Lexical and Computational Semantics and Semantic Evaluation (formerly Workshop on Sense Evaluation) (2019)


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pdf (full)bib Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)

pdf bib Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
[S19-1000]: Rada Mihalcea | Ekaterina Shutova | Lun-Wei Ku | Kilian Evang | Soujanya Poria

pdf bib SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction
[S19-1001]: Anna Hätty | Dominik Schlechtweg | Sabine Schulte im Walde

pdf bib Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes
[S19-1002]: Aina Garí Soler | Marianna Apidianaki | Alexandre Allauzen

pdf bib Beyond Context: A New Perspective for Word Embeddings
[S19-1003]: Yichu Zhou | Vivek Srikumar

pdf bib Composition of Embeddings : Lessons from Statistical Relational Learning
[S19-1004]: Damien Sileo | Tim Van De Cruys | Camille Pradel | Philippe Muller

pdf bib Multi-Label Transfer Learning for Multi-Relational Semantic Similarity
[S19-1005]: Li Zhang | Steven Wilson | Rada Mihalcea

pdf bib Scalable Cross-Lingual Transfer of Neural Sentence Embeddings
[S19-1006]: Hanan Aldarmaki | Mona Diab

pdf bib Second-order contexts from lexical substitutes for few-shot learning of word representations
[S19-1007]: Qianchu Liu | Diana McCarthy | Anna Korhonen

pdf bib Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis
[S19-1008]: Dongfang Xu | Egoitz Laparra | Steven Bethard

pdf bib Bot2Vec: Learning Representations of Chatbots
[S19-1009]: Jonathan Herzig | Tommy Sandbank | Michal Shmueli-Scheuer | David Konopnicki

pdf bib Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors
[S19-1010]: Anne Lauscher | Goran Glavaš

pdf bib A Semantic Cover Approach for Topic Modeling
[S19-1011]: Rajagopal Venkatesaramani | Doug Downey | Bradley Malin | Yevgeniy Vorobeychik

pdf bib MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants
[S19-1012]: Simon Ostermann | Michael Roth | Manfred Pinkal

pdf bib Deconstructing multimodality: visual properties and visual context in human semantic processing
[S19-1013]: Christopher Davis | Luana Bulat | Anita Lilla Vero | Ekaterina Shutova

pdf bib Learning Graph Embeddings from WordNet-based Similarity Measures
[S19-1014]: Andrey Kutuzov | Mohammad Dorgham | Oleksiy Oliynyk | Chris Biemann | Alexander Panchenko

pdf bib Neural User Factor Adaptation for Text Classification: Learning to Generalize Across Author Demographics
[S19-1015]: Xiaolei Huang | Michael J. Paul

pdf bib Abstract Graphs and Abstract Paths for Knowledge Graph Completion
[S19-1016]: Vivi Nastase | Bhushan Kotnis

pdf bib A Corpus of Negations and their Underlying Positive Interpretations
[S19-1017]: Zahra Sarabi | Erin Killian | Eduardo Blanco | Alexis Palmer

pdf bib Enthymemetic Conditionals
[S19-1018]: Eimear Maguire

pdf bib Acquiring Structured Temporal Representation via Crowdsourcing: A Feasibility Study
[S19-1019]: Yuchen Zhang | Nianwen Xue

pdf bib Exploration of Noise Strategies in Semi-supervised Named Entity Classification
[S19-1020]: Pooja Lakshmi Narayan | Ajay Nagesh | Mihai Surdeanu

pdf bib Improving Generalization in Coreference Resolution via Adversarial Training
[S19-1021]: Sanjay Subramanian | Dan Roth

pdf bib Improving Human Needs Categorization of Events with Semantic Classification
[S19-1022]: Haibo Ding | Ellen Riloff | Zhe Feng

pdf bib Word Embeddings (Also) Encode Human Personality Stereotypes
[S19-1023]: Oshin Agarwal | Funda Durupınar | Norman I. Badler | Ani Nenkova

pdf bib Automatic Accuracy Prediction for AMR Parsing
[S19-1024]: Juri Opitz | Anette Frank

pdf bib An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling
[S19-1025]: Juri Opitz | Anette Frank

pdf bib Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
[S19-1026]: Najoung Kim | Roma Patel | Adam Poliak | Patrick Xia | Alex Wang | Tom McCoy | Ian Tenney | Alexis Ross | Tal Linzen | Benjamin Van Durme | Samuel R. Bowman | Ellie Pavlick

pdf bib HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning
[S19-1027]: Hitomi Yanaka | Koji Mineshima | Daisuke Bekki | Kentaro Inui | Satoshi Sekine | Lasha Abzianidze | Johan Bos

pdf bib On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference
[S19-1028]: Yonatan Belinkov | Adam Poliak | Stuart Shieber | Benjamin Van Durme | Alexander Rush

pdf bib Bayesian Inference Semantics: A Modelling System and A Test Suite
[S19-1029]: Jean-Philippe Bernardy | Rasmus Blanck | Stergios Chatzikyriakidis | Shalom Lappin | Aleksandre Maskharashvili

pdf bib Target Based Speech Act Classification in Political Campaign Text
[S19-1030]: Shivashankar Subramanian | Trevor Cohn | Timothy Baldwin

pdf bib Incivility Detection in Online Comments
[S19-1031]: Farig Sadeque | Stephen Rains | Yotam Shmargad | Kate Kenski | Kevin Coe | Steven Bethard

pdf bib Generating Animations from Screenplays
[S19-1032]: Yeyao Zhang | Eleftheria Tsipidi | Sasha Schriber | Mubbasir Kapadia | Markus Gross | Ashutosh Modi


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pdf (full)bib Proceedings of the 13th International Workshop on Semantic Evaluation

pdf bib Proceedings of the 13th International Workshop on Semantic Evaluation
[S19-2000]: Jonathan May | Ekaterina Shutova | Aurelie Herbelot | Xiaodan Zhu | Marianna Apidianaki | Saif M. Mohammad

pdf bib SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA
[S19-2001]: Daniel Hershcovich | Zohar Aizenbud | Leshem Choshen | Elior Sulem | Ari Rappoport | Omri Abend

pdf bib HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing
[S19-2002]: Wei Jiang | Zhenghua Li | Yu Zhang | Min Zhang

pdf bib SemEval-2019 Task 2: Unsupervised Lexical Frame Induction
[S19-2003]: Behrang QasemiZadeh | Miriam R. L. Petruck | Regina Stodden | Laura Kallmeyer | Marie Candito

pdf bib Neural GRANNy at SemEval-2019 Task 2: A combined approach for better modeling of semantic relationships in semantic frame induction
[S19-2004]: Nikolay Arefyev | Boris Sheludko | Adis Davletov | Dmitry Kharchev | Alex Nevidomsky | Alexander Panchenko

pdf bib SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text
[S19-2005]: Ankush Chatterjee | Kedhar Nath Narahari | Meghana Joshi | Puneet Agrawal

pdf bib ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT
[S19-2006]: Chenyang Huang | Amine Trabelsi | Osmar Zaïane

pdf bib SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
[S19-2007]: Valerio Basile | Cristina Bosco | Elisabetta Fersini | Debora Nozza | Viviana Patti | Francisco Manuel Rangel Pardo | Paolo Rosso | Manuela Sanguinetti

pdf bib Atalaya at SemEval 2019 Task 5: Robust Embeddings for Tweet Classification
[S19-2008]: Juan Manuel Pérez | Franco M. Luque

pdf bib FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter
[S19-2009]: Vijayasaradhi Indurthi | Bakhtiyar Syed | Manish Shrivastava | Nikhil Chakravartula | Manish Gupta | Vasudeva Varma

pdf bib SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)
[S19-2010]: Marcos Zampieri | Shervin Malmasi | Preslav Nakov | Sara Rosenthal | Noura Farra | Ritesh Kumar

pdf bib NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers
[S19-2011]: Ping Liu | Wen Li | Liang Zou

pdf bib CUNY-PKU Parser at SemEval-2019 Task 1: Cross-Lingual Semantic Parsing with UCCA
[S19-2012]: Weimin Lyu | Sheng Huang | Abdul Rafae Khan | Shengqiang Zhang | Weiwei Sun | Jia Xu

pdf bib DANGNT@UIT.VNU-HCM at SemEval 2019 Task 1: Graph Transformation System from Stanford Basic Dependencies to Universal Conceptual Cognitive Annotation (UCCA)
[S19-2013]: Dang Tuan Nguyen | Trung Tran

pdf bib GCN-Sem at SemEval-2019 Task 1: Semantic Parsing using Graph Convolutional and Recurrent Neural Networks
[S19-2014]: Shiva Taslimipoor | Omid Rohanian | Sara Može

pdf bib MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging
[S19-2015]: Gabriel Marzinotto | Johannes Heinecke | Géraldine Damnati

pdf bib Tüpa at SemEval-2019 Task1: (Almost) feature-free Semantic Parsing
[S19-2016]: Tobias Pütz | Kevin Glocker

pdf bib UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder
[S19-2017]: Dian Yu | Kenji Sagae

pdf bib HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings
[S19-2018]: Saba Anwar | Dmitry Ustalov | Nikolay Arefyev | Simone Paolo Ponzetto | Chris Biemann | Alexander Panchenko

pdf bib L2F/INESC-ID at SemEval-2019 Task 2: Unsupervised Lexical Semantic Frame Induction using Contextualized Word Representations
[S19-2019]: Eugénio Ribeiro | Vânia Mendonça | Ricardo Ribeiro | David Martins de Matos | Alberto Sardinha | Ana Lúcia Santos | Luísa Coheur

pdf bib BrainEE at SemEval-2019 Task 3: Ensembling Linear Classifiers for Emotion Prediction
[S19-2020]: Vachagan Gratian

pdf bib CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
[S19-2021]: Genta Indra Winata | Andrea Madotto | Zhaojiang Lin | Jamin Shin | Yan Xu | Peng Xu | Pascale Fung

pdf bib CECL at SemEval-2019 Task 3: Using Surface Learning for Detecting Emotion in Textual Conversations
[S19-2022]: Yves Bestgen

pdf bib CLaC Lab at SemEval-2019 Task 3: Contextual Emotion Detection Using a Combination of Neural Networks and SVM
[S19-2023]: Elham Mohammadi | Hessam Amini | Leila Kosseim

pdf bib CLARK at SemEval-2019 Task 3: Exploring the Role of Context to Identify Emotion in a Short Conversation
[S19-2024]: Joseph Cummings | Jason Wilson

pdf bib CLP at SemEval-2019 Task 3: Multi-Encoder in Hierarchical Attention Networks for Contextual Emotion Detection
[S19-2025]: Changjie Li | Yun Xing

pdf bib CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs
[S19-2026]: Ana Valeria González | Victor Petrén Bach Hansen | Joachim Bingel | Isabelle Augenstein | Anders Søgaard

pdf bib ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector
[S19-2027]: Rafał Poświata

pdf bib CX-ST-RNM at SemEval-2019 Task 3: Fusion of Recurrent Neural Networks Based on Contextualized and Static Word Representations for Contextual Emotion Detection
[S19-2028]: Michał Perełkiewicz

pdf bib ParallelDots at SemEval-2019 Task 3: Domain Adaptation with feature embeddings for Contextual Emotion Analysis
[S19-2029]: Akansha Jain | Ishita Aggarwal | Ankit Singh

pdf bib E-LSTM at SemEval-2019 Task 3: Semantic and Sentimental Features Retention for Emotion Detection in Text
[S19-2030]: Harsh Patel

pdf bib ELiRF-UPV at SemEval-2019 Task 3: Snapshot Ensemble of Hierarchical Convolutional Neural Networks for Contextual Emotion Detection
[S19-2031]: José-Ángel González | Lluís-F. Hurtado | Ferran Pla

pdf bib EmoDet at SemEval-2019 Task 3: Emotion Detection in Text using Deep Learning
[S19-2032]: Hani Al-Omari | Malak Abdullah | Nabeel Bassam

pdf bib EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text
[S19-2033]: Nikhil Chakravartula | Vijayasaradhi Indurthi

pdf bib EmoSense at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations
[S19-2034]: Sergey Smetanin

pdf bib EPITA-ADAPT at SemEval-2019 Task 3: Detecting emotions in textual conversations using deep learning models combination
[S19-2035]: Abdessalam Bouchekif | Praveen Joshi | Latifa Bouchekif | Haithem Afli

pdf bib Figure Eight at SemEval-2019 Task 3: Ensemble of Transfer Learning Methods for Contextual Emotion Detection
[S19-2036]: Joan Xiao

pdf bib GenSMT at SemEval-2019 Task 3: Contextual Emotion Detection in tweets using multi task generic approach
[S19-2037]: Dumitru Bogdan

pdf bib GWU NLP Lab at SemEval-2019 Task 3 :EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus
[S19-2038]: Shabnam Tafreshi | Mona Diab

pdf bib IIT Gandhinagar at SemEval-2019 Task 3: Contextual Emotion Detection Using Deep Learning
[S19-2039]: Arik Pamnani | Rajat Goel | Jayesh Choudhari | Mayank Singh

pdf bib KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances.
[S19-2040]: Jasabanta Patro | Nitin Choudhary | Kalpit Chittora | Animesh Mukherjee

pdf bib KSU at SemEval-2019 Task 3: Hybrid Features for Emotion Recognition in Textual Conversation
[S19-2041]: Nourah Alswaidan | Mohamed El Bachir Menai

pdf bib LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification
[S19-2042]: Waleed Ragheb | Jérôme Azé | Sandra Bringay | Maximilien Servajean

pdf bib MILAB at SemEval-2019 Task 3: Multi-View Turn-by-Turn Model for Context-Aware Sentiment Analysis
[S19-2043]: Yoonhyung Lee | Yanghoon Kim | Kyomin Jung

pdf bib MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues
[S19-2044]: Chandrakant Bothe | Stefan Wermter

pdf bib NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep
[S19-2045]: Parag Agrawal | Anshuman Suri

pdf bib NL-FIIT at SemEval-2019 Task 3: Emotion Detection From Conversational Triplets Using Hierarchical Encoders
[S19-2046]: Michal Farkas | Peter Lacko

pdf bib NTUA-ISLab at SemEval-2019 Task 3: Determining emotions in contextual conversations with deep learning
[S19-2047]: Rolandos Alexandros Potamias | Gergios Siolas

pdf bib ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN
[S19-2048]: Peixiang Zhong | Chunyan Miao

pdf bib PKUSE at SemEval-2019 Task 3: Emotion Detection with Emotion-Oriented Neural Attention Network
[S19-2049]: Luyao Ma | Long Zhang | Wei Ye | Wenhui Hu

pdf bib Podlab at SemEval-2019 Task 3: The Importance of Being Shallow
[S19-2050]: Andrew Nguyen | Tobin South | Nigel Bean | Jonathan Tuke | Lewis Mitchell

pdf bib SCIA at SemEval-2019 Task 3: Sentiment Analysis in Textual Conversations Using Deep Learning
[S19-2051]: Zinedine Rebiai | Simon Andersen | Antoine Debrenne | Victor Lafargue

pdf bib Sentim at SemEval-2019 Task 3: Convolutional Neural Networks For Sentiment in Conversations
[S19-2052]: Jacob Anderson

pdf bib SINAI at SemEval-2019 Task 3: Using affective features for emotion classification in textual conversations
[S19-2053]: Flor Miriam Plaza-del-Arco | M. Dolores Molina-González | Maite Martin | L. Alfonso Ureña-López

pdf bib SNU IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification
[S19-2054]: Sanghwan Bae | Jihun Choi | Sang-goo Lee

pdf bib SSN_NLP at SemEval-2019 Task 3: Contextual Emotion Identification from Textual Conversation using Seq2Seq Deep Neural Network
[S19-2055]: Senthil Kumar B. | Thenmozhi D. | Aravindan Chandrabose | Srinethe Sharavanan

pdf bib SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks
[S19-2056]: Marco Polignano | Marco de Gemmis | Giovanni Semeraro

pdf bib SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations
[S19-2057]: Angelo Basile | Marc Franco-Salvador | Neha Pawar | Sanja Štajner | Mara Chinea Rios | Yassine Benajiba

pdf bib TDBot at SemEval-2019 Task 3: Context Aware Emotion Detection Using A Conditioned Classification Approach
[S19-2058]: Sourabh Maity

pdf bib THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN
[S19-2059]: Suyu Ge | Tao Qi | Chuhan Wu | Yongfeng Huang

pdf bib THU-HCSI at SemEval-2019 Task 3: Hierarchical Ensemble Classification of Contextual Emotion in Conversation
[S19-2060]: Xihao Liang | Ye Ma | Mingxing Xu

pdf bib TokyoTech_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection
[S19-2061]: Zhishen Yang | Sam Vijlbrief | Naoaki Okazaki

pdf bib UAIC at SemEval-2019 Task 3: Extracting Much from Little
[S19-2062]: Cristian Simionescu | Ingrid Stoleru | Diana Lucaci | Gheorghe Balan | Iulian Bute | Adrian Iftene

pdf bib YUN-HPCC at SemEval-2019 Task 3: Multi-Step Ensemble Neural Network for Sentiment Analysis in Textual Conversation
[S19-2063]: Dawei Li | Jin Wang | Xuejie Zhang

pdf bib KDEHatEval at SemEval-2019 Task 5: A Neural Network Model for Detecting Hate Speech in Twitter
[S19-2064]: Umme Aymun Siddiqua | Abu Nowshed Chy | Masaki Aono

pdf bib ABARUAH at SemEval-2019 Task 5 : Bi-directional LSTM for Hate Speech Detection
[S19-2065]: Arup Baruah | Ferdous Barbhuiya | Kuntal Dey

pdf bib Amobee at SemEval-2019 Tasks 5 and 6: Multiple Choice CNN Over Contextual Embedding
[S19-2066]: Alon Rozental | Dadi Biton

pdf bib CIC at SemEval-2019 Task 5: Simple Yet Very Efficient Approach to Hate Speech Detection, Aggressive Behavior Detection, and Target Classification in Twitter
[S19-2067]: Iqra Ameer | Muhammad Hammad Fahim Siddiqui | Grigori Sidorov | Alexander Gelbukh

pdf bib CiTIUS-COLE at SemEval-2019 Task 5: Combining Linguistic Features to Identify Hate Speech Against Immigrants and Women on Multilingual Tweets
[S19-2068]: Sattam Almatarneh | Pablo Gamallo | Francisco J. Ribadas Pena

pdf bib Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate
[S19-2069]: Mike Zhang | Roy David | Leon Graumans | Gerben Timmerman

pdf bib GSI-UPM at SemEval-2019 Task 5: Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter
[S19-2070]: Diego Benito | Oscar Araque | Carlos A. Iglesias

pdf bib HATEMINER at SemEval-2019 Task 5: Hate speech detection against Immigrants and Women in Twitter using a Multinomial Naive Bayes Classifier
[S19-2071]: Nikhil Chakravartula

pdf bib HATERecognizer at SemEval-2019 Task 5: Using Features and Neural Networks to Face Hate Recognition
[S19-2072]: Victor Nina-Alcocer

pdf bib GL at SemEval-2019 Task 5: Identifying hateful tweets with a deep learning approach.
[S19-2073]: Gretel Liz De la Peña

pdf bib INF-HatEval at SemEval-2019 Task 5: Convolutional Neural Networks for Hate Speech Detection Against Women and Immigrants on Twitter
[S19-2074]: Alison Ribeiro | Nádia Silva

pdf bib JCTDHS at SemEval-2019 Task 5: Detection of Hate Speech in Tweets using Deep Learning Methods, Character N-gram Features, and Preprocessing Methods
[S19-2075]: Yaakov HaCohen-Kerner | Elyashiv Shayovitz | Shalom Rochman | Eli Cahn | Gal Didi | Ziv Ben-David

pdf bib Know-Center at SemEval-2019 Task 5: Multilingual Hate Speech Detection on Twitter using CNNs
[S19-2076]: Kevin Winter | Roman Kern

pdf bib LT3 at SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (hatEval)
[S19-2077]: Nina Bauwelinck | Gilles Jacobs | Véronique Hoste | Els Lefever

pdf bib ltl.uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter
[S19-2078]: Huangpan Zhang | Michael Wojatzki | Tobias Horsmann | Torsten Zesch

pdf bib MineriaUNAM at SemEval-2019 Task 5: Detecting Hate Speech in Twitter using Multiple Features in a Combinatorial Framework
[S19-2079]: Luis Enrique Argota Vega | Jorge Carlos Reyes-Magaña | Helena Gómez-Adorno | Gemma Bel-Enguix

pdf bib MITRE at SemEval-2019 Task 5: Transfer Learning for Multilingual Hate Speech Detection
[S19-2080]: Abigail Gertner | John Henderson | Elizabeth Merkhofer | Amy Marsh | Ben Wellner | Guido Zarrella

pdf bib Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter at SemEval-2019 Task 5: Frequency Analysis Interpolation for Hate in Speech Detection
[S19-2081]: Òscar Garibo i Orts

pdf bib STUFIIT at SemEval-2019 Task 5: Multilingual Hate Speech Detection on Twitter with MUSE and ELMo Embeddings
[S19-2082]: Michal Bojkovský | Matúš Pikuliak

pdf bib Saagie at Semeval-2019 Task 5: From Universal Text Embeddings and Classical Features to Domain-specific Text Classification
[S19-2083]: Miriam Benballa | Sebastien Collet | Romain Picot-Clemente

pdf bib SINAI at SemEval-2019 Task 5: Ensemble learning to detect hate speech against inmigrants and women in English and Spanish tweets
[S19-2084]: Flor Miriam Plaza-del-Arco | M. Dolores Molina-González | Maite Martin | L. Alfonso Ureña-López

pdf bib SINAI-DL at SemEval-2019 Task 5: Recurrent networks and data augmentation by paraphrasing
[S19-2085]: Arturo Montejo-Ráez | Salud María Jiménez-Zafra | Miguel A. García-Cumbreras | Manuel Carlos Díaz-Galiano

pdf bib sthruggle at SemEval-2019 Task 5: An Ensemble Approach to Hate Speech Detection
[S19-2086]: Aria Nourbakhsh | Frida Vermeer | Gijs Wiltvank | Rob van der Goot

pdf bib The binary trio at SemEval-2019 Task 5: Multitarget Hate Speech Detection in Tweets
[S19-2087]: Patricia Chiril | Farah Benamara Zitoune | Véronique Moriceau | Abhishek Kumar

pdf bib The Titans at SemEval-2019 Task 5: Detection of hate speech against immigrants and women in Twitter
[S19-2088]: Avishek Garain | Arpan Basu

pdf bib TuEval at SemEval-2019 Task 5: LSTM Approach to Hate Speech Detection in English and Spanish
[S19-2089]: Mihai Manolescu | Denise Löfflad | Adham Nasser Mohamed Saber | Masoumeh Moradipour Tari

pdf bib Tw-StAR at SemEval-2019 Task 5: N-gram embeddings for Hate Speech Detection in Multilingual Tweets
[S19-2090]: Hala Mulki | Chedi Bechikh Ali | Hatem Haddad | Ismail Babaoğlu

pdf bib UA at SemEval-2019 Task 5: Setting A Strong Linear Baseline for Hate Speech Detection
[S19-2091]: Carlos Perelló | David Tomás | Alberto Garcia-Garcia | Jose Garcia-Rodriguez | Jose Camacho-Collados

pdf bib UNBNLP at SemEval-2019 Task 5 and 6: Using Language Models to Detect Hate Speech and Offensive Language
[S19-2092]: Ali Hakimi Parizi | Milton King | Paul Cook

pdf bib UTFPR at SemEval-2019 Task 5: Hate Speech Identification with Recurrent Neural Networks
[S19-2093]: Gustavo Henrique Paetzold | Marcos Zampieri | Shervin Malmasi

pdf bib Vista.ue at SemEval-2019 Task 5: Single Multilingual Hate Speech Detection Model
[S19-2094]: Kashyap Raiyani | Teresa Gonçalves | Paulo Quaresma | Vitor Nogueira

pdf bib YNU NLP at SemEval-2019 Task 5: Attention and Capsule Ensemble for Identifying Hate Speech
[S19-2095]: Bin Wang | Haiyan Ding

pdf bib YNU_DYX at SemEval-2019 Task 5: A Stacked BiGRU Model Based on Capsule Network in Detection of Hate
[S19-2096]: Yunxia Ding | Xiaobing Zhou | Xuejie Zhang

pdf bib Amrita School of Engineering - CSE at SemEval-2019 Task 6: Manipulating Attention with Temporal Convolutional Neural Network for Offense Identification and Classification
[S19-2097]: Murali Sridharan | Swapna TR

pdf bib bhanodaig at SemEval-2019 Task 6: Categorizing Offensive Language in social media
[S19-2098]: Ritesh Kumar | Guggilla Bhanodai | Rajendra Pamula | Maheswara Reddy Chennuru

pdf bib BNU-HKBU UIC NLP Team 2 at SemEval-2019 Task 6: Detecting Offensive Language Using BERT model
[S19-2099]: Zhenghao Wu | Hao Zheng | Jianming Wang | Weifeng Su | Jefferson Fong

pdf bib CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets
[S19-2100]: Guy Aglionby | Chris Davis | Pushkar Mishra | Andrew Caines | Helen Yannakoudakis | Marek Rei | Ekaterina Shutova | Paula Buttery

pdf bib CN-HIT-MI.T at SemEval-2019 Task 6: Offensive Language Identification Based on BiLSTM with Double Attention
[S19-2101]: Yaojie Zhang | Bing Xu | Tiejun Zhao

pdf bib ConvAI at SemEval-2019 Task 6: Offensive Language Identification and Categorization with Perspective and BERT
[S19-2102]: John Pavlopoulos | Nithum Thain | Lucas Dixon | Ion Androutsopoulos

pdf bib DA-LD-Hildesheim at SemEval-2019 Task 6: Tracking Offensive Content with Deep Learning using Shallow Representation
[S19-2103]: Sandip Modha | Prasenjit Majumder | Daksh Patel

pdf bib DeepAnalyzer at SemEval-2019 Task 6: A deep learning-based ensemble method for identifying offensive tweets
[S19-2104]: Gretel Liz De la Peña | Paolo Rosso

pdf bib NLP at SemEval-2019 Task 6: Detecting Offensive language using Neural Networks
[S19-2105]: Prashant Kapil | Asif Ekbal | Dipankar Das

pdf bib Duluth at SemEval-2019 Task 6: Lexical Approaches to Identify and Categorize Offensive Tweets
[S19-2106]: Ted Pedersen

pdf bib Emad at SemEval-2019 Task 6: Offensive Language Identification using Traditional Machine Learning and Deep Learning approaches
[S19-2107]: Emad Kebriaei | Samaneh Karimi | Nazanin Sabri | Azadeh Shakery

pdf bib Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches
[S19-2108]: Andraž Pelicon | Matej Martinc | Petra Kralj Novak

pdf bib Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings
[S19-2109]: Vijayasaradhi Indurthi | Bakhtiyar Syed | Manish Shrivastava | Manish Gupta | Vasudeva Varma

pdf bib Ghmerti at SemEval-2019 Task 6: A Deep Word- and Character-based Approach to Offensive Language Identification
[S19-2110]: Ehsan Doostmohammadi | Hossein Sameti | Ali Saffar

pdf bib HAD-Tübingen at SemEval-2019 Task 6: Deep Learning Analysis of Offensive Language on Twitter: Identification and Categorization
[S19-2111]: Himanshu Bansal | Daniel Nagel | Anita Soloveva

pdf bib HHU at SemEval-2019 Task 6: Context Does Matter - Tackling Offensive Language Identification and Categorization with ELMo
[S19-2112]: Alexander Oberstrass | Julia Romberg | Anke Stoll | Stefan Conrad

pdf bib Hope at SemEval-2019 Task 6: Mining social media language to discover offensive language
[S19-2113]: Gabriel Florentin Patras | Diana Florina Lungu | Daniela Gifu | Diana Trandabat

pdf bib INGEOTEC at SemEval-2019 Task 5 and Task 6: A Genetic Programming Approach for Text Classification
[S19-2114]: Mario Graff | Sabino Miranda-Jiménez | Eric Tellez | Daniela Alejandra Ochoa

pdf bib JCTICOL at SemEval-2019 Task 6: Classifying Offensive Language in Social Media using Deep Learning Methods, Word/Character N-gram Features, and Preprocessing Methods
[S19-2115]: Yaakov HaCohen-Kerner | Ziv Ben-David | Gal Didi | Eli Cahn | Shalom Rochman | Elyashiv Shayovitz

pdf bib jhan014 at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media
[S19-2116]: Jiahui Han | Shengtan Wu | Xinyu Liu

pdf bib JTML at SemEval-2019 Task 6: Offensive Tweets Identification using Convolutional Neural Networks
[S19-2117]: Johnny Torres | Carmen Vaca

pdf bib JU_ETCE_17_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets
[S19-2118]: Preeti Mukherjee | Mainak Pal | Somnath Banerjee | Sudip Kumar Naskar

pdf bib KMI-Coling at SemEval-2019 Task 6: Exploring N-grams for Offensive Language detection
[S19-2119]: Priya Rani | Atul Kr. Ojha

pdf bib LaSTUS/TALN at SemEval-2019 Task 6: Identification and Categorization of Offensive Language in Social Media with Attention-based Bi-LSTM model
[S19-2120]: Lutfiye Seda Mut Altin | Àlex Bravo Serrano | Horacio Saggion

pdf bib LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness
[S19-2121]: Piush Aggarwal | Tobias Horsmann | Michael Wojatzki | Torsten Zesch

pdf bib MIDAS at SemEval-2019 Task 6: Identifying Offensive Posts and Targeted Offense from Twitter
[S19-2122]: Debanjan Mahata | Haimin Zhang | Karan Uppal | Yaman Kumar | Rajiv Ratn Shah | Simra Shahid | Laiba Mehnaz | Sarthak Anand

pdf bib Nikolov-Radivchev at SemEval-2019 Task 6: Offensive Tweet Classification with BERT and Ensembles
[S19-2123]: Alex Nikolov | Victor Radivchev

pdf bib NIT_Agartala_NLP_Team at SemEval-2019 Task 6: An Ensemble Approach to Identifying and Categorizing Offensive Language in Twitter Social Media Corpora
[S19-2124]: Steve Durairaj Swamy | Anupam Jamatia | Björn Gambäck | Amitava Das

pdf bib NLP@UIOWA at SemEval-2019 Task 6: Classifying the Crass using Multi-windowed CNNs
[S19-2125]: Jonathan Rusert | Padmini Srinivasan

pdf bib NLPR@SRPOL at SemEval-2019 Task 6 and Task 5: Linguistically enhanced deep learning offensive sentence classifier
[S19-2126]: Alessandro Seganti | Helena Sobol | Iryna Orlova | Hannam Kim | Jakub Staniszewski | Tymoteusz Krumholc | Krystian Koziel

pdf bib nlpUP at SemEval-2019 Task 6: A Deep Neural Language Model for Offensive Language Detection
[S19-2127]: Jelena Mitrović | Bastian Birkeneder | Michael Granitzer

pdf bib Pardeep at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Deep Learning
[S19-2128]: Pardeep Singh | Satish Chand

pdf bib SINAI at SemEval-2019 Task 6: Incorporating lexicon knowledge into SVM learning to identify and categorize offensive language in social media
[S19-2129]: Flor Miriam Plaza-del-Arco | M. Dolores Molina-González | Maite Martin | L. Alfonso Ureña-López

pdf bib SSN_NLP at SemEval-2019 Task 6: Offensive Language Identification in Social Media using Traditional and Deep Machine Learning Approaches
[S19-2130]: Thenmozhi D. | Senthil Kumar B. | Srinethe Sharavanan | Aravindan Chandrabose

pdf bib Stop PropagHate at SemEval-2019 Tasks 5 and 6: Are abusive language classification results reproducible?
[S19-2131]: Paula Fortuna | Juan Soler-Company | Sérgio Nunes

pdf bib TECHSSN at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks
[S19-2132]: Angel Suseelan | Rajalakshmi S | Logesh B | Harshini S | Geetika B | Dyaneswaran S | S Milton Rajendram | Mirnalinee T T

pdf bib The Titans at SemEval-2019 Task 6: Offensive Language Identification, Categorization and Target Identification
[S19-2133]: Avishek Garain | Arpan Basu

pdf bib TüKaSt at SemEval-2019 Task 6: Something Old, Something Neu(ral): Traditional and Neural Approaches to Offensive Text Classification
[S19-2134]: Madeeswaran Kannan | Lukas Stein

pdf bib TUVD team at SemEval-2019 Task 6: Offense Target Identification
[S19-2135]: Elena Shushkevich | John Cardiff | Paolo Rosso

pdf bib UBC-NLP at SemEval-2019 Task 6: Ensemble Learning of Offensive Content With Enhanced Training Data
[S19-2136]: Arun Rajendran | Chiyu Zhang | Muhammad Abdul-Mageed

pdf bib UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection
[S19-2137]: Gregor Wiedemann | Eugen Ruppert | Chris Biemann

pdf bib UM-IU@LING at SemEval-2019 Task 6: Identifying Offensive Tweets Using BERT and SVMs
[S19-2138]: Jian Zhu | Zuoyu Tian | Sandra Kübler

pdf bib USF at SemEval-2019 Task 6: Offensive Language Detection Using LSTM With Word Embeddings
[S19-2139]: Bharti Goel | Ravi Sharma

pdf bib UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense
[S19-2140]: Gustavo Henrique Paetzold

pdf bib UVA Wahoos at SemEval-2019 Task 6: Hate Speech Identification using Ensemble Machine Learning
[S19-2141]: Murugesan Ramakrishnan | Wlodek Zadrozny | Narges Tabari

pdf bib YNU-HPCC at SemEval-2019 Task 6: Identifying and Categorising Offensive Language on Twitter
[S19-2142]: Chengjin Zhou | Jin Wang | Xuejie Zhang

pdf bib YNUWB at SemEval-2019 Task 6: K-max pooling CNN with average meta-embedding for identifying offensive language
[S19-2143]: Bin Wang | Xiaobing Zhou | Xuejie Zhang

pdf bib Zeyad at SemEval-2019 Task 6: That’s Offensive! An All-Out Search For An Ensemble To Identify And Categorize Offense in Tweets.
[S19-2144]: Zeyad El-Zanaty

pdf bib SemEval-2019 Task 4: Hyperpartisan News Detection
[S19-2145]: Johannes Kiesel | Maria Mestre | Rishabh Shukla | Emmanuel Vincent | Payam Adineh | David Corney | Benno Stein | Martin Potthast

pdf bib Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network
[S19-2146]: Ye Jiang | Johann Petrak | Xingyi Song | Kalina Bontcheva | Diana Maynard

pdf bib SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours
[S19-2147]: Genevieve Gorrell | Ahmet Aker | Kalina Bontcheva | Leon Derczynski | Elena Kochkina | Maria Liakata | Arkaitz Zubiaga

pdf bib eventAI at SemEval-2019 Task 7: Rumor Detection on Social Media by Exploiting Content, User Credibility and Propagation Information
[S19-2148]: Quanzhi Li | Qiong Zhang | Luo Si

pdf bib SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
[S19-2149]: Tsvetomila Mihaylova | Georgi Karadzhov | Pepa Atanasova | Ramy Baly | Mitra Mohtarami | Preslav Nakov

pdf bib AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums
[S19-2150]: Zhengwei Lv | Duoxing Liu | Haifeng Sun | Xiao Liang | Tao Lei | Zhizhong Shi | Feng Zhu | Lei Yang

pdf bib SemEval-2019 Task 9: Suggestion Mining from Online Reviews and Forums
[S19-2151]: Sapna Negi | Tobias Daudert | Paul Buitelaar

pdf bib m_y at SemEval-2019 Task 9: Exploring BERT for Suggestion Mining
[S19-2152]: Masahiro Yamamoto | Toshiyuki Sekiya

pdf bib SemEval-2019 Task 10: Math Question Answering
[S19-2153]: Mark Hopkins | Ronan Le Bras | Cristian Petrescu-Prahova | Gabriel Stanovsky | Hannaneh Hajishirzi | Rik Koncel-Kedziorski

pdf bib AiFu at SemEval-2019 Task 10: A Symbolic and Sub-symbolic Integrated System for SAT Math Question Answering
[S19-2154]: Yifan Liu | Keyu Ding | Yi Zhou

pdf bib SemEval-2019 Task 12: Toponym Resolution in Scientific Papers
[S19-2155]: Davy Weissenbacher | Arjun Magge | Karen O’Connor | Matthew Scotch | Graciela Gonzalez-Hernandez

pdf bib DM_NLP at SemEval-2018 Task 12: A Pipeline System for Toponym Resolution
[S19-2156]: Xiaobin Wang | Chunping Ma | Huafei Zheng | Chu Liu | Pengjun Xie | Linlin Li | Luo Si

pdf bib Brenda Starr at SemEval-2019 Task 4: Hyperpartisan News Detection
[S19-2157]: Olga Papadopoulou | Giorgos Kordopatis-Zilos | Markos Zampoglou | Symeon Papadopoulos | Yiannis Kompatsiaris

pdf bib Cardiff University at SemEval-2019 Task 4: Linguistic Features for Hyperpartisan News Detection
[S19-2158]: Carla Pérez-Almendros | Luis Espinosa-Anke | Steven Schockaert

pdf bib Clark Kent at SemEval-2019 Task 4: Stylometric Insights into Hyperpartisan News Detection
[S19-2159]: Viresh Gupta | Baani Leen Kaur Jolly | Ramneek Kaur | Tanmoy Chakraborty

pdf bib Dick-Preston and Morbo at SemEval-2019 Task 4: Transfer Learning for Hyperpartisan News Detection
[S19-2160]: Tim Isbister | Fredrik Johansson

pdf bib Doris Martin at SemEval-2019 Task 4: Hyperpartisan News Detection with Generic Semi-supervised Features
[S19-2161]: Rodrigo Agerri

pdf bib Duluth at SemEval-2019 Task 4: The Pioquinto Manterola Hyperpartisan News Detector
[S19-2162]: Saptarshi Sengupta | Ted Pedersen

pdf bib Fermi at SemEval-2019 Task 4: The sarah-jane-smith Hyperpartisan News Detector
[S19-2163]: Nikhil Chakravartula | Vijayasaradhi Indurthi | Bakhtiyar Syed

pdf bib Harvey Mudd College at SemEval-2019 Task 4: The Carl Kolchak Hyperpartisan News Detector
[S19-2164]: Celena Chen | Celine Park | Jason Dwyer | Julie Medero

pdf bib Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector
[S19-2165]: Mehdi Drissi | Pedro Sandoval Segura | Vivaswat Ojha | Julie Medero

pdf bib Harvey Mudd College at SemEval-2019 Task 4: The D.X. Beaumont Hyperpartisan News Detector
[S19-2166]: Evan Amason | Jake Palanker | Mary Clare Shen | Julie Medero

pdf bib NLP@UIT at SemEval-2019 Task 4: The Paparazzo Hyperpartisan News Detector
[S19-2167]: Duc-Vu Nguyen | Thin Dang | Ngan Nguyen

pdf bib Orwellian-times at SemEval-2019 Task 4: A Stylistic and Content-based Classifier
[S19-2168]: Jürgen Knauth

pdf bib Rouletabille at SemEval-2019 Task 4: Neural Network Baseline for Identification of Hyperpartisan Publishers
[S19-2169]: Jose G. Moreno | Yoann Pitarch | Karen Pinel-Sauvagnat | Gilles Hubert

pdf bib Spider-Jerusalem at SemEval-2019 Task 4: Hyperpartisan News Detection
[S19-2170]: Amal Alabdulkarim | Tariq Alhindi

pdf bib Steve Martin at SemEval-2019 Task 4: Ensemble Learning Model for Detecting Hyperpartisan News
[S19-2171]: Youngjun Joo | Inchon Hwang

pdf bib TakeLab at SemEval-2019 Task 4: Hyperpartisan News Detection
[S19-2172]: Niko Palić | Juraj Vladika | Dominik Čubelić | Ivan Lovrenčić | Maja Buljan | Jan Šnajder

pdf bib Team Fernando-Pessa at SemEval-2019 Task 4: Back to Basics in Hyperpartisan News Detection
[S19-2173]: André Cruz | Gil Rocha | Rui Sousa-Silva | Henrique Lopes Cardoso

pdf bib Team Harry Friberg at SemEval-2019 Task 4: Identifying Hyperpartisan News through Editorially Defined Metatopics
[S19-2174]: Nazanin Afsarmanesh | Jussi Karlgren | Peter Sumbler | Nina Viereckel

pdf bib Team Howard Beale at SemEval-2019 Task 4: Hyperpartisan News Detection with BERT
[S19-2175]: Osman Mutlu | Ozan Arkan Can | Erenay Dayanik

pdf bib Team Jack Ryder at SemEval-2019 Task 4: Using BERT Representations for Detecting Hyperpartisan News
[S19-2176]: Daniel Shaprin | Giovanni Da San Martino | Alberto Barrón-Cedeño | Preslav Nakov

pdf bib Team Kermit-the-frog at SemEval-2019 Task 4: Bias Detection Through Sentiment Analysis and Simple Linguistic Features
[S19-2177]: Talita Anthonio | Lennart Kloppenburg

pdf bib Team Kit Kittredge at SemEval-2019 Task 4: LSTM Voting System
[S19-2178]: Rebekah Cramerus | Tatjana Scheffler

pdf bib Team Ned Leeds at SemEval-2019 Task 4: Exploring Language Indicators of Hyperpartisan Reporting
[S19-2179]: Bozhidar Stevanoski | Sonja Gievska

pdf bib Team Peter Brinkmann at SemEval-2019 Task 4: Detecting Biased News Articles Using Convolutional Neural Networks
[S19-2180]: Michael Färber | Agon Qurdina | Lule Ahmedi

pdf bib Team Peter-Parker at SemEval-2019 Task 4: BERT-Based Method in Hyperpartisan News Detection
[S19-2181]: Zhiyuan Ning | Yuanzhen Lin | Ruichao Zhong

pdf bib Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection
[S19-2182]: Abdelrhman Saleh | Ramy Baly | Alberto Barrón-Cedeño | Giovanni Da San Martino | Mitra Mohtarami | Preslav Nakov | James Glass

pdf bib Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks
[S19-2183]: Albin Zehe | Lena Hettinger | Stefan Ernst | Christian Hauptmann | Andreas Hotho

pdf bib Team yeon-zi at SemEval-2019 Task 4: Hyperpartisan News Detection by De-noising Weakly-labeled Data
[S19-2184]: Nayeon Lee | Zihan Liu | Pascale Fung

pdf bib The Sally Smedley Hyperpartisan News Detector at SemEval-2019 Task 4
[S19-2185]: Kazuaki Hanawa | Shota Sasaki | Hiroki Ouchi | Jun Suzuki | Kentaro Inui

pdf bib Tintin at SemEval-2019 Task 4: Detecting Hyperpartisan News Article with only Simple Tokens
[S19-2186]: Yves Bestgen

pdf bib Tom Jumbo-Grumbo at SemEval-2019 Task 4: Hyperpartisan News Detection with GloVe vectors and SVM
[S19-2187]: Chia-Lun Yeh | Babak Loni | Anne Schuth

pdf bib UBC-NLP at SemEval-2019 Task 4: Hyperpartisan News Detection With Attention-Based Bi-LSTMs
[S19-2188]: Chiyu Zhang | Arun Rajendran | Muhammad Abdul-Mageed

pdf bib Vernon-fenwick at SemEval-2019 Task 4: Hyperpartisan News Detection using Lexical and Semantic Features
[S19-2189]: Vertika Srivastava | Ankita Gupta | Divya Prakash | Sudeep Kumar Sahoo | Rohit R.R | Yeon Hyang Kim

pdf bib AndrejJan at SemEval-2019 Task 7: A Fusion Approach for Exploring the Key Factors pertaining to Rumour Analysis
[S19-2190]: Andrej Janchevski | Sonja Gievska

pdf bib BLCU_NLP at SemEval-2019 Task 7: An Inference Chain-based GPT Model for Rumour Evaluation
[S19-2191]: Ruoyao Yang | Wanying Xie | Chunhua Liu | Dong Yu

pdf bib BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers
[S19-2192]: Martin Fajcik | Pavel Smrz | Lukas Burget

pdf bib CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors
[S19-2193]: Ipek Baris | Lukas Schmelzeisen | Steffen Staab

pdf bib Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification
[S19-2194]: Zhuoran Liu | Shivali Goel | Mukund Yelahanka Raghuprasad | Smaranda Muresan

pdf bib GWU NLP at SemEval-2019 Task 7: Hybrid Pipeline for Rumour Veracity and Stance Classification on Social Media
[S19-2195]: Sardar Hamidian | Mona Diab

pdf bib SINAI-DL at SemEval-2019 Task 7: Data Augmentation and Temporal Expressions
[S19-2196]: Miguel A. García-Cumbreras | Salud María Jiménez-Zafra | Arturo Montejo-Ráez | Manuel Carlos Díaz-Galiano | Estela Saquete

pdf bib UPV-28-UNITO at SemEval-2019 Task 7: Exploiting Post’s Nesting and Syntax Information for Rumor Stance Classification
[S19-2197]: Bilal Ghanem | Alessandra Teresa Cignarella | Cristina Bosco | Paolo Rosso | Francisco Manuel Rangel Pardo

pdf bib BLCU_NLP at SemEval-2019 Task 8: A Contextual Knowledge-enhanced GPT Model for Fact Checking
[S19-2198]: Wanying Xie | Mengxi Que | Ruoyao Yang | Chunhua Liu | Dong Yu

pdf bib CodeForTheChange at SemEval-2019 Task 8: Skip-Thoughts for Fact Checking in Community Question Answering
[S19-2199]: Adithya Avvaru | Anupam Pandey

pdf bib ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning
[S19-2200]: Tuhin Chakrabarty | Smaranda Muresan

pdf bib DOMLIN at SemEval-2019 Task 8: Automated Fact Checking exploiting Ratings in Community Question Answering Forums
[S19-2201]: Dominik Stammbach | Stalin Varanasi | Guenter Neumann

pdf bib DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification
[S19-2202]: Anastasios Bairaktaris | Symeon Symeonidis | Avi Arampatzis

pdf bib Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums
[S19-2203]: Bakhtiyar Syed | Vijayasaradhi Indurthi | Manish Shrivastava | Manish Gupta | Vasudeva Varma

pdf bib SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums
[S19-2204]: Ankita Gupta | Sudeep Kumar Sahoo | Divya Prakash | Rohit R.R | Vertika Srivastava | Yeon Hyang Kim

pdf bib TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
[S19-2205]: Piotr Niewiński | Aleksander Wawer | Maria Pszona | Maria Janicka

pdf bib TueFact at SemEval 2019 Task 8: Fact checking in community question answering forums: context matters
[S19-2206]: Réka Juhász | Franziska Barbara Linnenschmidt | Teslin Roys

pdf bib YNU-HPCC at SemEval-2019 Task 8: Using A LSTM-Attention Model for Fact-Checking in Community Forums
[S19-2207]: Peng Liu | Jin Wang | Xuejie Zhang

pdf bib DBMS-KU at SemEval-2019 Task 9: Exploring Machine Learning Approaches in Classifying Text as Suggestion or Non-Suggestion
[S19-2208]: Tirana Fatyanosa | Al Hafiz Akbar Maulana Siagian | Masayoshi Aritsugi

pdf bib DS at SemEval-2019 Task 9: From Suggestion Mining with neural networks to adversarial cross-domain classification
[S19-2209]: Tobias Cabanski

pdf bib Hybrid RNN at SemEval-2019 Task 9: Blending Information Sources for Domain-Independent Suggestion Mining
[S19-2210]: Aysu Ezen-Can | Ethem F. Can

pdf bib INRIA at SemEval-2019 Task 9: Suggestion Mining Using SVM with Handcrafted Features
[S19-2211]: Ilia Markov | Eric Villemonte De la Clergerie

pdf bib Lijunyi at SemEval-2019 Task 9: An attention-based LSTM and ensemble of different models for suggestion mining from online reviews and forums
[S19-2212]: Junyi Li

pdf bib MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit
[S19-2213]: Sarthak Anand | Debanjan Mahata | Kartik Aggarwal | Laiba Mehnaz | Simra Shahid | Haimin Zhang | Yaman Kumar | Rajiv Shah | Karan Uppal

pdf bib NL-FIIT at SemEval-2019 Task 9: Neural Model Ensemble for Suggestion Mining
[S19-2214]: Samuel Pecar | Marian Simko | Maria Bielikova

pdf bib NTUA-ISLab at SemEval-2019 Task 9: Mining Suggestions in the wild
[S19-2215]: Rolandos Alexandros Potamias | Alexandros Neofytou | Gergios Siolas

pdf bib OleNet at SemEval-2019 Task 9: BERT based Multi-Perspective Models for Suggestion Mining
[S19-2216]: Jiaxiang Liu | Shuohuan Wang | Yu Sun

pdf bib SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data
[S19-2217]: Rajalakshmi S | Angel Suseelan | S Milton Rajendram | Mirnalinee T T

pdf bib Suggestion Miner at SemEval-2019 Task 9: Suggestion Detection in Online Forum using Word Graph
[S19-2218]: Usman Ahmed | Humera Liaquat | Luqman Ahmed | Syed Jawad Hussain

pdf bib Team Taurus at SemEval-2019 Task 9: Expert-informed pattern recognition for suggestion mining
[S19-2219]: Nelleke Oostdijk | Hans van Halteren

pdf bib ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples
[S19-2220]: Cheoneum Park | Juae Kim | Hyeon-gu Lee | Reinald Kim Amplayo | Harksoo Kim | Jungyun Seo | Changki Lee

pdf bib WUT at SemEval-2019 Task 9: Domain-Adversarial Neural Networks for Domain Adaptation in Suggestion Mining
[S19-2221]: Mateusz Klimaszewski | Piotr Andruszkiewicz

pdf bib Yimmon at SemEval-2019 Task 9: Suggestion Mining with Hybrid Augmented Approaches
[S19-2222]: Yimeng Zhuang

pdf bib YNU_DYX at SemEval-2019 Task 9: A Stacked BiLSTM for Suggestion Mining Classification
[S19-2223]: Yunxia Ding | Xiaobing Zhou | Xuejie Zhang

pdf bib YNU-HPCC at SemEval-2019 Task 9: Using a BERT and CNN-BiLSTM-GRU Model for Suggestion Mining
[S19-2224]: Ping Yue | Jin Wang | Xuejie Zhang

pdf bib Zoho at SemEval-2019 Task 9: Semi-supervised Domain Adaptation using Tri-training for Suggestion Mining
[S19-2225]: Sai Prasanna | Sri Ananda Seelan

pdf bib ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining
[S19-2226]: Qimin Zhou | Zhengxin Zhang | Hao Wu | Linmao Wang

pdf bib ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees
[S19-2227]: Xuefeng Luo | Alina Baranova | Jonas Biegert

pdf bib RGCL-WLV at SemEval-2019 Task 12: Toponym Detection
[S19-2228]: Alistair Plum | Tharindu Ranasinghe | Pablo Calleja | Constantin Orăsan | Ruslan Mitkov

pdf bib THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers
[S19-2229]: Tao Qi | Suyu Ge | Chuhan Wu | Yubo Chen | Yongfeng Huang

pdf bib UNH at SemEval-2019 Task 12: Toponym Resolution in Scientific Papers
[S19-2230]: Matthew Magnusson | Laura Dietz

pdf bib UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution
[S19-2231]: Haonan Li | Minghan Wang | Timothy Baldwin | Martin Tomko | Maria Vasardani

pdf bib University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities
[S19-2232]: Vikas Yadav | Egoitz Laparra | Ti-Tai Wang | Mihai Surdeanu | Steven Bethard