---
title: "SemEval 2016 — all accepted papers, page 2 — Elamur Research"
description: "All 212 papers of SemEval 2016 · page 2 of 3, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/semeval/2016/papers/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/semeval/2016/papers/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [SemEval](https://md.research.elamur.ai/free/en/venues/semeval/) / [2016](https://md.research.elamur.ai/free/en/venues/semeval/2016/) / [papers](https://md.research.elamur.ai/free/en/venues/semeval/2016/papers/) / page 2

# SemEval 2016: all accepted papers

212 papers · page 2 of 3 · the most cited first · [← SemEval 2016](https://md.research.elamur.ai/free/en/venues/semeval/2016/)

[← prev](https://md.research.elamur.ai/free/en/venues/semeval/2016/papers/) [1](https://md.research.elamur.ai/free/en/venues/semeval/2016/papers/) **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/3/)

101. **[JUNLP at SemEval-2016 Task 13: A Language Independent Approach for Hypernym Identification ↗](https://aclanthology.org/S16-1204/)**Promita Maitra, Dipankar Das*12 citations*
102. **[QASSIT at SemEval-2016 Task 13: On the integration of Semantic Vectors in Pretopological Spaces for Lexical Taxonomy Acquisition ↗](https://aclanthology.org/S16-1205/)**Guillaume Cleuziou, Jose G. Moreno*12 citations*
103. **[ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity ↗](https://aclanthology.org/S16-1094/)**Junfeng Tian, Man Lan*11 citations*
104. **[FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings ↗](https://aclanthology.org/S16-1086/)**Duygu Ataman, José G. C. de Souza, Marco Turchi et al.*11 citations*
105. **[ICL00 at SemEval-2016 Task 3: Translation-Based Method for CQA System ↗](https://aclanthology.org/S16-1132/)**Yunfang Wu, Minghua Zhang*11 citations*
106. **[INSIGHT-1 at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification and Quantification ↗](https://aclanthology.org/S16-1026/)**Sebastian Ruder, Parsa Ghaffari, John G. Breslin*11 citations*
107. **[M2L at SemEval-2016 Task 8: AMR Parsing with Neural Networks ↗](https://aclanthology.org/S16-1178/)**Yevgeniy Puzikov, Daisuke Kawahara, Sadao Kurohashi*11 citations*
108. **[NLDS-UCSC at SemEval-2016 Task 6: A Semi-Supervised Approach to Detecting Stance in Tweets ↗](https://aclanthology.org/S16-1068/)**Amita Misra, Brian Ecker, Theodore Handleman et al.*11 citations*
109. **[NileTMRG at SemEval-2016 Task 7: Deriving Prior Polarities for Arabic Sentiment Terms ↗](https://aclanthology.org/S16-1079/)**Samhaa R. El-Beltagy*11 citations*
110. **[PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis ↗](https://aclanthology.org/S16-1018/)**Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski*11 citations*
111. **[The Meaning Factory at SemEval-2016 Task 8: Producing AMRs with Boxer ↗](https://aclanthology.org/S16-1182/)**Johannes Bjerva, Johan Bos, Hessel Haagsma*11 citations*
112. **[UFRGS&LIF at SemEval-2016 Task 10: Rule-Based MWE Identification and Predominant-Supersense Tagging ↗](https://aclanthology.org/S16-1140/)**Silvio Cordeiro, Carlos Ramisch, Aline Villavicencio*11 citations*
113. **[aueb.twitter.sentiment at SemEval-2016 Task 4: A Weighted Ensemble of SVMs for Twitter Sentiment Analysis ↗](https://aclanthology.org/S16-1012/)**Stavros Giorgis, Apostolos Rousas, John Pavlopoulos et al.*11 citations*
114. **[BUTknot at SemEval-2016 Task 5: Supervised Machine Learning with Term Substitution Approach in Aspect Category Detection ↗](https://aclanthology.org/S16-1048/)**Jakub Macháček*10 citations*
115. **[MAZA at SemEval-2016 Task 11: Detecting Lexical Complexity Using a Decision Stump Meta-Classifier ↗](https://aclanthology.org/S16-1153/)**Shervin Malmasi, Marcos Zampieri*10 citations*
116. **[Melbourne at SemEval 2016 Task 11: Classifying Type-level Word Complexity using Random Forests with Corpus and Word List Features ↗](https://aclanthology.org/S16-1150/)**Julian Brooke, Alexandra Uitdenbogerd, Timothy Baldwin*10 citations*
117. **[Pomona at SemEval-2016 Task 11: Predicting Word Complexity Based on Corpus Frequency ↗](https://aclanthology.org/S16-1164/)**David Kauchak*10 citations*
118. **[Sensible at SemEval-2016 Task 11: Neural Nonsense Mangled in Ensemble Mess ↗](https://aclanthology.org/S16-1148/)**Gillin Nat*10 citations*
119. **[UCL+Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an alpha-bound ↗](https://aclanthology.org/S16-1180/)**James Goodman, Andreas Vlachos, Jason Naradowsky*10 citations*
120. **[UW-CSE at SemEval-2016 Task 10: Detecting Multiword Expressions and Supersenses using Double-Chained Conditional Random Fields ↗](https://aclanthology.org/S16-1143/)**Mohammad Javad Hosseini, Noah A. Smith, Su-In Lee*10 citations*
121. **[ECNU at SemEval-2016 Task 5: Extracting Effective Features from Relevant Fragments in Sentence for Aspect-Based Sentiment Analysis in Reviews ↗](https://aclanthology.org/S16-1058/)**Mengxiao Jiang, Zhihua Zhang, Man Lan*9 citations*
122. **[Garuda & Bhasha at SemEval-2016 Task 11: Complex Word Identification Using Aggregated Learning Models ↗](https://aclanthology.org/S16-1156/)**Prafulla Choubey, Shubham Pateria*9 citations*
123. **[ICL-HD at SemEval-2016 Task 10: Improving the Detection of Minimal Semantic Units and their Meanings with an Ontology and Word Embeddings ↗](https://aclanthology.org/S16-1144/)**Angelika Kirilin, Felix Krauss, Yannick Versley*9 citations*
124. **[KULeuven-LIIR at SemEval 2016 Task 12: Detecting Narrative Containment in Clinical Records ↗](https://aclanthology.org/S16-1199/)**Artuur Leeuwenberg, Marie-Francine Moens*9 citations*
125. **[ULISBOA at SemEval-2016 Task 12: Extraction of temporal expressions, clinical events and relations using IBEnt ↗](https://aclanthology.org/S16-1196/)**Marcia Barros, Andre Lamurias, Gonçalo Figueiro et al.*9 citations*
126. **[ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter ↗](https://aclanthology.org/S16-1040/)**Yunxiao Zhou, Zhihua Zhang, Man Lan*8 citations*
127. **[Inspire at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity Alignment based on Answer Set Programming ↗](https://aclanthology.org/S16-1171/)**Mishal Kazmi, Peter Schüller*8 citations*
128. **[LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification ↗](https://aclanthology.org/S16-1009/)**David Vilares, Yerai Doval, Miguel A. Alonso et al.*8 citations*
129. **[Minions at SemEval-2016 Task 4: or how to build a sentiment analyzer using off-the-shelf resources? ↗](https://aclanthology.org/S16-1038/)**Călin-Cristian Ciubotariu, Marius-Valentin Hrişca, Mihail Gliga et al.*8 citations*
130. **[NORMAS at SemEval-2016 Task 1: SEMSIM: A Multi-Feature Approach to Semantic Text Similarity ↗](https://aclanthology.org/S16-1111/)**Kolawole John Adebayo, Luigi Di Caro, Guido Boella*8 citations*
131. **[SentiSys at SemEval-2016 Task 5: Opinion Target Extraction and Sentiment Polarity Detection ↗](https://aclanthology.org/S16-1056/)**Hussam Hamdan*8 citations*
132. **[VUACLTL at SemEval 2016 Task 12: A CRF Pipeline to Clinical TempEval ↗](https://aclanthology.org/S16-1193/)**Tommaso Caselli, Roser Morante*8 citations*
133. **[Amrita_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension ↗](https://aclanthology.org/S16-1109/)**Barathi Ganesh HB, Anand Kumar M, Soman KP*7 citations*
134. **[DTSim at SemEval-2016 Task 2: Interpreting Similarity of Texts Based on Automated Chunking, Chunk Alignment and Semantic Relation Prediction ↗](https://aclanthology.org/S16-1125/)**Rajendra Banjade, Nabin Maharjan, Nobal Bikram Niraula et al.*7 citations*
135. **[RTM at SemEval-2016 Task 1: Predicting Semantic Similarity with Referential Translation Machines and Related Statistics ↗](https://aclanthology.org/S16-1117/)**Ergun Biçici*7 citations*
136. **[VRep at SemEval-2016 Task 1 and Task 2: A System for Interpretable Semantic Similarity ↗](https://aclanthology.org/S16-1087/)**Sam Henry, Allison Sands*7 citations*
137. **[CENTAL at SemEval-2016 Task 12: a linguistically fed CRF model for medical and temporal information extraction ↗](https://aclanthology.org/S16-1200/)**Charlotte Hansart, Damien De Meyere, Patrick Watrin et al.*6 citations*
138. **[FBK-HLT-NLP at SemEval-2016 Task 2: A Multitask, Deep Learning Approach for Interpretable Semantic Textual Similarity ↗](https://aclanthology.org/S16-1121/)**Simone Magnolini, Anna Feltracco, Bernardo Magnini*6 citations*
139. **[GTI at SemEval-2016 Task 4: Training a Naive Bayes Classifier using Features of an Unsupervised System ↗](https://aclanthology.org/S16-1016/)**Jonathan Juncal-Martínez, Tamara Álvarez-López, Milagros Fernández-Gavilanes et al.*6 citations*
140. **[GWU NLP at SemEval-2016 Shared Task 1: Matrix Factorization for Crosslingual STS ↗](https://aclanthology.org/S16-1101/)**Hanan Aldarmaki, Mona Diab*6 citations*
141. **[LIMSI at SemEval-2016 Task 12: machine-learning and temporal information to identify clinical events and time expressions ↗](https://aclanthology.org/S16-1190/)**Cyril Grouin, Véronique Moriceau*6 citations*
142. **[NTNUSentEval at SemEval-2016 Task 4: Combining General Classifiers for Fast Twitter Sentiment Analysis ↗](https://aclanthology.org/S16-1014/)**Brage Ekroll Jahren, Valerij Fredriksen, Björn Gambäck et al.*6 citations*
143. **[SERGIOJIMENEZ at SemEval-2016 Task 1: Effectively Combining Paraphrase Database, String Matching, WordNet, and Word Embedding for Semantic Textual Similarity ↗](https://aclanthology.org/S16-1116/)**Sergio Jimenez*6 citations*
144. **[SentiSys at SemEval-2016 Task 4: Feature-Based System for Sentiment Analysis in Twitter ↗](https://aclanthology.org/S16-1028/)**Hussam Hamdan*6 citations*
145. **[TALN at SemEval-2016 Task 14: Semantic Taxonomy Enrichment Via Sense-Based Embeddings ↗](https://aclanthology.org/S16-1208/)**Luis Espinosa-Anke, Francesco Ronzano, Horacio Saggion*6 citations*
146. **[AKTSKI at SemEval-2016 Task 5: Aspect Based Sentiment Analysis for Consumer Reviews ↗](https://aclanthology.org/S16-1051/)**Shubham Pateria, Prafulla Choubey*5 citations*
147. **[CLIP@UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search ↗](https://aclanthology.org/S16-1184/)**Sudha Rao, Yogarshi Vyas, Hal Daumé III et al.*5 citations*
148. **[DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity ↗](https://aclanthology.org/S16-1099/)**Md Arafat Sultan, Steven Bethard, Tamara Sumner*5 citations*
149. **[IIIT at SemEval-2016 Task 11: Complex Word Identification using Nearest Centroid Classification ↗](https://aclanthology.org/S16-1158/)**Ashish Palakurthi, Radhika Mamidi*5 citations*
150. **[IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner ↗](https://aclanthology.org/S16-1122/)**Lavanya Tekumalla, Sharmistha Jat*5 citations*
151. **[NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features ↗](https://aclanthology.org/S16-1093/)**Piotr Przybyła, Nhung T. H. Nguyen, Matthew Shardlow et al.*5 citations*
152. **[Overfitting at SemEval-2016 Task 3: Detecting Semantically Similar Questions in Community Question Answering Forums with Word Embeddings ↗](https://aclanthology.org/S16-1133/)**Hujie Wang, Pascal Poupart*5 citations*
153. **[SentimentalITsts at SemEval-2016 Task 4: building a Twitter sentiment analyzer in your backyard ↗](https://aclanthology.org/S16-1037/)**Cosmin Florean, Oana Bejenaru, Eduard Apostol et al.*5 citations*
154. **[SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity ↗](https://aclanthology.org/S16-1115/)**Peter Potash, William Boag, Alexey Romanov et al.*5 citations*
155. **[USAAR at SemEval-2016 Task 11: Complex Word Identification with Sense Entropy and Sentence Perplexity ↗](https://aclanthology.org/S16-1147/)**José Manuel Martínez Martínez, Liling Tan*5 citations*
156. **[iUBC at SemEval-2016 Task 2: RNNs and LSTMs for interpretable STS ↗](https://aclanthology.org/S16-1119/)**Iñigo Lopez-Gazpio, Eneko Agirre, Montse Maritxalar*5 citations*
157. **[ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity ↗](https://aclanthology.org/S16-1114/)**Asli Eyecioglu, Bill Keller*4 citations*
158. **[COMMIT at SemEval-2016 Task 5: Sentiment Analysis with Rhetorical Structure Theory ↗](https://aclanthology.org/S16-1057/)**Kim Schouten, Flavius Frasincar*4 citations*
159. **[Deftor at SemEval-2016 Task 14: Taxonomy enrichment using definition vectors ↗](https://aclanthology.org/S16-1210/)**Hristo Tanev, Agata Rotondi*4 citations*
160. **[DiegoLab16 at SemEval-2016 Task 4: Sentiment Analysis in Twitter using Centroids, Clusters, and Sentiment Lexicons ↗](https://aclanthology.org/S16-1031/)**Abeed Sarker, Graciela Gonzalez*4 citations*
161. **[HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity ↗](https://aclanthology.org/S16-1090/)**Matthias Liebeck, Philipp Pollack, Pashutan Modaresi et al.*4 citations*
162. **[Hitachi at SemEval-2016 Task 12: A Hybrid Approach for Temporal Information Extraction from Clinical Notes ↗](https://aclanthology.org/S16-1191/)**Sarath P R, Manikandan R, Yoshiki Niwa*4 citations*
163. **[IHS-RD-Belarus at SemEval-2016 Task 5: Detecting Sentiment Polarity Using the Heatmap of Sentence ↗](https://aclanthology.org/S16-1047/)**Maryna Chernyshevich*4 citations*
164. **[MayAnd at SemEval-2016 Task 5: Syntactic and word2vec-based approach to aspect-based polarity detection in Russian ↗](https://aclanthology.org/S16-1052/)**Vladimir Mayorov, Ivan Andrianov*4 citations*
165. **[OPAL at SemEval-2016 Task 4: the Challenge of Porting a Sentiment Analysis System to the “Real” World ↗](https://aclanthology.org/S16-1041/)**Alexandra Balahur*4 citations*
166. **[RDI_Team at SemEval-2016 Task 3: RDI Unsupervised Framework for Text Ranking ↗](https://aclanthology.org/S16-1127/)**Ahmed Magooda, Amr Gomaa, Ashraf Mahgoub et al.*4 citations*
167. **[RICOH at SemEval-2016 Task 1: IR-based Semantic Textual Similarity Estimation ↗](https://aclanthology.org/S16-1106/)**Hideo Itoh*4 citations*
168. **[SAARSHEFF at SemEval-2016 Task 1: Semantic Textual Similarity with Machine Translation Evaluation Metrics and (eXtreme) Boosted Tree Ensembles ↗](https://aclanthology.org/S16-1095/)**Liling Tan, Carolina Scarton, Lucia Specia et al.*4 citations*
169. **[SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment Classification ↗](https://aclanthology.org/S16-1007/)**Stefan Räbiger, Mishal Kazmi, Yücel Saygın et al.*4 citations*
170. **[UDLAP at SemEval-2016 Task 4: Sentiment Quantification Using a Graph Based Representation ↗](https://aclanthology.org/S16-1015/)**Esteban Castillo, Ofelia Cervantes, Darnes Vilariño et al.*4 citations*
171. **[UTU at SemEval-2016 Task 10: Binary Classification for Expression Detection (BCED) ↗](https://aclanthology.org/S16-1142/)**Jari Björne, Tapio Salakoski*4 citations*
172. **[UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination ↗](https://aclanthology.org/S16-1078/)**Ladislav Lenc, Pavel Král, Václav Rajtmajer*4 citations*
173. **[YZU-NLP Team at SemEval-2016 Task 4: Ordinal Sentiment Classification Using a Recurrent Convolutional Network ↗](https://aclanthology.org/S16-1039/)**Yunchao He, Liang-Chih Yu, Chin-Sheng Yang et al.*4 citations*
174. **[BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content ↗](https://aclanthology.org/S16-1105/)**Hao Wu, Heyan Huang, Wenpeng Lu*3 citations*
175. **[DalGTM at SemEval-2016 Task 1: Importance-Aware Compositional Approach to Short Text Similarity ↗](https://aclanthology.org/S16-1118/)**Jie Mei, Aminul Islam, Evangelos Milios*3 citations*
176. **[Know-Center at SemEval-2016 Task 5: Using Word Vectors with Typed Dependencies for Opinion Target Expression Extraction ↗](https://aclanthology.org/S16-1042/)**Stefan Falk, Andi Rexha, Roman Kern*3 citations*
177. **[NRU-HSE at SemEval-2016 Task 4: Comparative Analysis of Two Iterative Methods Using Quantification Library ↗](https://aclanthology.org/S16-1025/)**Nikolay Karpov, Alexander Porshnev, Kirill Rudakov*3 citations*
178. **[UNBNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation ↗](https://aclanthology.org/S16-1113/)**Milton King, Waseem Gharbieh, SoHyun Park et al.*3 citations*
179. **[VectorWeavers at SemEval-2016 Task 10: From Incremental Meaning to Semantic Unit (phrase by phrase) ↗](https://aclanthology.org/S16-1145/)**Andreas Scherbakov, Ekaterina Vylomova, Fei Liu et al.*3 citations*
180. **[thecerealkiller at SemEval-2016 Task 4: Deep Learning based System for Classifying Sentiment of Tweets on Two Point Scale ↗](https://aclanthology.org/S16-1013/)**Vikrant Yadav*3 citations*
181. **[DCU-SEManiacs at SemEval-2016 Task 1: Synthetic Paragram Embeddings for Semantic Textual Similarity ↗](https://aclanthology.org/S16-1100/)**Chris Hokamp, Piyush Arora*2 citations*
182. **[DTSim at SemEval-2016 Task 1: Semantic Similarity Model Including Multi-Level Alignment and Vector-Based Compositional Semantics ↗](https://aclanthology.org/S16-1097/)**Rajendra Banjade, Nabin Maharjan, Dipesh Gautam et al.*2 citations*
183. **[DynamicPower at SemEval-2016 Task 8: Processing syntactic parse trees with a Dynamic Semantics core ↗](https://aclanthology.org/S16-1177/)**Alastair Butler*2 citations*
184. **[I2RNTU at SemEval-2016 Task 4: Classifier Fusion for Polarity Classification in Twitter ↗](https://aclanthology.org/S16-1008/)**Zhengchen Zhang, Chen Zhang, Fuxiang Wu et al.*2 citations*
185. **[IHS-RD-Belarus at SemEval-2016 Task 9: Transition-based Chinese Semantic Dependency Parsing with Online Reordering and Bootstrapping. ↗](https://aclanthology.org/S16-1187/)**Artsiom Artsymenia, Palina Dounar, Maria Yermakovich*2 citations*
186. **[INESC-ID at SemEval-2016 Task 4-A: Reducing the Problem of Out-of-Embedding Words ↗](https://aclanthology.org/S16-1036/)**Silvio Amir, Ramon F. Astudillo, Wang Ling et al.*2 citations*
187. **[ISCAS_NLP at SemEval-2016 Task 1: Sentence Similarity Based on Support Vector Regression using Multiple Features ↗](https://aclanthology.org/S16-1098/)**Cheng Fu, Bo An, Xianpei Han et al.*2 citations*
188. **[NUIG-UNLP at SemEval-2016 Task 1: Soft Alignment and Deep Learning for Semantic Textual Similarity ↗](https://aclanthology.org/S16-1110/)**John P. McCrae, Kartik Asooja, Nitish Aggarwal et al.*2 citations*
189. **[OCLSP at SemEval-2016 Task 9: Multilayered LSTM as a Neural Semantic Dependency Parser ↗](https://aclanthology.org/S16-1188/)**Lifeng Jin, Manjuan Duan, William Schuler*2 citations*
190. **[Rev at SemEval-2016 Task 2: Aligning Chunks by Lexical, Part of Speech and Semantic Equivalence ↗](https://aclanthology.org/S16-1120/)**Ping Tan, Karin Verspoor, Timothy Miller*2 citations*
191. **[UMNDuluth at SemEval-2016 Task 14: WordNet's Missing Lemmas ↗](https://aclanthology.org/S16-1211/)**Jon Rusert, Ted Pedersen*2 citations*
192. **[VCU-TSA at Semeval-2016 Task 4: Sentiment Analysis in Twitter ↗](https://aclanthology.org/S16-1032/)**Gerard Briones, Kasun Amarasinghe, Bridget McInnes*2 citations*
193. **[WHUNlp at SemEval-2016 Task DiMSUM: A Pilot Study in Detecting Minimal Semantic Units and their Meanings using Supervised Models ↗](https://aclanthology.org/S16-1141/)**Xin Tang, Fei Li, Donghong Ji*2 citations*
194. **[mib at SemEval-2016 Task 4a: Exploiting lexicon based features for Sentiment Analysis in Twitter ↗](https://aclanthology.org/S16-1019/)**Vittoria Cozza, Marinella Petrocchi*2 citations*
195. **[DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach ↗](https://aclanthology.org/S16-1029/)**Víctor Martinez Morant, LLuís-F. Hurtado, Ferran Pla*1 citation*
196. **[Duluth at SemEval 2016 Task 14: Extending Gloss Overlaps to Enrich Semantic Taxonomies ↗](https://aclanthology.org/S16-1207/)**Ted Pedersen*1 citation*
197. **[PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks. ↗](https://aclanthology.org/S16-1035/)**Uladzimir Sidarenka*1 citation*
198. **[USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box ↗](https://aclanthology.org/S16-1092/)**Ahmet Aker, Frederic Blain, Andres Duque et al.*1 citation*
199. **[UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation ↗](https://aclanthology.org/S16-1088/)**Peng Li, Heng Huang*1 citation*
200. **[UWaterloo at SemEval-2016 Task 5: Minimally Supervised Approaches to Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/S16-1060/)**Olga Vechtomova, Anni He*1 citation*

[← prev](https://md.research.elamur.ai/free/en/venues/semeval/2016/papers/) [1](https://md.research.elamur.ai/free/en/venues/semeval/2016/papers/) **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/3/)

- [← back to](https://md.research.elamur.ai/free/en/venues/semeval/2016/) — SemEval 2016