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title: "SemEval 2017 — all accepted papers, page 2 — Elamur Research"
description: "All 181 papers of SemEval 2017 · page 2 of 2, the most cited first; those with our summary link to it."
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# SemEval 2017: all accepted papers

181 papers · page 2 of 2 · the most cited first · [← SemEval 2017](https://md.research.elamur.ai/free/en/venues/semeval/2017/)

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101. **[TakeLab at SemEval-2017 Task 4: Recent Deaths and the Power of Nostalgia in Sentiment Analysis in Twitter ↗](https://aclanthology.org/S17-2132/)**David Lozić, Doria Šarić, Ivan Tokić et al.*8 citations*
102. **[The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields ↗](https://aclanthology.org/S17-2165/)**Lung-Hao Lee, Kuei-Ching Lee, Yuen-Hsien Tseng*8 citations*
103. **[UCSC-NLP at SemEval-2017 Task 4: Sense n-grams for Sentiment Analysis in Twitter ↗](https://aclanthology.org/S17-2136/)**José Abreu, Iván Castro, Claudia Martínez et al.*8 citations*
104. **[ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter ↗](https://aclanthology.org/S17-2106/)**Enkhzol Dovdon, José Saias*8 citations*
105. **[BuzzSaw at SemEval-2017 Task 7: Global vs. Local Context for Interpreting and Locating Homographic English Puns with Sense Embeddings ↗](https://aclanthology.org/S17-2076/)**Dieke Oele, Kilian Evang*7 citations*
106. **[ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification ↗](https://aclanthology.org/S17-2137/)**Yunxiao Zhou, Man Lan, Yuanbin Wu*7 citations*
107. **[EICA Team at SemEval-2017 Task 3: Semantic and Metadata-based Features for Community Question Answering ↗](https://aclanthology.org/S17-2047/)**Yufei Xie, Maoquan Wang, Jing Ma et al.*7 citations*
108. **[Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes ↗](https://aclanthology.org/S17-2176/)**Sarath P R, Manikandan R, Yoshiki Niwa*7 citations*
109. **[IBA-Sys at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News ↗](https://aclanthology.org/S17-2140/)**Zarmeen Nasim*7 citations*
110. **[Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity ↗](https://aclanthology.org/S17-2019/)**Cristina España-Bonet, Alberto Barrón-Cedeño*7 citations*
111. **[MERALI at SemEval-2017 Task 2 Subtask 1: a Cognitively Inspired approach ↗](https://aclanthology.org/S17-2038/)**Enrico Mensa, Daniele P. Radicioni, Antonio Lieto*7 citations*
112. **[NLG301 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News ↗](https://aclanthology.org/S17-2144/)**Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen*7 citations*
113. **[SVNIT @ SemEval 2017 Task-6: Learning a Sense of Humor Using Supervised Approach ↗](https://aclanthology.org/S17-2069/)**Rutal Mahajan, Mukesh Zaveri*7 citations*
114. **[Talla at SemEval-2017 Task 3: Identifying Similar Questions Through Paraphrase Detection ↗](https://aclanthology.org/S17-2062/)**Byron Galbraith, Bhanu Pratap, Daniel Shank*7 citations*
115. **[TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification ↗](https://aclanthology.org/S17-2127/)**Georgios Balikas*7 citations*
116. **[UWAV at SemEval-2017 Task 7: Automated feature-based system for locating puns ↗](https://aclanthology.org/S17-2077/)**Ankit Vadehra*7 citations*
117. **[COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines ↗](https://aclanthology.org/S17-2151/)**Kim Schouten, Flavius Frasincar, Franciska de Jong*6 citations*
118. **[EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION ↗](https://aclanthology.org/S17-2163/)**Steffen Eger, Erik-Lân Do Dinh, Ilia Kuznetsov et al.*6 citations*
119. **[ELiRF-UPV at SemEval-2017 Task 7: Pun Detection and Interpretation ↗](https://aclanthology.org/S17-2075/)**Lluís-F. Hurtado, Encarna Segarra, Ferran Pla et al.*6 citations*
120. **[HCS at SemEval-2017 Task 5: Polarity detection in business news using convolutional neural networks ↗](https://aclanthology.org/S17-2143/)**Lidia Pivovarova, Llorenç Escoter, Arto Klami et al.*6 citations*
121. **[L2F/INESC-ID at SemEval-2017 Tasks 1 and 2: Lexical and semantic features in word and textual similarity ↗](https://aclanthology.org/S17-2032/)**Pedro Fialho, Hugo Patinho Rodrigues, Luísa Coheur et al.*6 citations*
122. **[ResSim at SemEval-2017 Task 1: Multilingual Word Representations for Semantic Textual Similarity ↗](https://aclanthology.org/S17-2021/)**Johannes Bjerva, Robert Östling*6 citations*
123. **[The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing ↗](https://aclanthology.org/S17-2160/)**Rik van Noord, Johan Bos*6 citations*
124. **[UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity ↗](https://aclanthology.org/S17-2026/)**Joe Barrow, Denis Peskov*6 citations*
125. **[WING-NUS at SemEval-2017 Task 10: Keyphrase Extraction and Classification as Joint Sequence Labeling ↗](https://aclanthology.org/S17-2170/)**Animesh Prasad, Min-Yen Kan*6 citations*
126. **[YNUDLG at SemEval-2017 Task 4: A GRU-SVM Model for Sentiment Classification and Quantification in Twitter ↗](https://aclanthology.org/S17-2119/)**Ming Wang, Biao Chu, Qingxun Liu et al.*6 citations*
127. **[Citius at SemEval-2017 Task 2: Cross-Lingual Similarity from Comparable Corpora and Dependency-Based Contexts ↗](https://aclanthology.org/S17-2034/)**Pablo Gamallo*5 citations*
128. **[DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles ↗](https://aclanthology.org/S17-2147/)**Symeon Symeonidis, John Kordonis, Dimitrios Effrosynidis et al.*5 citations*
129. **[FuRongWang at SemEval-2017 Task 3: Deep Neural Networks for Selecting Relevant Answers in Community Question Answering ↗](https://aclanthology.org/S17-2052/)**Sheng Zhang, Jiajun Cheng, Hui Wang et al.*5 citations*
130. **[INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines ↗](https://aclanthology.org/S17-2142/)**Tiago Zini, Karin Becker, Marcelo Dias*5 citations*
131. **[NTU-1 at SemEval-2017 Task 12: Detection and classification of temporal events in clinical data with domain adaptation ↗](https://aclanthology.org/S17-2177/)**Po-Yu Huang, Hen-Hsen Huang, Yu-Wun Wang et al.*5 citations*
132. **[PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings ↗](https://aclanthology.org/S17-2029/)**I-Ta Lee, Mahak Goindani, Chang Li et al.*5 citations*
133. **[SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity ↗](https://aclanthology.org/S17-2049/)**Le Qi, Yu Zhang, Ting Liu*5 citations*
134. **[TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers ↗](https://aclanthology.org/S17-2172/)**Tomoki Tsujimura, Makoto Miwa, Yutaka Sasaki*5 citations*
135. **[TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier ↗](https://aclanthology.org/S17-2109/)**Naveen Kumar Laskari, Suresh Kumar Sanampudi*5 citations*
136. **[TakeLab at SemEval-2017 Task 6: \#RankingHumorIn4Pages ↗](https://aclanthology.org/S17-2066/)**Marin Kukovačec, Juraj Malenica, Ivan Mršić et al.*5 citations*
137. **[TakeLab-QA at SemEval-2017 Task 3: Classification Experiments for Answer Retrieval in Community QA ↗](https://aclanthology.org/S17-2055/)**Filip Šaina, Toni Kukurin, Lukrecija Puljić et al.*5 citations*
138. **[UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic ↗](https://aclanthology.org/S17-2044/)**Yassine El Adlouni, Imane Lahbari, Horacio Rodríguez et al.*5 citations*
139. **[Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter ↗](https://aclanthology.org/S17-2108/)**Alon Rozental, Daniel Fleischer*4 citations*
140. **[EICA at SemEval-2017 Task 4: A Simple Convolutional Neural Network for Topic-based Sentiment Classification ↗](https://aclanthology.org/S17-2124/)**Maoquan Wang, Shiyun Chen, Yufei Xie et al.*4 citations*
141. **[FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering ↗](https://aclanthology.org/S17-2048/)**Giuseppe Attardi, Antonio Carta, Federico Errica et al.*4 citations*
142. **[HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment ↗](https://aclanthology.org/S17-2039/)**Behrang QasemiZadeh, Laura Kallmeyer*4 citations*
143. **[LIPN-IIMAS at SemEval-2017 Task 1: Subword Embeddings, Attention Recurrent Neural Networks and Cross Word Alignment for Semantic Textual Similarity ↗](https://aclanthology.org/S17-2031/)**Ignacio Arroyo-Fernández, Ivan Vladimir Meza Ruiz*4 citations*
144. **[NLM_NIH at SemEval-2017 Task 3: from Question Entailment to Question Similarity for Community Question Answering ↗](https://aclanthology.org/S17-2057/)**Asma Ben Abacha, Dina Demner-Fushman*4 citations*
145. **[NRU-HSE at SemEval-2017 Task 4: Tweet Quantification Using Deep Learning Architecture ↗](https://aclanthology.org/S17-2113/)**Nikolay Karpov*4 citations*
146. **[NTNU-1@ScienceIE at SemEval-2017 Task 10: Identifying and Labelling Keyphrases with Conditional Random Fields ↗](https://aclanthology.org/S17-2162/)**Erwin Marsi, Utpal Kumar Sikdar, Cristina Marco et al.*4 citations*
147. **[QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings ↗](https://aclanthology.org/S17-2020/)**Fanqing Meng, Wenpeng Lu, Yuteng Zhang et al.*4 citations*
148. **[SINAI at SemEval-2017 Task 4: User based classification ↗](https://aclanthology.org/S17-2104/)**Salud María Jiménez-Zafra, Arturo Montejo-Ráez, Maite Martin et al.*4 citations*
149. **[SRHR at SemEval-2017 Task 6: Word Associations for Humour Recognition ↗](https://aclanthology.org/S17-2067/)**Andrew Cattle, Xiaojuan Ma*4 citations*
150. **[TrentoTeam at SemEval-2017 Task 3: An application of Grice Maxims in Ranking Community Question Answers](https://md.research.elamur.ai/free/en/papers/qwaider-2017-trentoteam-semeval-2017-task-3/)**Mohammed R. H. Qwaider, Abed Alhakim Freihat, Fausto Giunchiglia*4 citations · our summary*
151. **[UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation ↗](https://aclanthology.org/S17-2149/)**Vineet John, Olga Vechtomova*4 citations*
152. **[\#WarTeam at SemEval-2017 Task 6: Using Neural Networks for Discovering Humorous Tweets ↗](https://aclanthology.org/S17-2068/)**Iuliana Alexandra Fleșcan-Lovin-Arseni, Ramona Andreea Turcu, Cristina Sîrbu et al.*4 citations*
153. **[Adullam at SemEval-2017 Task 4: Sentiment Analyzer Using Lexicon Integrated Convolutional Neural Networks with Attention ↗](https://aclanthology.org/S17-2123/)**Joosung Yoon, Kigon Lyu, Hyeoncheol Kim*3 citations*
154. **[EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development ↗](https://aclanthology.org/S17-2175/)**Marek Kubis, Paweł Skórzewski, Tomasz Ziętkiewicz*3 citations*
155. **[HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity ↗](https://aclanthology.org/S17-2033/)**Junqing He, Long Wu, Xuemin Zhao et al.*3 citations*
156. **[ITNLP-AiKF at SemEval-2017 Task 1: Rich Features Based SVR for Semantic Textual Similarity Computing ↗](https://aclanthology.org/S17-2022/)**Wenjie Liu, Chengjie Sun, Lei Lin et al.*3 citations*
157. **[Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarity ↗](https://aclanthology.org/S17-2035/)**Josué Melka, Gilles Bernard*3 citations*
158. **[LIPN at SemEval-2017 Task 10: Filtering Candidate Keyphrases from Scientific Publications with Part-of-Speech Tag Sequences to Train a Sequence Labeling Model ↗](https://aclanthology.org/S17-2174/)**Simon David Hernandez, Davide Buscaldi, Thierry Charnois*3 citations*
159. **[MoRS at SemEval-2017 Task 3: Easy to use SVM in Ranking Tasks ↗](https://aclanthology.org/S17-2046/)**Miguel J. Rodrigues, Francisco M. Couto*3 citations*
160. **[NTNU-2 at SemEval-2017 Task 10: Identifying Synonym and Hyponym Relations among Keyphrases in Scientific Documents ↗](https://aclanthology.org/S17-2168/)**Biswanath Barik, Erwin Marsi*3 citations*
161. **[OPI-JSA at SemEval-2017 Task 1: Application of Ensemble learning for computing semantic textual similarity ↗](https://aclanthology.org/S17-2018/)**Martyna Śpiewak, Piotr Sobecki, Daniel Karaś*3 citations*
162. **[QLUT at SemEval-2017 Task 2: Word Similarity Based on Word Embedding and Knowledge Base ↗](https://aclanthology.org/S17-2036/)**Fanqing Meng, Wenpeng Lu, Yuteng Zhang et al.*3 citations*
163. **[RTM at SemEval-2017 Task 1: Referential Translation Machines for Predicting Semantic Similarity ↗](https://aclanthology.org/S17-2030/)**Ergun Biçici*3 citations*
164. **[ULISBOA at SemEval-2017 Task 12: Extraction and classification of temporal expressions and events ↗](https://aclanthology.org/S17-2179/)**Andre Lamurias, Diana Sousa, Sofia Pereira et al.*3 citations*
165. **[Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity ↗](https://aclanthology.org/S17-2042/)**Răzvan-Gabriel Rotari, Ionuț Hulub, Ștefan Oprea et al.*3 citations*
166. **[funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter ↗](https://aclanthology.org/S17-2145/)**Quanzhi Li, Sameena Shah, Armineh Nourbakhsh et al.*3 citations*
167. **[MI&T Lab at SemEval-2017 task 4: An Integrated Training Method of Word Vector for Sentiment Classification ↗](https://aclanthology.org/S17-2114/)**Jingjing Zhao, Yan Yang, Bing Xu*2 citations*
168. **[STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble ↗](https://aclanthology.org/S17-2025/)**Sarah Kohail, Amr Rekaby Salama, Chris Biemann*2 citations*
169. **[Sew-Embed at SemEval-2017 Task 2: Language-Independent Concept Representations from a Semantically Enriched Wikipedia ↗](https://aclanthology.org/S17-2041/)**Claudio Delli Bovi, Alessandro Raganato*2 citations*
170. **[UINSUSKA-TiTech at SemEval-2017 Task 3: Exploiting Word Importance Levels for Similarity Features for CQA ↗](https://aclanthology.org/S17-2061/)**Surya Agustian, Hiroya Takamura*2 citations*
171. **[UIT-DANGNT-CLNLP at SemEval-2017 Task 9: Building Scientific Concept Fixing Patterns for Improving CAMR ↗](https://aclanthology.org/S17-2156/)**Khoa Nguyen, Dang Nguyen*2 citations*
172. **[XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter ↗](https://aclanthology.org/S17-2122/)**Yazhou Hao, YangYang Lan, Yufei Li et al.*2 citations*
173. **[funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts ↗](https://aclanthology.org/S17-2125/)**Quanzhi Li, Armineh Nourbakhsh, Xiaomo Liu et al.*2 citations*
174. **[LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network ↗](https://aclanthology.org/S17-2164/)**Isabel Segura-Bedmar, Cristóbal Colón-Ruiz, Paloma Martínez*1 citation*
175. **[QUB at SemEval-2017 Task 6: Cascaded Imbalanced Classification for Humor Analysis in Twitter ↗](https://aclanthology.org/S17-2063/)**Xiwu Han, Gregory Toner*1 citation*
176. **[RUFINO at SemEval-2017 Task 2: Cross-lingual lexical similarity by extending PMI and word embeddings systems with a Swadesh's-like list ↗](https://aclanthology.org/S17-2037/)**Sergio Jimenez, George Dueñas, Lorena Gaitan et al.*1 citation*
177. **[SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification ↗](https://aclanthology.org/S17-2107/)**Raphaël Troncy, Enrico Palumbo, Efstratios Sygkounas et al.*1 citation*
178. **[TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision ↗](https://aclanthology.org/S17-2129/)**Simon Müller, Tobias Huonder, Jan Deriu et al.*1 citation*
179. **[Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator ↗](https://aclanthology.org/S17-2167/)**Roman Kern, Stefan Falk, Andi Rexha
180. **[LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network ↗](https://aclanthology.org/S17-2169/)**Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez
181. **[SZTE-NLP at SemEval-2017 Task 10: A High Precision Sequence Model for Keyphrase Extraction Utilizing Sparse Coding for Feature Generation ↗](https://aclanthology.org/S17-2173/)**Gábor Berend

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