elamur.ai/free/en/venues/semeval/2016/)

**1** [2](https://md.research.elamur.ai/free/en/venues/semeval/2016/papers/page/2/) [3](https://md.research.elamur.ai/free/en/venues/semeval/2016/papers/page/3/) [next →](https://md.research.elamur.ai/free/en/venues/semeval/2016/papers/page/2/)

1. **[SemEval-2016 Task 5: Aspect Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/pontiki-2016-semeval-2016-task-5-aspect/)**Maria Pontiki, Dimitris Galanis, Haris Papageorgiou et al.*1,281 citations · our summary*
2. **[SemEval-2016 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-4-sentiment/)**Preslav Nakov, Alan Ritter, Sara Rosenthal et al.*966 citations · our summary*
3. **[SemEval-2016 Task 6: Detecting Stance in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2016-semeval-2016-task-6-detecting/)**Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani et al.*844 citations · our summary*
4. **[SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation](https://md.research.elamur.ai/free/en/papers/agirre-2016-semeval-2016-task-1-semantic/)**Eneko Agirre, Carmen Banea, Daniel Cer et al.*519 citations · our summary*
5. **[SemEval-2016 Task 3: Community Question Answering](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-3-community/)**Preslav Nakov, Lluís Màrquez, Alessandro Moschitti et al.*241 citations · our summary*
6. **[SemEval-2016 Task 12: Clinical TempEval](https://md.research.elamur.ai/free/en/papers/bethard-2016-semeval-2016-task-12-clinical/)**Steven Bethard, Guergana Savova, Wei-Te Chen et al.*182 citations · our summary*
7. **[MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection](https://md.research.elamur.ai/free/en/papers/zarrella-2016-mitre-semeval-2016-task-6/)**Guido Zarrella, Amy Marsh*173 citations · our summary*
8. **[SemEval 2016 Task 11: Complex Word Identification](https://md.research.elamur.ai/free/en/papers/paetzold-2016-semeval-2016-task-11-complex/)**Gustavo Paetzold, Lucia Specia*158 citations · our summary*
9. **[pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection](https://md.research.elamur.ai/free/en/papers/wei-2016-pkudblab-semeval-2016-task-6/)**Wan Wei, Xiao Zhang, Xuqin Liu et al.*124 citations · our summary*
10. **[NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features ↗](https://aclanthology.org/S16-1045/)**Zhiqiang Toh, Jian Su*118 citations*
11. **[INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual Aspect-based Sentiment Analysis ↗](https://aclanthology.org/S16-1053/)**Sebastian Ruder, Parsa Ghaffari, John G. Breslin*115 citations*
12. **[SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision ↗](https://aclanthology.org/S16-1173/)**Jan Deriu, Maurice Gonzenbach, Fatih Uzdilli et al.*110 citations*
13. **[SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases ↗](https://aclanthology.org/S16-1004/)**Svetlana Kiritchenko, Saif Mohammad, Mohammad Salameh*100 citations*
14. **[SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2) ↗](https://aclanthology.org/S16-1168/)**Georgeta Bordea, Els Lefever, Paul Buitelaar*88 citations*
15. **[KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers ↗](https://aclanthology.org/S16-1172/)**Simone Filice, Danilo Croce, Alessandro Moschitti et al.*84 citations*
16. **[TAXI at SemEval-2016 Task 13: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling ↗](https://aclanthology.org/S16-1206/)**Alexander Panchenko, Stefano Faralli, Eugen Ruppert et al.*63 citations*
17. **[ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora ↗](https://aclanthology.org/S16-1138/)**Alberto Barrón-Cedeño, Daniele Bonadiman, Giovanni Da San Martino et al.*62 citations*
18. **[SemEval-2016 Task 8: Meaning Representation Parsing ↗](https://aclanthology.org/S16-1166/)**Jonathan May*62 citations*
19. **[SemEval-2016 Task 14: Semantic Taxonomy Enrichment ↗](https://aclanthology.org/S16-1169/)**David Jurgens, Mohammad Taher Pilehvar*60 citations*
20. **[UWB at SemEval-2016 Task 5: Aspect Based Sentiment Analysis ↗](https://aclanthology.org/S16-1055/)**Tomáš Hercig, Tomáš Brychcín, Lukáš Svoboda et al.*60 citations*
21. **[DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs ↗](https://aclanthology.org/S16-1067/)**Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi et al.*59 citations*
22. **[SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings ↗](https://aclanthology.org/S16-1136/)**Todor Mihaylov, Preslav Nakov*59 citations*
23. **[IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis ↗](https://aclanthology.org/S16-1174/)**Ayush Kumar, Sarah Kohail, Amit Kumar et al.*57 citations*
24. **[SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)](https://md.research.elamur.ai/free/en/papers/schneider-2016-semeval-2016-task-10-detecting/)**Nathan Schneider, Dirk Hovy, Anders Johannsen et al.*55 citations · our summary*
25. **[UWB at SemEval-2016 Task 1: Semantic Textual Similarity using Lexical, Syntactic, and Semantic Information ↗](https://aclanthology.org/S16-1089/)**Tomáš Brychcín, Lukáš Svoboda*55 citations*
26. **[XRCE at SemEval-2016 Task 5: Feedbacked Ensemble Modeling on Syntactico-Semantic Knowledge for Aspect Based Sentiment Analysis ↗](https://aclanthology.org/S16-1044/)**Caroline Brun, Julien Perez, Claude Roux*55 citations*
27. **[RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy ↗](https://aclanthology.org/S16-1176/)**Guntis Barzdins, Didzis Gosko*54 citations*
28. **[TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble ↗](https://aclanthology.org/S16-1075/)**Martin Tutek, Ivan Sekulić, Paula Gombar et al.*50 citations*
29. **[UTHealth at SemEval-2016 Task 12: an End-to-End System for Temporal Information Extraction from Clinical Notes ↗](https://aclanthology.org/S16-1201/)**Hee-Jin Lee, Hua Xu, Jingqi Wang et al.*49 citations*
30. **[CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser](https://md.research.elamur.ai/free/en/papers/wang-2016-camr-semeval-2016-task-8/)**Chuan Wang, Sameer Pradhan, Xiaoman Pan et al.*48 citations · our summary*
31. **[CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss ↗](https://aclanthology.org/S16-1186/)**Jeffrey Flanigan, Chris Dyer, Noah A. Smith et al.*48 citations*
32. **[SemEval-2016 Task 2: Interpretable Semantic Textual Similarity ↗](https://aclanthology.org/S16-1082/)**Eneko Agirre, Aitor Gonzalez-Agirre, Iñigo Lopez-Gazpio et al.*48 citations*
33. **[Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction ↗](https://aclanthology.org/S16-1198/)**Jason Fries*46 citations*
34. **[UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering ↗](https://aclanthology.org/S16-1126/)**Marc Franco-Salvador, Sudipta Kar, Thamar Solorio et al.*46 citations*
35. **[Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity. ↗](https://aclanthology.org/S16-1091/)**Barbara Rychalska, Katarzyna Pakulska, Krystyna Chodorowska et al.*44 citations*
36. **[USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders ↗](https://aclanthology.org/S16-1063/)**Isabelle Augenstein, Andreas Vlachos, Kalina Bontcheva*44 citations*
37. **[SENSEI-LIF at SemEval-2016 Task 4: Polarity embedding fusion for robust sentiment analysis ↗](https://aclanthology.org/S16-1030/)**Mickael Rouvier, Benoit Favre*42 citations*
38. **[AUEB-ABSA at SemEval-2016 Task 5: Ensembles of Classifiers and Embeddings for Aspect Based Sentiment Analysis ↗](https://aclanthology.org/S16-1050/)**Dionysios Xenos, Panagiotis Theodorakakos, John Pavlopoulos et al.*38 citations*
39. **[CU-GWU Perspective at SemEval-2016 Task 6: Ideological Stance Detection in Informal Text ↗](https://aclanthology.org/S16-1070/)**Heba Elfardy, Mona Diab*38 citations*
40. **[GTI at SemEval-2016 Task 5: SVM and CRF for Aspect Detection and Unsupervised Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/S16-1049/)**Tamara Álvarez-López, Jonathan Juncal-Martínez, Milagros Fernández-Gavilanes et al.*38 citations*
41. **[UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification ↗](https://aclanthology.org/S16-1027/)**Steven Xu, HuiZhi Liang, Timothy Baldwin*37 citations*
42. **[SV000gg at SemEval-2016 Task 11: Heavy Gauge Complex Word Identification with System Voting ↗](https://aclanthology.org/S16-1149/)**Gustavo Paetzold, Lucia Specia*35 citations*
43. **[IUCL at SemEval-2016 Task 6: An Ensemble Model for Stance Detection in Twitter ↗](https://aclanthology.org/S16-1064/)**Can Liu, Wen Li, Bradford Demarest et al.*34 citations*
44. **[SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering ↗](https://aclanthology.org/S16-1128/)**Mitra Mohtarami, Yonatan Belinkov, Wei-Ning Hsu et al.*32 citations*
45. **[CDE-IIITH at SemEval-2016 Task 12: Extraction of Temporal Information from Clinical documents using Machine Learning techniques ↗](https://aclanthology.org/S16-1192/)**Veera Raghavendra Chikka*29 citations*
46. **[LTG at SemEval-2016 Task 11: Complex Word Identification with Classifier Ensembles ↗](https://aclanthology.org/S16-1154/)**Shervin Malmasi, Mark Dras, Marcos Zampieri*29 citations*
47. **[ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers ↗](https://aclanthology.org/S16-1069/)**Michael Wojatzki, Torsten Zesch*29 citations*
48. **[NileTMRG at SemEval-2016 Task 5: Deep Convolutional Neural Networks for Aspect Category and Sentiment Extraction ↗](https://aclanthology.org/S16-1043/)**Talaat Khalil, Samhaa R. El-Beltagy*28 citations*
49. **[UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement ↗](https://aclanthology.org/S16-1170/)**Hua He, John Wieting, Kevin Gimpel et al.*28 citations*
50. **[Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection ↗](https://aclanthology.org/S16-1065/)**Yuki Igarashi, Hiroya Komatsu, Sosuke Kobayashi et al.*27 citations*
51. **[MayoNLP at SemEval-2016 Task 1: Semantic Textual Similarity based on Lexical Semantic Net and Deep Learning Semantic Model ↗](https://aclanthology.org/S16-1103/)**Naveed Afzal, Yanshan Wang, Hongfang Liu*26 citations*
52. **[INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets ↗](https://aclanthology.org/S16-1061/)**Marcelo Dias, Karin Becker*25 citations*
53. **[UFAL at SemEval-2016 Task 5: Recurrent Neural Networks for Sentence Classification ↗](https://aclanthology.org/S16-1059/)**Aleš Tamchyna, Kateřina Veselovská*25 citations*
54. **[PLUJAGH at SemEval-2016 Task 11: Simple System for Complex Word Identification ↗](https://aclanthology.org/S16-1146/)**Krzysztof Wróbel*24 citations*
55. **[UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports ↗](https://aclanthology.org/S16-1197/)**Peng Li, Heng Huang*24 citations*
56. **[iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases ↗](https://aclanthology.org/S16-1077/)**Eshrag Refaee, Verena Rieser*24 citations*
57. **[SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering ↗](https://aclanthology.org/S16-1129/)**Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov et al.*23 citations*
58. **[UtahBMI at SemEval-2016 Task 12: Extracting Temporal Information from Clinical Text ↗](https://aclanthology.org/S16-1195/)**Abdulrahman Khalifa, Sumithra Velupillai, Stephane Meystre*23 citations*
59. **[ECNU at SemEval 2016 Task 6: Relevant or Not? Supportive or Not? A Two-step Learning System for Automatic Detecting Stance in Tweets ↗](https://aclanthology.org/S16-1073/)**Zhihua Zhang, Man Lan*22 citations*
60. **[TALN at SemEval-2016 Task 11: Modelling Complex Words by Contextual, Lexical and Semantic Features ↗](https://aclanthology.org/S16-1157/)**Francesco Ronzano, Ahmed Abura'ed, Luis Espinosa-Anke et al.*22 citations*
61. **[UofL at SemEval-2016 Task 4: Multi Domain word2vec for Twitter Sentiment Classification ↗](https://aclanthology.org/S16-1024/)**Omar Abdelwahab, Adel Elmaghraby*22 citations*
62. **[NUIG-UNLP at SemEval-2016 Task 13: A Simple Word Embedding-based Approach for Taxonomy Extraction ↗](https://aclanthology.org/S16-1202/)**Joel Pocostales*21 citations*
63. **[UWB at SemEval-2016 Task 6: Stance Detection ↗](https://aclanthology.org/S16-1066/)**Peter Krejzl, Josef Steinberger*21 citations*
64. **[Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis ↗](https://aclanthology.org/S16-1022/)**Dario Stojanovski, Gjorgji Strezoski, Gjorgji Madjarov et al.*20 citations*
65. **[LSIS at SemEval-2016 Task 7: Using Web Search Engines for English and Arabic Unsupervised Sentiment Intensity Prediction ↗](https://aclanthology.org/S16-1076/)**Amal Htait, Sebastien Fournier, Patrice Bellot*20 citations*
66. **[PMI-cool at SemEval-2016 Task 3: Experiments with PMI and Goodness Polarity Lexicons for Community Question Answering ↗](https://aclanthology.org/S16-1130/)**Daniel Balchev, Yasen Kiprov, Ivan Koychev et al.*20 citations*
67. **[ECNU at SemEval-2016 Task 3: Exploring Traditional Method and Deep Learning Method for Question Retrieval and Answer Ranking in Community Question Answering ↗](https://aclanthology.org/S16-1135/)**Guoshun Wu, Man Lan*19 citations*
68. **[MacSaar at SemEval-2016 Task 11: Zipfian and Character Features for ComplexWord Identification ↗](https://aclanthology.org/S16-1155/)**Marcos Zampieri, Liling Tan, Josef van Genabith*19 citations*
69. **[SemEval-2016 Task 9: Chinese Semantic Dependency Parsing ↗](https://aclanthology.org/S16-1167/)**Wanxiang Che, Yanqiu Shao, Ting Liu et al.*19 citations*
70. **[ISTI-CNR at SemEval-2016 Task 4: Quantification on an Ordinal Scale ↗](https://aclanthology.org/S16-1011/)**Andrea Esuli*18 citations*
71. **[TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification ↗](https://aclanthology.org/S16-1010/)**Georgios Balikas, Massih-Reza Amini*18 citations*
72. **[UniPI at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification ↗](https://aclanthology.org/S16-1033/)**Giuseppe Attardi, Daniele Sartiano*18 citations*
73. **[HMC at SemEval-2016 Task 11: Identifying Complex Words Using Depth-limited Decision Trees ↗](https://aclanthology.org/S16-1161/)**Maury Quijada, Julie Medero*17 citations*
74. **[JU_NLP at SemEval-2016 Task 11: Identifying Complex Words in a Sentence ↗](https://aclanthology.org/S16-1152/)**Niloy Mukherjee, Braja Gopal Patra, Dipankar Das et al.*17 citations*
75. **[JUNITMZ at SemEval-2016 Task 1: Identifying Semantic Similarity Using Levenshtein Ratio ↗](https://aclanthology.org/S16-1108/)**Sandip Sarkar, Dipankar Das, Partha Pakray et al.*16 citations*
76. **[JU_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines ↗](https://aclanthology.org/S16-1071/)**Braja Gopal Patra, Dipankar Das, Sivaji Bandyopadhyay*16 citations*
77. **[LIMSI-COT at SemEval-2016 Task 12: Temporal relation identification using a pipeline of classifiers ↗](https://aclanthology.org/S16-1175/)**Julien Tourille, Olivier Ferret, Aurélie Névéol et al.*16 citations*
78. **[MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering? ↗](https://aclanthology.org/S16-1137/)**Francisco Guzmán, Preslav Nakov, Lluís Màrquez*16 citations*
79. **[USAAR at SemEval-2016 Task 13: Hyponym Endocentricity ↗](https://aclanthology.org/S16-1203/)**Liling Tan, Francis Bond, Josef van Genabith*16 citations*
80. **[IDI@NTNU at SemEval-2016 Task 6: Detecting Stance in Tweets Using Shallow Features and GloVe Vectors for Word Representation ↗](https://aclanthology.org/S16-1072/)**Henrik Bøhler, Petter Asla, Erwin Marsi et al.*15 citations*
81. **[QU-IR at SemEval 2016 Task 3: Learning to Rank on Arabic Community Question Answering Forums with Word Embedding ↗](https://aclanthology.org/S16-1134/)**Rana Malhas, Marwan Torki, Tamer Elsayed*15 citations*
82. **[AI-KU at SemEval-2016 Task 11: Word Embeddings and Substring Features for Complex Word Identification ↗](https://aclanthology.org/S16-1163/)**Onur Kuru*14 citations*
83. **[CLaC at SemEval-2016 Task 11: Exploring linguistic and psycho-linguistic Features for Complex Word Identification ↗](https://aclanthology.org/S16-1151/)**Elnaz Davoodi, Leila Kosseim*14 citations*
84. **[GUIR at SemEval-2016 task 12: Temporal Information Processing for Clinical Narratives ↗](https://aclanthology.org/S16-1194/)**Arman Cohan, Kevin Meurer, Nazli Goharian*14 citations*
85. **[MSejrKu at SemEval-2016 Task 14: Taxonomy Enrichment by Evidence Ranking ↗](https://aclanthology.org/S16-1209/)**Michael Schlichtkrull, Héctor Martínez Alonso*14 citations*
86. **[QCRI at SemEval-2016 Task 4: Probabilistic Methods for Binary and Ordinal Quantification ↗](https://aclanthology.org/S16-1006/)**Giovanni Da San Martino, Wei Gao, Fabrizio Sebastiani*14 citations*
87. **[TGB at SemEval-2016 Task 5: Multi-Lingual Constraint System for Aspect Based Sentiment Analysis ↗](https://aclanthology.org/S16-1054/)**Fatih Samet Çetin, Ezgi Yıldırım, Can Özbey et al.*14 citations*
88. **[Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation ↗](https://aclanthology.org/S16-1023/)**Elisavet Palogiannidi, Athanasia Kolovou, Fenia Christopoulou et al.*14 citations*
89. **[UWB at SemEval-2016 Task 11: Exploring Features for Complex Word Identification ↗](https://aclanthology.org/S16-1162/)**Michal Konkol*14 citations*
90. **[UWB at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity with Distributional Semantics for Chunks ↗](https://aclanthology.org/S16-1124/)**Miloslav Konopík, Ondřej Pražák, David Steinberger et al.*14 citations*
91. **[CNRC at SemEval-2016 Task 1: Experiments in Crosslingual Semantic Textual Similarity ↗](https://aclanthology.org/S16-1102/)**Chi-kiu Lo, Cyril Goutte, Michel Simard*13 citations*
92. **[CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks ↗](https://aclanthology.org/S16-1185/)**William Foland, James H. Martin*13 citations*
93. **[CoastalCPH at SemEval-2016 Task 11: The importance of designing your Neural Networks right ↗](https://aclanthology.org/S16-1160/)**Joachim Bingel, Natalie Schluter, Héctor Martínez Alonso*13 citations*
94. **[ECNU at SemEval-2016 Task 7: An Enhanced Supervised Learning Method for Lexicon Sentiment Intensity Ranking ↗](https://aclanthology.org/S16-1080/)**Feixiang Wang, Zhihua Zhang, Man Lan*13 citations*
95. **[UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures ↗](https://aclanthology.org/S16-1131/)**Timothy Baldwin, Huizhi Liang, Bahar Salehi et al.*13 citations*
96. **[UofR at SemEval-2016 Task 8: Learning Synchronous Hyperedge Replacement Grammar for AMR Parsing ↗](https://aclanthology.org/S16-1183/)**Xiaochang Peng, Daniel Gildea*13 citations*
97. **[bunji at SemEval-2016 Task 5: Neural and Syntactic Models of Entity-Attribute Relationship for Aspect-based Sentiment Analysis ↗](https://aclanthology.org/S16-1046/)**Toshihiko Yanase, Kohsuke Yanai, Misa Sato et al.*13 citations*
98. **[AmritaCEN at SemEval-2016 Task 11: Complex Word Identification using Word Embedding ↗](https://aclanthology.org/S16-1159/)**Sanjay S.P, Anand Kumar M, Soman K P*12 citations*
99. **[CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification ↗](https://aclanthology.org/S16-1005/)**Mahmoud Nabil, Amir Atyia, Mohamed Aly*12 citations*
100. **[ICL-HD at SemEval-2016 Task 8: Meaning Representation Parsing - Augmenting AMR Parsing with a Preposition Semantic Role Labeling Neural Network ↗](https://aclanthology.org/S16-1179/)**Lauritz Brandt, David Grimm, Mengfei Zhou et al.*12 citations*

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