Workshop Organizers

• Alan Ritter (Ohio State University)
• Wei Xu (Ohio State University)
• Tim Baldwin (University of Melbourne)
• Afshin Rahimi (University of Melbourne)

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Invited Speakers

• Isabelle Augenstein (University of Copenhagen)
• Jing Jiang (Singapore Management University)

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Program

Monday, November, 4, 2019
9:00 - 9:05    Opening
9:05 - 9:50    Invited Talk: Isabelle Augenstein -- Tracking False Information Online Digital media enables fast sharing of information and discussions among users. While this comes with many benefits to today’s society, such as broadening information access, the manner in which information is disseminated also has obvious downsides. Since fast access to information is expected by many users and news outlets are often under financial pressure, speedy access often comes at the expense of accuracy, which leads to misinformation. Moreover, digital media can be misused by campaigns to intentionally spread false information, i.e. disinformation, about events, individuals or governments. In this talk, I will present on different ways false information is spread online, including misinformation and disinformation. I will then report findings from our recent and ongoing work on automatic fact checking, stance detection and framing attitudes.
9:50 - 10:35    Oral Session I
9:50 - 10:05    Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health Giannis Karamanolakis, Daniel Hsu, Luis Gravano Columbia University
10:05 - 10:20    Formality Style Transfer for Noisy, User-generated Conversations: Extracting Labeled, Parallel Data from Unlabeled Corpora Isak Czeresnia Etinger and Alan W Black Carnegie Mellon University
10:20 - 10:35    Multilingual Whispers: Generating Paraphrases with Translation Christian Federmann1, Oussama Elachqar2, Chris Quirk2 1Microsoft, 2Microsoft Research AI
10:35 - 11:00    Coffee Break
11:00 - 12:30    Oral Session II
11:00 - 11:15    Exploiting BERT for End-to-End Aspect-based Sentiment Analysis Xin Li1, Lidong Bing2, Wenxuan Zhang3, Wai Lam3 1Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, 2Alibaba DAMO Academy, 3The Chinese University of Hong Kong
11:15 - 11:30    Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation vladimir karpukhin1, Omer Levy2, Jacob Eisenstein3, Marjan Ghazvininejad2 1Facebook Artificial Intelligence Research, 2Facebook AI Research, 3Georgia Institute of Technology
11:30 - 11:45    Character-Based Models for Adversarial Phone Extraction: Preventing Human Sex Trafficking Nathanael Chambers, Timothy Forman, Catherine Griswold, Kevin Lu, Yogaish Khastgir, Stephen Steckler US Naval Academy
11:45 - 12:00    Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1 Maria Nadejde1 and Joel Tetreault2 1Grammarly Inc, 2Grammarly
12:00 - 12:15    Tkol, Httt, and r/radiohead: High Affinity Terms in Reddit Communities Abhinav Bhandari and Caitrin Armstrong McGill University
12:15 - 2:00    Lunch
2:00 - 3:00    Lightning Talks
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning Daniele Bonadiman2, Anjishnu Kumar1, Arpit Mittal3 1Amazon Alexa, 2University of Trento, 3Amazon
Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers Hanh Nguyen and Dirk Hovy Bocconi University
Predicting Algorithm Classes for Programming Word Problems vinayak athavale1, aayush naik2, rajas vanjape3, Manish Shrivastava4 1International Institute of Information Technology, Hyderabad, 2independent, 3iiit hyd, 4International Institute of Information Technology Hyderabad
Automatic identification of writers’ intentions: Comparing different methods for predicting relationship goals in online dating profile texts Chris van der Lee, Tess van der Zanden, Emiel Krahmer, Maria Mos, Alexander Schouten Tilburg University
Contextualized Word Representations from Distant Supervision with and for NER Abbas Ghaddar and Phillippe Langlais Université de Montréal
Extract, Transform and Filling: A Pipeline Model for Question Paraphrasing based on Template Yunfan Gu1, yang yuqiao2, Zhongyu Wei2 1Fudan University, 2School of Data Science, Fudan University
An In-depth Analysis of the Effect of Lexical Normalization on the Dependency Parsing of Social Media Rob van der Goot University of Groningen
Who wrote this book? A challenge for e-commerce Béranger Dumont, Simona Maggio, Ghiles Sidi Said, Quoc-Tien Au Rakuten Institute of Technology
Mining Tweets that refer to TV programs with Deep Neural Networks Takeshi Kobayakawa, Taro Miyazaki, Hiroki Okamoto, Simon Clippingdale NHK
Normalising Non-standardised Orthography in Algerian Code-switched User-generated Data Wafia Adouane1, Jean-Philippe Bernardy2, Simon Dobnik2 1Department of Philosophy, Linguistics and Theory of Science- Gothenburg University, 2University of Gothenburg
Dialect Text Normalization to Normative Standard Finnish Niko Partanen, Mika Hämäläinen, Khalid Alnajjar University of Helsinki
A Cross-Topic Method for Supervised Relevance Classification Jiawei Yong RICOH COMPANY,LTD
Exploring Multilingual Syntactic Sentence Representations Chen Liu, Anderson De Andrade, Muhammad Osama Wattpad
FASPell: A Fast, Adaptable, Simple, Powerful Chinese Spell Checker Based On DAE-Decoder Paradigm Yuzhong Hong, Xianguo Yu, Neng He, Nan Liu, Junhui Liu iQIYI, Inc.
Latent semantic network induction in the context of linked example senses Hunter Heidenreich and Jake Williams Drexel University
SmokEng: Towards Fine-grained Classification of Tobacco-related Social Media Text Kartikey Pant1, Venkata Himakar Yanamandra2, Alok Debnath3, Radhika Mamidi2 1IIIT, Hyderabad, 2IIIT Hyderabad, 3International Institute of Information Technology: Hyderabad
Modelling Uncertainty in Collaborative Document Quality Assessment Aili Shen1, Daniel Beck2, Bahar Salehi1, Jianzhong Qi2, Timothy Baldwin1 1The University of Melbourne, 2University of Melbourne
Conceptualisation and Annotation of Drug Nonadherence Information for Knowledge Extraction from Patient-Generated Texts Anja Belz1, Richard Hoile2, Elizabeth Ford3, Azam Mullick1 1University of Brighton, 2Sussex Partnership NHS Foundation Trust, 3Brighton and Sussex Medical School
What A Sunny Day ☂️: Toward Emoji-Sensitive Irony Detection Shirley Anugrah Hayati, Aditi Chaudhary, Naoki Otani, Alan W Black Carnegie Mellon University
Geolocation with Attention-Based Multitask Learning Models Tommaso Fornaciari and Dirk Hovy Bocconi University
Dense Node Representation for Geolocation Tommaso Fornaciari and Dirk Hovy Bocconi University
Identifying Linguistic Areas for Geolocation Tommaso Fornaciari and Dirk Hovy Bocconi University
Robustness to Capitalization Errors in Named Entity Recognition Sravan Bodapati1, Hyokun Yun1, Yaser Al-Onaizan2 1Amazon, 2IBM T.J. Watson Research Center
Extending Event Detection to New Types with Learning from Keywords Viet Dac Lai and Thien Nguyen University of Oregon
Distant Supervised Relation Extraction with Separate Head-Tail CNN Rui Xing and Jie Luo Beihang University
Discovering the Functions of Language in Online Forums Youmna Ismaeil, Oana Balalau, Paramita Mirza Max Planck Institute for Informatics
Incremental processing of noisy user utterances in the spoken language understanding task Stefan Constantin1, Jan Niehues2, Alex Waibel1 1Karlsruhe Institute of Technology, 2Maastricht University
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content Claudia Matos Veliz1, Orphee De Clercq2, Veronique Hoste1 1Ghent University, 2LT3, Language and Translation Technology Team, Ghent University
Contextual Text Denoising with Masked Language Model Yifu Sun1 and Haoming Jiang2 1Tencent, 2Georgia Institute of Technology
Towards Automated Semantic Role Labelling of Hindi-English Code-Mixed Tweets Riya Pal1 and Dipti Sharma2 1International Institute of Information Technology, Hyderabad, 2IIIT, Hyderabad
Enhancing BERT for Lexical Normalization Benjamin Muller1, Benoit Sagot1, Djamé Seddah2 1INRIA, 2Université Paris Sorbonne (Paris IV)
No, you’re not alone: A better way to find people with similar experiences on Reddit Zhilin Wang, Elena Rastorgueva, Weizhe Lin, Xiaodong Wu University of Cambridge
Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge Wenhao Ying1, Rong Xiang1, Qin Lu2 1The Hong Kong Polytechnic University, 2The Hong Kong Polytechnic Univeristy
Adapting Deep Learning Methods for Mental Health Prediction on Social Media Ivan Sekulic and Michael Strube Heidelberg Institute for Theoretical Studies
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-Translation Zhenhao Li and Lucia Specia Imperial College London
An Ensemble of Humour, Sarcasm, and Hate Speechfor Sentiment Classification in Online Reviews Rohan Badlani, Nishit Asnani, Manan Rai Stanford University
Grammatical Error Correction in Low-Resource Scenarios Jakub Náplava1 and Milan Straka2 1Charles University, Institute of Formal and Applied Linguistics, 2Charles University
Minimally-Augmented Grammatical Error Correction Roman Grundkiewicz1 and Marcin Junczys-Dowmunt2 1School of Informatics, University of Edinburgh, 2Microsoft
A Social Opinion Gold Standard for the Malta Government Budget 2018 Keith Cortis and Brian Davis Maynooth University
The Fallacy of Echo Chambers: Analyzing the Political Slants of User-Generated News Comments in Korean Media Jiyoung Han1, Youngin Lee1, Junbum Lee2, Meeyoung Cha3 1Korea Advanced Institute of Science and Technology (KAIST), 2Seoul National Univ. of Education, 3Institute for Basic Science (IBS)
Y’all should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts Gabriel Stanovsky1 and Ronen Tamari2 1University of Washington, Allen Institute for Artificial Intelligence, 2Hebrew University of Jerusalem
An Edit-centric Approach for Wikipedia Article Quality Assessment Edison Marrese-Taylor1, Pablo Loyola2, Yutaka Matsuo3 1The University of Tokyo, 2IBM Research, 3University of Tokyo
Additive Compositionality of Word Vectors Yeon Seonwoo1, Sungjoon Park2, Dongkwan Kim3, Alice Oh3 1KAIST, Korea Advanced Institute of Science and Technology, 2Korea Advanced Institute of Science and Technology, 3KAIST
Contextualized context2vec Kazuki Ashihara1, Tomoyuki Kajiwara1, Yuki Arase1, Satoru Uchida2 1Osaka University, 2Kyushu University
Phonetic Normalization for Machine Translation of User Generated Content José Carlos Rosales Núñez1, Djamé Seddah2, Guillaume Wisniewski3 1LIMSI-CNRS / Inria Paris, 2Université Paris Sorbonne (Paris IV), 3Université Paris Sud and LIMSI
Normalization of Indonesian-English Code-Mixed Twitter Data Anab Maulana Barik, Rahmad Mahendra, Mirna Adriani Universitas Indonesia
Unsupervised Neologism Normalization Using Embedding Space Mapping Nasser Zalmout1, Kapil Thadani2, Aasish Pappu3 1NYU Abu Dhabi, 2Yahoo Research, 3Spotify Research
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power Jekaterina Novikova1, Aparna Balagopalan2, Ksenia Shkaruta3, Frank Rudzicz2 1Heriot Watt University, 2University of Toronto, 3Georgia Tech
Simple Discovery of Aliases from User Comments [1-page abstract] Abram Handler1 and Brian Clifton2 1University of Massachusetts Amherst, 2BuzzFeed
Towards Actual (Not Operational) Textual Style Transfer Auto-Evaluation [1-page abstract] Richard Yuanzhe Pang New York University
CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums [1-page abstract] Ella Rabinovich, Masih Sultani, Suzanne Stevenson University of Toronto
3:00 - 4:30    Poster Session (all papers above)
4:30 - 4:55    Coffee Break
5:00 - 5:45    Invited Talk: Jing Jiang -- Multimodal Sentiment Analysis from User-Generated Content In recent years we have observed that multimedia user-generated content is almost dominating social media on platforms such as Facebook, Instagram, Twitter and Snapchat. The analysis of noisy user-generated content now has to take into consideration of not only text but also other modalities of data such as images and videos. In this talk, I will share some recent progress we have made on entity-level multimodal sentiment classification. I will present two pieces of work we have done and also discuss some future directions in the end.
5:45 - 6:00    Closing and Best Paper Awards

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Important Dates

• Submission Deadline: Monday, August 19 Wednesday, August 21 (anywhere on earth)
• Reviews Due: Monday, September 9
• Acceptance Notification: Monday, September 16
• Camera-Ready: Monday, September 30
• Workshop day: November 4

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Call for Papers

We seek submissions of long and short papers on original and unpublished work (same page limit EMNLP main conference). 1-page abstracts on work-in-progress or work published elsewhere are also welcome and will *not* be included in the conference proceedings. All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally.

Topics of interest include but are not limited to:

• NLP Preprocessing of Noisy Text
• Part of speech tagging
• Named entity tagging, including a wide range of categories, e.g. product names
• Chunking of user-generated text
• Parsing
• Text Normalization and Error Correction
• Normalizing noisy text for downstream tasks and for human readability
• Error detection and correction
• Robustness to Noise, both Natural and Adversarial
• Multilingual NLP in noisy text
• Machine Translation of Noisy Text
• Sentiment analysis
• Crowdsourcing of text data
• User prediction, e.g. gender, age, etc
• Stylistics, e.g. formality, politeness, etc
• Colloquial language, e.g. code-switching, idiom detection
• Bilingual translation of the noisy text
• Paraphrase identification and semantic similarity of short text or noisy text
• Information extraction from noisy text
• Domain adaptation to user-generated text
• Geolocation prediction
• Global and regional trend detection and event extraction
• Detecting rumors, contradictory information, sarcasm and humor on social media
• Extracting user demographics, profiles, and major life events
• Temporal aspects of user-generated content (resolving time expressions, concept drift, diachronic analyses, etc...)

All submissions should conform to EMNLP 2018 style guidelines. Long and short paper submissions must be anonymized. Abstract submissions should include author information (and where the work was published in a footnote on the front page, if applicable). Please submit your papers at the SoftConf link.

Double Submission Policy: Papers that have been or will be submitted to other meetings or publications must indicate at submission time. Authors of a paper accepted for presentation must notify the workshop organizers by the camera-ready deadline as to whether the paper will be presented or withdrawn. (Exception: 1-page abstracts can be work-in-progress or work published elsewhere.)

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Program Committee

• Mostafa Abdou (University of Copenhagen)
• Muhammad Abdul-Mageed (University of British Columbia)
• Željko Agić (Corti)
• Gustavo Aguilar (University of Houston)
• Hadi Amiri (Harvard University)
• Rahul Aralikatte (University of Copenhagen)
• Eiji Aramaki (NAIST)
• Roy Bar-Haim (IBM)
• Francesco Barbieri (UPF Barcelona)
• Cosmin Bejan (Vanderbilt University)
• Eric Bell (PNNL)
• Adrian Benton (JHU)
• Eduardo Blanco (University of North Texas)
• Su Lin Blodgett (UMass Amherst)
• Matko Bošnjak (University College London)
• Julian Brooke (University of British Columbia)
• Annabelle Carrell (JHU)
• Xilun Chen (Cornell University)
• Anne Cocos (University of Pennsylvania)
• Arman Cohan (AI2)
• Nigel Collier (University of Cambridge)
• Paul Cook (University of New Brunswick)
• Marina Danilevsky (IBM Research)
• Leon Derczynski (IT University of Copenhagen)
• Seza Doğruöz (Tilburg University)
• Jay DeYoung (Northeastern University)
• Eduard Dragut (Temple University)
• Xinya Du (Cornell University)
• Heba Elfardy (Amazon)
• Micha Elsner (Ohio State University)
• Sindhu Kiranmai Ernala (Georgia Tech)
• Manaal Faruqui (Google Research)
• Lisheng Fu (New York University)
• Yoshinari Fujinuma (University of Colorado, Boulder)
• Dan Garrette (Google Research)
• Kevin Gimpel (TTIC)
• Dan Goldwasser (Purdue University)
• Amit Goyal (Criteo)
• Nizar Habash (NYU Abu Dhabi)
• Masato Hagiwara (Duolingo)
• Bo Han (Kaplan)
• Abe Handler (University of Massachusetts Amherst)
• Shudong Hao (University of Colorado, Boulder)
• Devamanyu Hazarika (National University of Singapore)
• Jack Hessel (Cornell University)
• Dirk Hovy (Bocconi University)
• Xiaolei Huang (University of Colorado, Boulder)
• Sarthak Jain (Northeastern University)
• Kenny Joseph (University at Buffalo)
• David Jurgens (University of Michigan)
• Nobuhiro Kaji (Yahoo! Research)
• Pallika Kanani (Oracle)
• Dongyeop Kang (Carnegie Mellon University)
• Emre Kiciman (Microsoft Research)
• Svetlana Kiritchenko (National Research Council Canada)
• Roman Klinger (University of Stuttgart)
• Ekaterina Kochmar (University of Cambridge)
• Vivek Kulkarni (University of California Santa Barbara)
• Jonathan Kummerfeld (University of Michigan)
• Ophélie Lacroix (Siteimprove)
• Wuwei Lan (Ohio State University)
• Chen Li (Tencent)
• Jing Li (Tencent AI)
• Jessy Junyi Li (University of Texas Austin)
• Yitong Li (University of Melbourne)
• Nut Limsopatham (University of Glasgow)
• Patrick Littell (National Research Council Canada)
• Zhiyuan Liu (Tsinghua University)
• Fei Liu (University of Melbourne)
• Nikola Ljubešić (University of Zagreb)
• Wei-Yun Ma (Academia Sinica)
• Mounica Maddela (Ohio State University)
• Suraj Maharjan (University of Houston)
• Aaron Masino (The Children's Hospital of Philadelphia)
• Paul Michel (CMU)
• Shachar Mirkin (Xerox Research)
• Saif M. Mohammad (National Research Council Canada)
• Ahmed Mourad (RMIT University)
• Günter Neumann (DFKI)
• Vincent Ng (University of Texas at Dallas)
• Eric Nichols (Honda Research Institute)
• Xing Niu (University of Maryland, College Park)
• Benjamin Nye (Northeastern University)
• Alice Oh (KAIST)
• Naoki Otani (CMU)
• Patrick Pantel (Microsoft Research)
• Umashanthi Pavalanathan (Georgia Tech)
• Yuval Pinter (Georgia Tech)
• Barbara Plank (IT University of Copenhagen)
• Christopher Potts (Stanford University)
• Daniel Preoţiuc-Pietro (Bloomberg)
• Chris Quirk (Microsoft Research)
• Ella Rabinovich (University of Toronto)
• Dianna Radpour (University of Colorado Boulder)
• Preethi Raghavan (IBM Research)
• Revanth Rameshkumar (Microsoft)
• Sudha Rao (Microsoft Research)
• Marek Rei (University of Cambridge)
• Roi Reichart (Technion)
• Adithya Renduchintala (JHU)
• Carolyn Penstein Rose (CMU)
• Alla Rozovskaya (City University of New York)
• Koustuv Saha (Georgia Tech)
• Keisuke Sakaguchi (Allen Institute for Artificial Intelligence)
• Maarten Sap (University of Washington)
• Natalie Schluter (IT University of Copenhagen)
• Andrew Schwartz (Stony Brook University)
• Djamé Seddah (University Paris-Sorbonne)
• Amirreza Shirani (University of Houston)
• Dan Simonson (BlackBoiler)
• Evangelia Spiliopoulou (Carnegie Mellon University)
• Jan Šnajder (University of Zagreb)
• Gabriel Stanovsky (Allen Institute for Artificial Intelligence)
• Ian Stewart (Georgia Tech)
• Jeniya Tabassum (Ohio State University)
• Joel Tetreault (Grammarly)
• Sara Tonelli (FBK)
• Rob van der Goot (University of Groningen)
• Rob Voigt (Stanford University)
• Byron Wallace (Northeastern University)
• Xiaojun Wan (Peking University)
• Zeerak Waseem (University of Sheffield)
• Zhongyu Wei (Fudan University)
• Diyi Yang (Georgia Tech)
• Yi Yang (ASAPP)
• Guido Zarrella (MITRE)
• Justine Zhang (Cornell University)
• Jason Shuo Zhang (University of Colorado, Boulder)
• Shi Zong (Ohio State University)

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