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Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)

S17-1 [bib]: Entire volume

S17-1000: Front Matter

S17-1001 [bib]: Gregory Finley; Stephanie Farmer; Serguei Pakhomov
What Analogies Reveal about Word Vectors and their Compositionality

S17-1002 [bib]: Sneha Rajana; Chris Callison-Burch; Marianna Apidianaki; Vered Shwartz
Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network

S17-1003 [bib]: Edoardo Maria Ponti; Ivan Vulić; Anna Korhonen
Decoding Sentiment from Distributed Representations of Sentences

S17-1004 [bib]: Yogarshi Vyas; Marine Carpuat
Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection

S17-1005 [bib]: Ao Chen; Maosong Sun
Domain-Specific New Words Detection in Chinese

S17-1006 [bib]: Waseem Gharbieh; Virendrakumar Bhavsar; Paul Cook
Deep Learning Models For Multiword Expression Identification

S17-1007 [bib]: Saif Mohammad; Felipe Bravo-Marquez
Emotion Intensities in Tweets

S17-1008 [bib]: Nabiha Asghar; Pascal Poupart; Xin Jiang; Hang Li
Deep Active Learning for Dialogue Generation

S17-1009 [bib]: Anne Cocos; Marianna Apidianaki; Chris Callison-Burch
Mapping the Paraphrase Database to WordNet

S17-1010 [bib]: Yukun Feng; Dong Yu; Jian Xu; Chunhua Liu
Semantic Frame Labeling with Target-based Neural Model

S17-1011 [bib]: Francis Ferraro; Adam Poliak; Ryan Cotterell; Benjamin Van Durme
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles

S17-1012 [bib]: Abhijeet Gupta; Gemma Boleda; Sebastian Padó
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible

S17-1013 [bib]: Angel Maredia; Kara Schechtman; Sarah Ita Levitan; Julia Hirschberg
Comparing Approaches for Automatic Question Identification

S17-1014 [bib] [poster]: Zoran Medić; Jan Šnajder; Sebastian Padó
Does Free Word Order Hurt? Assessing the Practical Lexical Function Model for Croatian

S17-1015 [bib]: Dai Quoc Nguyen; Dat Quoc Nguyen; Ashutosh Modi; Stefan Thater; Manfred Pinkal
A Mixture Model for Learning Multi-Sense Word Embeddings

S17-1016 [bib]: Simon Ostermann; Michael Roth; Stefan Thater; Manfred Pinkal
Aligning Script Events with Narrative Texts

S17-1017 [bib]: Anna Rogers; Aleksandr Drozd; Bofang Li
The (too Many) Problems of Analogical Reasoning with Word Vectors

S17-1018 [bib]: Ekaterina Shutova; Andreas Wundsam; Helen Yannakoudakis
Semantic Frames and Visual Scenes: Learning Semantic Role Inventories from Image and Video Descriptions

S17-1019 [bib]: Vered Shwartz; Gabriel Stanovsky; Ido Dagan
Acquiring Predicate Paraphrases from News Tweets

S17-1020 [bib]: Alon Talmor; Mor Geva; Jonathan Berant
Evaluating Semantic Parsing against a Simple Web-based Question Answering Model

S17-1021 [bib]: Emmanuele Chersoni; Alessandro Lenci; Philippe Blache
Logical Metonymy in a Distributional Model of Sentence Comprehension

S17-1022 [bib] [presentation]: Jena D. Hwang; Archna Bhatia; Na-Rae Han; Tim O'Gorman; Vivek Srikumar; Nathan Schneider
Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions

S17-1023 [bib]: Tibor Kiss; Francis Jeffry Pelletier; Halima Husic; Johanna Poppek
Issues of Mass and Count: Dealing with `Dual-Life' Nouns

S17-1024 [bib]: Sorcha Gilroy; Adam Lopez; Sebastian Maneth
Parsing Graphs with Regular Graph Grammars

S17-1025 [bib]: Sujay Kumar Jauhar; Eduard Hovy
Embedded Semantic Lexicon Induction with Joint Global and Local Optimization

S17-1026 [bib]: Kathrin Eichler; Feiyu Xu; Hans Uszkoreit; Sebastian Krause
Generating Pattern-Based Entailment Graphs for Relation Extraction

S17-1027 [bib]: Maria Becker; Michael Staniek; Vivi Nastase; Alexis Palmer; Anette Frank
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention

S17-1028 [bib]: Efsun Sarioglu Kayi; Mona Diab; Luca Pauselli; Michael Compton; Glen Coppersmith
Predictive Linguistic Features of Schizophrenia

S17-1029 [bib]: Mrinmaya Sachan; Eric Xing
Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks

S17-1030 [bib]: João António Rodrigues; Chakaveh Saedi; Vladislav Maraev; João Silva; António Branco
Ways of Asking and Replying in Duplicate Question Detection

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

S17-2 [bib]: Entire volume

S17-2000: Front Matter

S17-2001 [bib]: Daniel Cer; Mona Diab; Eneko Agirre; Inigo Lopez-Gazpio; Lucia Specia
SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

S17-2002 [bib]: Jose Camacho-Collados; Mohammad Taher Pilehvar; Nigel Collier; Roberto Navigli
SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity

S17-2003 [bib]: Preslav Nakov; Doris Hoogeveen; Lluís Màrquez; Alessandro Moschitti; Hamdy Mubarak; Timothy Baldwin; Karin Verspoor
SemEval-2017 Task 3: Community Question Answering

S17-2004 [bib]: Peter Potash; Alexey Romanov; Anna Rumshisky
SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor

S17-2005 [bib]: Tristan Miller; Christian Hempelmann; Iryna Gurevych
SemEval-2017 Task 7: Detection and Interpretation of English Puns

S17-2006 [bib]: Leon Derczynski; Kalina Bontcheva; Maria Liakata; Rob Procter; Geraldine Wong Sak Hoi; Arkaitz Zubiaga
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

S17-2007 [bib]: Hao Wu; Heyan Huang; Ping Jian; Yuhang Guo; Chao Su
BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity

S17-2008 [bib]: Robert Speer; Joanna Lowry-Duda
ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge

S17-2009 [bib]: Titas Nandi; Chris Biemann; Seid Muhie Yimam; Deepak Gupta; Sarah Kohail; Asif Ekbal; Pushpak Bhattacharyya
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification

S17-2010 [bib]: David Donahue; Alexey Romanov; Anna Rumshisky
HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition

S17-2011 [bib]: Samuel Doogan; Aniruddha Ghosh; Hanyang Chen; Tony Veale
Idiom Savant at Semeval-2017 Task 7: Detection and Interpretation of English Puns

S17-2012 [bib] [poster]: Jérémy Ferrero; Laurent Besacier; Didier Schwab; Frédéric Agnès
CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity

S17-2013 [bib]: Hussein T. Al-Natsheh; Lucie Martinet; Fabrice Muhlenbach; Djamel Abdelkader ZIGHED
UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise Features

S17-2014 [bib]: Nabin Maharjan; Rajendra Banjade; Dipesh Gautam; Lasang J. Tamang; Vasile Rus
DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output

S17-2015 [bib]: Basma Hassan; Samir AbdelRahman; Reem Bahgat; Ibrahim Farag
FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach

S17-2016 [bib]: Yang Shao
HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity

S17-2017 [bib]: El Moatez Billah NAGOUDI; Jérémy Ferrero; Didier Schwab
LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting

S17-2018 [bib]: Martyna Řpiewak; Piotr Sobecki; Daniel Karaś
OPI-JSA at SemEval-2017 Task 1: Application of Ensemble learning for computing semantic textual similarity

S17-2019 [bib]: Cristina España-Bonet; Alberto Barrón-Cedeño
Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity

S17-2020 [bib]: Fanqing Meng; Wenpeng Lu; Yuteng Zhang; Jinyong Cheng; Yuehan Du; Shuwang Han
QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings

S17-2021 [bib]: Johannes Bjerva; Robert Östling
ResSim at SemEval-2017 Task 1: Multilingual Word Representations for Semantic Textual Similarity

S17-2022 [bib]: Wenjie Liu; Chengjie Sun; Lei Lin; Bingquan Liu
ITNLP-AiKF at SemEval-2017 Task 1: Rich Features Based SVR for Semantic Textual Similarity Computing

S17-2023 [bib]: WenLi Zhuang; Ernie Chang
Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model

S17-2024 [bib]: Mirela-Stefania Duma; Wolfgang Menzel
SEF$@$UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector

S17-2025 [bib]: Sarah Kohail; Amr Rekaby Salama; Chris Biemann
STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble

S17-2026 [bib]: Joe Barrow; Denis Peskov
UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity

S17-2027 [bib]: John Henderson; Elizabeth Merkhofer; Laura Strickhart; Guido Zarrella
MITRE at SemEval-2017 Task 1: Simple Semantic Similarity

S17-2028 [bib]: Junfeng Tian; Zhiheng Zhou; Man Lan; Yuanbin Wu
ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity

S17-2029 [bib]: I-Ta Lee; Mahak Goindani; Chang Li; Di Jin; Kristen Marie Johnson; Xiao Zhang; Maria Leonor Pacheco; Dan Goldwasser
PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings

S17-2030 [bib]: Ergun Biçici
RTM at SemEval-2017 Task 1: Referential Translation Machines for Predicting Semantic Similarity

S17-2031 [bib]: Ignacio Arroyo-Fernández; Ivan Vladimir Meza Ruiz
LIPN-IIMAS at SemEval-2017 Task 1: Subword Embeddings, Attention Recurrent Neural Networks and Cross Word Alignment for Semantic Textual Similarity

S17-2032 [bib]: Pedro Fialho; Hugo Patinho Rodrigues; Luísa Coheur; Paulo Quaresma
L2F/INESC-ID at SemEval-2017 Tasks 1 and 2: Lexical and semantic features in word and textual similarity

S17-2033 [bib]: Junqing He; Long Wu; Xuemin Zhao; Yonghong Yan
HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity

S17-2034 [bib]: Pablo Gamallo
Citius at SemEval-2017 Task 2: Cross-Lingual Similarity from Comparable Corpora and Dependency-Based Contexts

S17-2035 [bib]: Josué Melka; Gilles Bernard
Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarity

S17-2036 [bib]: Fanqing Meng; Wenpeng Lu; Yuteng Zhang; Ping Jian; Shumin Shi; Heyan Huang
QLUT at SemEval-2017 Task 2: Word Similarity Based on Word Embedding and Knowledge Base

S17-2037 [bib]: Sergio Jimenez; George Dueñas; Lorena Gaitan; Jorge Segura
RUFINO at SemEval-2017 Task 2: Cross-lingual lexical similarity by extending PMI and word embeddings systems with a Swadesh's-like list

S17-2038 [bib]: Enrico Mensa; Daniele P. Radicioni; Antonio Lieto
MERALI at SemEval-2017 Task 2 Subtask 1: a Cognitively Inspired approach

S17-2039 [bib]: Behrang QasemiZadeh; Laura Kallmeyer
HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment

S17-2040 [bib]: Niloofar Ranjbar; Fatemeh Mashhadirajab; Mehrnoush Shamsfard; Rayeheh Hosseini pour; Aryan Vahid pour
Mahtab at SemEval-2017 Task 2: Combination of Corpus-based and Knowledge-based Methods to Measure Semantic Word Similarity

S17-2041 [bib]: Claudio Delli Bovi; Alessandro Raganato
Sew-Embed at SemEval-2017 Task 2: Language-Independent Concept Representations from a Semantically Enriched Wikipedia

S17-2042 [bib]: Răzvan-Gabriel Rotari; Ionut Hulub; Stefan Oprea; Mihaela Plamada-Onofrei; Alina Beatrice Lorent; Raluca Preisler; Adrian Iftene; Diana Trandabat
Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity

S17-2043 [bib]: Mohammed R. H. Qwaider; Abed Alhakim Freihat; Fausto Giunchiglia
TrentoTeam at SemEval-2017 Task 3: An application of Grice Maxims in Ranking Community Question Answers

S17-2044 [bib]: Yassine El Adlouni; Imane Lahbari; Horacio Rodriguez; Mohammed Meknassi; Said Ouatik El Alaoui; Noureddine Ennahnahi
UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic

S17-2045 [bib]: Wenzheng Feng; Yu Wu; Wei Wu; Zhoujun Li; Ming Zhou
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering

S17-2046 [bib]: Miguel J. Rodrigues; Francisco M Couto
MoRS at SemEval-2017 Task 3: Easy to use SVM in Ranking Tasks

S17-2047 [bib]: Yufei Xie; Maoquan Wang; Jing Ma; Jian Jiang; Zhao Lu
EICA Team at SemEval-2017 Task 3: Semantic and Metadata-based Features for Community Question Answering

S17-2048 [bib]: Giuseppe Attardi; Antonio Carta; Federico Errica; Andrea Madotto; Ludovica Pannitto
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering

S17-2049 [bib]: Le Qi; Yu Zhang; Ting Liu
SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity

S17-2050 [bib]: Naman Goyal
LearningToQuestion at SemEval 2017 Task 3: Ranking Similar Questions by Learning to Rank Using Rich Features

S17-2051 [bib]: Delphine Charlet; Geraldine Damnati
SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question Answering

S17-2052 [bib]: Sheng Zhang; Jiajun Cheng; Hui Wang; Xin Zhang; Pei Li; Zhaoyun Ding
FuRongWang at SemEval-2017 Task 3: Deep Neural Networks for Selecting Relevant Answers in Community Question Answering

S17-2053 [bib]: Simone Filice; Giovanni Da San Martino; Alessandro Moschitti
KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering

S17-2054 [bib]: Jan Milan Deriu; Mark Cieliebak
SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering

S17-2055 [bib]: Filip Šaina; Toni Kukurin; Lukrecija Puljić; Mladen Karan; Jan Šnajder
TakeLab-QA at SemEval-2017 Task 3: Classification Experiments for Answer Retrieval in Community QA

S17-2056 [bib]: Nada Almarwani; Mona Diab
GW_QA at SemEval-2017 Task 3: Question Answer Re-ranking on Arabic Fora

S17-2057 [bib]: Asma Ben Abacha; Dina Demner-Fushman
NLM_NIH at SemEval-2017 Task 3: from Question Entailment to Question Similarity for Community Question Answering

S17-2058 [bib]: Yuta Koreeda; Takuya Hashito; Yoshiki Niwa; Misa Sato; Toshihiko Yanase; Kenzo Kurotsuchi; Kohsuke Yanai
bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features

S17-2059 [bib]: Marwan Torki; Maram Hasanain; Tamer Elsayed
QU-BIGIR at SemEval 2017 Task 3: Using Similarity Features for Arabic Community Question Answering Forums

S17-2060 [bib]: Guoshun Wu; Yixuan Sheng; Man Lan; Yuanbin Wu
ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task

S17-2061 [bib]: Surya Agustian; Hiroya Takamura
UINSUSKA-TiTech at SemEval-2017 Task 3: Exploiting Word Importance Levels for Similarity Features for CQA

S17-2062 [bib]: Byron Galbraith; Bhanu Pratap; Daniel Shank
Talla at SemEval-2017 Task 3: Identifying Similar Questions Through Paraphrase Detection

S17-2063 [bib]: Xiwu Han; Gregory Toner
QUB at SemEval-2017 Task 6: Cascaded Imbalanced Classification for Humor Analysis in Twitter

S17-2064 [bib]: Xinru Yan; Ted Pedersen
Duluth at SemEval-2017 Task 6: Language Models in Humor Detection

S17-2065 [bib]: Christos Baziotis; Nikos Pelekis; Christos Doulkeridis
DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison

S17-2066 [bib]: Marin Kukovačec; Juraj Malenica; Ivan Mršić; Antonio Šajatović; Domagoj Alagić; Jan Šnajder
TakeLab at SemEval-2017 Task 6: #RankingHumorIn4Pages

S17-2067 [bib]: Andrew Cattle; Xiaojuan Ma
SRHR at SemEval-2017 Task 6: Word Associations for Humour Recognition

S17-2068 [bib]: Iuliana Alexandra Fleşcan-Lovin-Arseni; Ramona Andreea Turcu; Cristina Sirbu; Larisa Alexa; Sandra Maria Amarandei; Nichita Herciu; Constantin Scutaru; Diana Trandabat; Adrian Iftene
#WarTeam at SemEval-2017 Task 6: Using Neural Networks for Discovering Humorous Tweets

S17-2069 [bib]: Rutal Mahajan; Mukesh Zaveri
SVNIT $@$ SemEval 2017 Task-6: Learning a Sense of Humor Using Supervised Approach

S17-2070 [bib]: Ted Pedersen
Duluth at SemEval-2017 Task 7 : Puns Upon a Midnight Dreary, Lexical Semantics for the Weak and Weary

S17-2071 [bib]: Olga Vechtomova
UWaterloo at SemEval-2017 Task 7: Locating the Pun Using Syntactic Characteristics and Corpus-based Metrics

S17-2072 [bib]: Elena Mikhalkova; Yuri Karyakin
PunFields at SemEval-2017 Task 7: Employing Roget's Thesaurus in Automatic Pun Recognition and Interpretation

S17-2073 [bib]: Aniket Pramanick; Dipankar Das
JU CSE NLP $@$ SemEval 2017 Task 7: Employing Rules to Detect and Interpret English Puns

S17-2074 [bib]: Özge Sevgili; Nima Ghotbi; Selma Tekir
N-Hance at SemEval-2017 Task 7: A Computational Approach using Word Association for Puns

S17-2075 [bib]: Lluís-F. Hurtado; Encarna Segarra; Ferran Pla; Pascual Carrasco; José-Àngel González
ELiRF-UPV at SemEval-2017 Task 7: Pun Detection and Interpretation

S17-2076 [bib]: Dieke Oele; Kilian Evang
BuzzSaw at SemEval-2017 Task 7: Global vs. Local Context for Interpreting and Locating Homographic English Puns with Sense Embeddings

S17-2077 [bib]: Ankit Vadehra
UWAV at SemEval-2017 Task 7: Automated feature-based system for locating puns

S17-2078 [bib]: Yuhuan Xiu; Man Lan; Yuanbin Wu
ECNU at SemEval-2017 Task 7: Using Supervised and Unsupervised Methods to Detect and Locate English Puns

S17-2079 [bib]: Vijayasaradhi Indurthi; Subba Reddy Oota
Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language

S17-2080 [bib]: Hareesh Bahuleyan; Olga Vechtomova
UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features

S17-2081 [bib]: Yi-Chin Chen; Zhao-Yang Liu; Hung-Yu Kao
IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verification

S17-2082 [bib]: Omar Enayet; Samhaa R. El-Beltagy
NileTMRG at SemEval-2017 Task 8: Determining Rumour and Veracity Support for Rumours on Twitter.

S17-2083 [bib]:
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM

S17-2084 [bib]: Marianela García Lozano; Hanna Lilja; Edward Tjörnhammar; Maja Karasalo
Mama Edha at SemEval-2017 Task 8: Stance Classification with CNN and Rules

S17-2085 [bib]: Ankit Srivastava; Georg Rehm; Julian Moreno Schneider
DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading Heuristics

S17-2086 [bib]: Feixiang Wang; Man Lan; Yuanbin Wu
ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models

S17-2087 [bib]: Vikram Singh; Sunny Narayan; Md Shad Akhtar; Asif Ekbal; Pushpak Bhattacharyya
IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation

S17-2088 [bib]: Sara Rosenthal; Noura Farra; Preslav Nakov
SemEval-2017 Task 4: Sentiment Analysis in Twitter

S17-2089 [bib]: Keith Cortis; André Freitas; Tobias Daudert; Manuela Huerlimann; Manel Zarrouk; Siegfried Handschuh; Brian Davis
SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News

S17-2090 [bib]: Jonathan May; Jay Priyadarshi
SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation

S17-2091 [bib]: Isabelle Augenstein; Mrinal Das; Sebastian Riedel; Lakshmi Vikraman; Andrew McCallum
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

S17-2092 [bib]: Juliano Sales; Siegfried Handschuh; André Freitas
SemEval-2017 Task 11: End-User Development using Natural Language

S17-2093 [bib]: Steven Bethard; Guergana Savova; Martha Palmer; James Pustejovsky
SemEval-2017 Task 12: Clinical TempEval

S17-2094 [bib]: Mathieu Cliche
BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs

S17-2095 [bib]: Andrew Moore; Paul Rayson
Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines

S17-2096 [bib]: Gerasimos Lampouras; Andreas Vlachos
Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR.

S17-2097 [bib]: Waleed Ammar; Matthew Peters; Chandra Bhagavatula; Russell Power
The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction

S17-2098 [bib]: Julien Tourille; Olivier Ferret; Xavier Tannier; Aurélie Névéol
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives

S17-2099 [bib]: Ramy Baly; Gilbert Badaro; Ali Hamdi; Rawan Moukalled; Rita Aoun; Georges El-Khoury; Ahmad Al Sallab; Hazem Hajj; Nizar Habash; Khaled Shaban; Wassim El-Hajj
OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model

S17-2100 [bib]: Edilson Anselmo Corrêa Júnior; Vanessa Queiroz Marinho; Leandro Borges dos Santos
NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis

S17-2101 [bib]: Tzu-Hsuan Yang; Tzu-Hsuan Tseng; Chia-Ping Chen
deepSA at SemEval-2017 Task 4: Interpolated Deep Neural Networks for Sentiment Analysis in Twitter

S17-2102 [bib]: Yichun Yin; Yangqiu Song; Ming Zhang
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings

S17-2103 [bib]: Raj Kumar Gupta; Yinping Yang
CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification

S17-2104 [bib]: Salud María Jiménez-Zafra; Arturo Montejo-Ráez; Maite Martin; L. Alfonso Urena Lopez
SINAI at SemEval-2017 Task 4: User based classification

S17-2105 [bib]: Abeed Sarker; Graciela Gonzalez
HLP$@$UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors

S17-2106 [bib]: Enkhzol Dovdon; José Saias
ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter

S17-2107 [bib]: Raphael Troncy; Enrico Palumbo; Efstratios Sygkounas; Giuseppe Rizzo
SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification

S17-2108 [bib]: Alon Rozental; Daniel Fleischer
Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter

S17-2109 [bib]: Naveen Kumar Laskari; Suresh Kumar Sanampudi
TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier

S17-2110 [bib]: Hala Mulki; Hatem Haddad; Mourad Gridach; Ismail Babaoğlu
Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets

S17-2111 [bib]: Chukwuyem Onyibe; Nizar Habash
OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields

S17-2112 [bib]: Athanasia Kolovou; Filippos Kokkinos; Aris Fergadis; Pinelopi Papalampidi; Elias Iosif; Nikolaos Malandrakis; Elisavet Palogiannidi; Haris Papageorgiou; Shrikanth Narayanan; Alexandros Potamianos
Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter

S17-2113 [bib]: Nikolay Karpov
NRU-HSE at SemEval-2017 Task 4: Tweet Quantification Using Deep Learning Architecture

S17-2114 [bib]: Jingjing Zhao; Yan Yang; Bing Xu
MI&T Lab at SemEval-2017 task 4: An Integrated Training Method of Word Vector for Sentiment Classification

S17-2115 [bib]: Mohammed Jabreel; Antonio Moreno
SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features

S17-2116 [bib]: Hussam Hamdan
Senti17 at SemEval-2017 Task 4: Ten Convolutional Neural Network Voters for Tweet Polarity Classification

S17-2117 [bib]: Symeon Symeonidis; Dimitrios Effrosynidis; John Kordonis; Avi Arampatzis
DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis

S17-2118 [bib]: Angel Deborah S; S Milton Rajendram; T T Mirnalinee
SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier

S17-2119 [bib]: Ming Wang; Biao Chu; Qingxun Liu; Xiaobing Zhou
YNUDLG at SemEval-2017 Task 4: A GRU-SVM Model for Sentiment Classification and Quantification in Twitter

S17-2120 [bib]: Amal Htait; Sébastien Fournier; Patrice Bellot
LSIS at SemEval-2017 Task 4: Using Adapted Sentiment Similarity Seed Words For English and Arabic Tweet Polarity Classification

S17-2121 [bib]: José-Àngel González; Ferran Pla; Lluís-F. Hurtado
ELiRF-UPV at SemEval-2017 Task 4: Sentiment Analysis using Deep Learning

S17-2122 [bib]: Yazhou Hao; YangYang Lan; Yufei Li; Chen Li
XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter

S17-2123 [bib]: Joosung Yoon; Kigon Lyu; Hyeoncheol Kim
Adullam at SemEval-2017 Task 4: Sentiment Analyzer Using Lexicon Integrated Convolutional Neural Networks with Attention

S17-2124 [bib]: wang maoquan; Chen Shiyun; Xie yufei; Zhao lu
EICA at SemEval-2017 Task 4: A Simple Convolutional Neural Network for Topic-based Sentiment Classification

S17-2125 [bib]: Quanzhi Li; Armineh Nourbakhsh; Xiaomo Liu; Rui Fang; Sameena Shah
funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts

S17-2126 [bib]: Christos Baziotis; Nikos Pelekis; Christos Doulkeridis
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis

S17-2127 [bib]: Georgios Balikas
TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification

S17-2128 [bib]: Mickael Rouvier
LIA at SemEval-2017 Task 4: An Ensemble of Neural Networks for Sentiment Classification

S17-2129 [bib]: Simon Müller; Tobias Huonder; Jan Deriu; Mark Cieliebak
TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision

S17-2130 [bib]: Sabino Miranda-Jiménez; Mario Graff; Eric Sadit Tellez; Daniela Moctezuma
INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis

S17-2131 [bib]: Deger Ayata; Murat Saraclar; Arzucan Ozgur
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches

S17-2132 [bib]: David Lozić; Doria Šarić; Ivan Tokić; Zoran Medić; Jan Šnajder
TakeLab at SemEval-2017 Task 4: Recent Deaths and the Power of Nostalgia in Sentiment Analysis in Twitter

S17-2133 [bib]: Samhaa R. El-Beltagy; Mona El kalamawy; Abu Bakr Soliman
NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis

S17-2134 [bib]: Haowei Zhang; Jin Wang; Jixian Zhang; Xuejie Zhang
YNU-HPCC at SemEval 2017 Task 4: Using A Multi-Channel CNN-LSTM Model for Sentiment Classification

S17-2135 [bib]: Amit Ajit Deshmane; Jasper Friedrichs
TSA-INF at SemEval-2017 Task 4: An Ensemble of Deep Learning Architectures Including Lexicon Features for Twitter Sentiment Analysis

S17-2136 [bib]: José Abreu; Iván Castro; Claudia Martínez; Sebastián Oliva; Yoan Gutiérrez
UCSC-NLP at SemEval-2017 Task 4: Sense n-grams for Sentiment Analysis in Twitter

S17-2137 [bib]: Yunxiao Zhou; Man Lan; Yuanbin Wu
ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification

S17-2138 [bib] [poster]: Youness Mansar; Lorenzo Gatti; Sira Ferradans; Marco Guerini; Jacopo Staiano
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines

S17-2139 [bib]: Angel Deborah S; S Milton Rajendram; T T Mirnalinee
SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model

S17-2140 [bib]: Zarmeen Nasim
IBA-Sys at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News

S17-2141 [bib]: Tobias Cabanski; Julia Romberg; Stefan Conrad
HHU at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Data using Machine Learning Methods

S17-2142 [bib]: Tiago Zini; Karin Becker; Marcelo Dias
INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines

S17-2143 [bib]: Lidia Pivovarova; Llorenç Escoter; Arto Klami; Roman Yangarber
HCS at SemEval-2017 Task 5: Polarity detection in business news using convolutional neural networks

S17-2144 [bib]: Chung-Chi Chen; Hen-Hsen Huang; Hsin-Hsi Chen
NLG301 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News

S17-2145 [bib]: Quanzhi Li; Sameena Shah; Armineh Nourbakhsh; Rui Fang; Xiaomo Liu
funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter

S17-2146 [bib]: Narges Tabari; Armin Seyeditabari; Wlodek Zadrozny
SentiHeros at SemEval-2017 Task 5: An application of Sentiment Analysis on Financial Tweets

S17-2147 [bib]: Symeon Symeonidis; John Kordonis; Dimitrios Effrosynidis; Avi Arampatzis
DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles

S17-2148 [bib]: Leon Rotim; Martin Tutek; Jan Šnajder
TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news

S17-2149 [bib]: Vineet John; Olga Vechtomova
UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation

S17-2150 [bib]: Sudipta Kar; Suraj Maharjan; Thamar Solorio
RiTUAL-UH at SemEval-2017 Task 5: Sentiment Analysis on Financial Data Using Neural Networks

S17-2151 [bib]: Kim Schouten; Flavius Frasincar; Franciska de Jong
COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines

S17-2152 [bib]: Mengxiao Jiang; Man Lan; Yuanbin Wu
ECNU at SemEval-2017 Task 5: An Ensemble of Regression Algorithms with Effective Features for Fine-Grained Sentiment Analysis in Financial Domain

S17-2153 [bib]: Abhishek Kumar; Abhishek Sethi; Md Shad Akhtar; Asif Ekbal; Chris Biemann; Pushpak Bhattacharyya
IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text

S17-2154 [bib]: Deepanway Ghosal; Shobhit Bhatnagar; Md Shad Akhtar; Asif Ekbal; Pushpak Bhattacharyya
IITP at SemEval-2017 Task 5: An Ensemble of Deep Learning and Feature Based Models for Financial Sentiment Analysis

S17-2155 [bib]: Pedro Saleiro; Eduarda Mendes Rodrigues; Carlos Soares; Eugénio Oliveira
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings

S17-2156 [bib]: Khoa Nguyen; Dang Nguyen
UIT-DANGNT-CLNLP at SemEval-2017 Task 9: Building Scientific Concept Fixing Patterns for Improving CAMR

S17-2157 [bib]: Jan Buys; Phil Blunsom
Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention

S17-2158 [bib]: Simon Mille; Roberto Carlini; Alicia Burga; Leo Wanner
FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers

S17-2159 [bib]: Normunds Gruzitis; Didzis Gosko; Guntis Barzdins
RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation

S17-2160 [bib]: Rik van Noord; Johan Bos
The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing

S17-2161 [bib]: Liang Wang; Sujian Li
PKU_ICL at SemEval-2017 Task 10: Keyphrase Extraction with Model Ensemble and External Knowledge

S17-2162 [bib]: Erwin Marsi; Utpal Kumar Sikdar; Cristina Marco; Biswanath Barik; Rune Sætre
NTNU-1$@$ScienceIE at SemEval-2017 Task 10: Identifying and Labelling Keyphrases with Conditional Random Fields

S17-2163 [bib]: Steffen Eger; Erik-Lân Do Dinh; Ilia Kuznetsov; Masoud Kiaeeha; Iryna Gurevych
EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION

S17-2164 [bib]: Isabel Segura-Bedmar; Cristóbal Colón-Ruiz; Paloma Martínez
LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network

S17-2165 [bib]: Lung-Hao Lee; Kuei-Ching Lee; Yuen-Hsien Tseng
The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields

S17-2166 [bib]: Sijia Liu; Feichen Shen; Vipin Chaudhary; Hongfang Liu
MayoNLP at SemEval 2017 Task 10: Word Embedding Distance Pattern for Keyphrase Classification in Scientific Publications

S17-2167 [bib]: Roman Kern; Stefan Falk; Andi Rexha
Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator

S17-2168 [bib]: Biswanath Barik; Erwin Marsi
NTNU-2 at SemEval-2017 Task 10: Identifying Synonym and Hyponym Relations among Keyphrases in Scientific Documents

S17-2169 [bib]: Víctor Suárez-Paniagua; Isabel Segura-Bedmar; Paloma Martínez
LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network

S17-2170 [bib]: Animesh Prasad; Min-Yen Kan
WING-NUS at SemEval-2017 Task 10: Keyphrase Extraction and Classification as Joint Sequence Labeling

S17-2171 [bib]: Ji Young Lee; Franck Dernoncourt; Peter Szolovits
MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks

S17-2172 [bib]: Tomoki Tsujimura; Makoto Miwa; Yutaka Sasaki
TTI-COIN at SemEval-2017 Task 10: Investigating Embeddings for End-to-End Relation Extraction from Scientific Papers

S17-2173 [bib]: Gábor Berend
SZTE-NLP at SemEval-2017 Task 10: A High Precision Sequence Model for Keyphrase Extraction Utilizing Sparse Coding for Feature Generation

S17-2174 [bib]: Simon David Hernandez; Davide Buscaldi; Thierry Charnois
LIPN at SemEval-2017 Task 10: Filtering Candidate Keyphrases from Scientific Publications with Part-of-Speech Tag Sequences to Train a Sequence Labeling Model

S17-2175 [bib]: Marek Kubis; Paweł Skórzewski; Tomasz Ziėtkiewicz
EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development

S17-2176 [bib]: Sarath P R; Manikandan R; Yoshiki Niwa
Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes

S17-2177 [bib]: Po-Yu Huang; Hen-Hsen Huang; Yu-Wun Wang; Ching Huang; Hsin-Hsi Chen
NTU-1 at SemEval-2017 Task 12: Detection and classification of temporal events in clinical data with domain adaptation

S17-2178 [revisions: v2] [bib]: Yu Long; Zhijing Li; Xuan Wang; Chen Li
XJNLP at SemEval-2017 Task 12: Clinical temporal information ex-traction with a Hybrid Model

S17-2179 [bib]: Andre Lamurias; Diana Sousa; Sofia Pereira; Luka Clarke; Francisco M Couto
ULISBOA at SemEval-2017 Task 12: Extraction and classification of temporal expressions and events

S17-2180 [bib]: Sean MacAvaney; Arman Cohan; Nazli Goharian
GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction

S17-2181 [bib]: Artuur Leeuwenberg; Marie-Francine Moens
KULeuven-LIIR at SemEval-2017 Task 12: Cross-Domain Temporal Information Extraction from Clinical Records