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title: "SemEval 2019 — all accepted papers, page 3 — Elamur Research"
description: "All 232 papers of SemEval 2019 · page 3 of 3, the most cited first; those with our summary link to it."
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# SemEval 2019: all accepted papers

232 papers · page 3 of 3 · the most cited first · [← SemEval 2019](https://md.research.elamur.ai/free/en/venues/semeval/2019/)

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201. **[Lijunyi at SemEval-2019 Task 9: An attention-based LSTM and ensemble of different models for suggestion mining from online reviews and forums ↗](https://aclanthology.org/S19-2212/)**Junyi Li*2 citations*
202. **[MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues ↗](https://aclanthology.org/S19-2044/)**Chandrakant Bothe, Stefan Wermter*2 citations*
203. **[SSN_NLP at SemEval-2019 Task 3: Contextual Emotion Identification from Textual Conversation using Seq2Seq Deep Neural Network ↗](https://aclanthology.org/S19-2055/)**Senthil Kumar B., Thenmozhi D., Aravindan Chandrabose et al.*2 citations*
204. **[SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks ↗](https://aclanthology.org/S19-2056/)**Marco Polignano, Marco de Gemmis, Giovanni Semeraro*2 citations*
205. **[TUVD team at SemEval-2019 Task 6: Offense Target Identification ↗](https://aclanthology.org/S19-2135/)**Elena Shushkevich, John Cardiff, Paolo Rosso*2 citations*
206. **[Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System ↗](https://aclanthology.org/S19-2178/)**Rebekah Cramerus, Tatjana Scheffler*2 citations*
207. **[UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense ↗](https://aclanthology.org/S19-2140/)**Gustavo Henrique Paetzold*2 citations*
208. **[Zeyad at SemEval-2019 Task 6: That's Offensive! An All-Out Search For An Ensemble To Identify And Categorize Offense in Tweets. ↗](https://aclanthology.org/S19-2144/)**Zeyad El-Zanaty*2 citations*
209. **[BLCU_NLP at SemEval-2019 Task 8: A Contextual Knowledge-enhanced GPT Model for Fact Checking ↗](https://aclanthology.org/S19-2198/)**Wanying Xie, Mengxi Que, Ruoyao Yang et al.*1 citation*
210. **[BrainEE at SemEval-2019 Task 3: Ensembling Linear Classifiers for Emotion Prediction ↗](https://aclanthology.org/S19-2020/)**Vachagan Gratian*1 citation*
211. **[CLP at SemEval-2019 Task 3: Multi-Encoder in Hierarchical Attention Networks for Contextual Emotion Detection ↗](https://aclanthology.org/S19-2025/)**Changjie Li, Yun Xing*1 citation*
212. **[CX-ST-RNM at SemEval-2019 Task 3: Fusion of Recurrent Neural Networks Based on Contextualized and Static Word Representations for Contextual Emotion Detection ↗](https://aclanthology.org/S19-2028/)**Michał Perełkiewicz*1 citation*
213. **[DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification ↗](https://aclanthology.org/S19-2202/)**Anastasios Bairaktaris, Symeon Symeonidis, Avi Arampatzis*1 citation*
214. **[GWU NLP Lab at SemEval-2019 Task 3 : EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus ↗](https://aclanthology.org/S19-2038/)**Shabnam Tafreshi, Mona Diab*1 citation*
215. **[NTUA-ISLab at SemEval-2019 Task 3: Determining emotions in contextual conversations with deep learning ↗](https://aclanthology.org/S19-2047/)**Rolandos Alexandros Potamias, Georgios Siolas*1 citation*
216. **[RGCL-WLV at SemEval-2019 Task 12: Toponym Detection ↗](https://aclanthology.org/S19-2228/)**Alistair Plum, Tharindu Ranasinghe, Pablo Calleja et al.*1 citation*
217. **[TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection ↗](https://aclanthology.org/S19-2061/)**Zhishen Yang, Sam Vijlbrief, Naoaki Okazaki*1 citation*
218. **[TueFact at SemEval 2019 Task 8: Fact checking in community question answering forums: context matters ↗](https://aclanthology.org/S19-2206/)**Réka Juhász, Franziska Barbara Linnenschmidt, Teslin Roys*1 citation*
219. **[TüKaSt at SemEval-2019 Task 6: Something Old, Something Neu(ral): Traditional and Neural Approaches to Offensive Text Classification ↗](https://aclanthology.org/S19-2134/)**Madeeswaran Kannan, Lukas Stein*1 citation*
220. **[UAIC at SemEval-2019 Task 3: Extracting Much from Little ↗](https://aclanthology.org/S19-2062/)**Cristian Simionescu, Ingrid Stoleru, Diana Lucaci et al.*1 citation*
221. **[ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector ↗](https://aclanthology.org/S19-2027/)**Rafał Poświata
222. **[GL at SemEval-2019 Task 5: Identifying hateful tweets with a deep learning approach. ↗](https://aclanthology.org/S19-2073/)**Gretel Liz De la Peña
223. **[GenSMT at SemEval-2019 Task 3: Contextual Emotion Detection in tweets using multi task generic approach ↗](https://aclanthology.org/S19-2037/)**Dumitru Bogdan
224. **[KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances. ↗](https://aclanthology.org/S19-2040/)**Jasabanta Patro, Nitin Choudhary, Kalpit Chittora et al.
225. **[NL-FIIT at SemEval-2019 Task 3: Emotion Detection From Conversational Triplets Using Hierarchical Encoders ↗](https://aclanthology.org/S19-2046/)**Michal Farkas, Peter Lacko
226. **[NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass using Multi-windowed CNNs ↗](https://aclanthology.org/S19-2125/)**Jonathan Rusert, Padmini Srinivasan
227. **[Podlab at SemEval-2019 Task 3: The Importance of Being Shallow ↗](https://aclanthology.org/S19-2050/)**Andrew Nguyen, Tobin South, Nigel Bean et al.
228. **[Sentim at SemEval-2019 Task 3: Convolutional Neural Networks For Sentiment in Conversations ↗](https://aclanthology.org/S19-2052/)**Jacob Anderson
229. **[SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums ↗](https://aclanthology.org/S19-2204/)**Ankita Gupta, Sudeep Kumar Sahoo, Divya Prakash et al.
230. **[TDBot at SemEval-2019 Task 3: Context Aware Emotion Detection Using A Conditioned Classification Approach ↗](https://aclanthology.org/S19-2058/)**Sourabh Maity
231. **[TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums ↗](https://aclanthology.org/S19-2205/)**Piotr Niewiński, Aleksander Wawer, Maria Pszona et al.
232. **[YNU-HPCC at SemEval-2019 Task 8: Using A LSTM-Attention Model for Fact-Checking in Community Forums ↗](https://aclanthology.org/S19-2207/)**Peng Liu, Jin Wang, Xuejie Zhang

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