timelocationinfo

On this page, you can choose the sessions (and individual papers/posters) of your choice and generate a PDF of your customized schedule! This page should work on modern browsers on all operating systems. On mobile devices, Safari on iOS and Chrome on Android are the only browsers known to work. For the best experience, use a non-mobile device. For help, simply type "?"" while on the page or click on the "Help" button.

Note: To accommodate the large number of attendees, some sessions will be livestreamed into multiple rooms. For sessions listed with multiple rooms, the first room will have the actual presentations & the rest will show a live-streamed feed of the presentations. Recorded videos for talks are linked below in the schedule. To request the removal of your video, contact the video chair. Videos for the 3 tutorials on October 31st are unfortunately unavailable due to unforeseen issues with the videography.

Wednesday, October 31 2018
Morning Tutorials
09:00 – 12:30

[T1] Joint Models for NLP. Yue Zhang.
Gold Hall
[T2] Graph Formalisms for Meaning Representations. Adam Lopez and Sorcha Gilroy.
Hall 100
Lunch
12:30 – 14:00
Afternoon Tutorials
14:00 – 17:30

[T3] Writing Code for NLP Research. Matt Gardner, Mark Neumann, Joel Grus, and Nicholas Lourie.
Gold Hall
Workshops & Co-located Events
08:30 – 18:00

[W1] WMT18: The Third Conference on Machine Translation (Day 1).
Bozar Hall (Salle M)
[W2] CoNLL: The Conference on Computational Natural Language Learning (Day 1).
Copper Hall / Studio 311 – 312
[W3] LOUHI: The Ninth International Workshop on Health Text Mining and Information Analysis.
The Arc
[W4] ALW2: Second Workshop on Abusive Language Online.
Studio 211 – 212
[W5] SCAI: Search-Oriented Conversational AI.
Silver Hall / Studio 313 – 315
[W6] SIGMORPHON: Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology.
Studio 213 – 215
[W7] WASSA: 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis.
Hall 400
[W8] SMM4H: 3rd Workshop on Social Media Mining for Health Applications Workshop & Shared Task.
Studio 201A/B
Thursday, November 1 2018
Morning Tutorials
09:00 – 12:30

[T4] Deep Latent Variable Models of Natural Language. Alexander Rush, Yoon Kim, and Sam Wiseman.  
Gold Hall
[T5] Standardized Tests as benchmarks for Artificial Intelligence. Mrinmaya Sachan, Minjoon Seo, Hannaneh Hajishirzi, and Eric Xing.  
Hall 400
Lunch
12:30 – 14:00
Afternoon Tutorials
14:00 – 17:30

[T6] Deep Chit-Chat: Deep Learning for ChatBots. Wei Wu and Rui Yan.  
Gold Hall
Workshops & Co-located Events
09:00 – 17:00

[W1] WMT18: The Third Conference on Machine Translation (Day 2).
Bozar Hall (Salle M)
[W2] CoNLL: The Conference on Computational Natural Language Learning (Day 2).
Copper Hall / Studio 311 – 312
[W9] BioASQ: Large-scale Biomedical Semantic Indexing and Question Answering.
Studio 313 – 315
[W10] BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP.
Silver Hall / Hall 100
[W11] FEVER: First Workshop on Fact Extraction and VERification.
The Arc
[W12] ARGMINING: 5th International Workshop on Argument Mining.
Studio 213 – 215
[W13] W-NUT: 4th Workshop on Noisy User-generated Text.
Panoramic Hall
[W14] UDW-18: Second Workshop on Universal Dependencies.
Studio 201A/B
Welcome Reception
18:00 – 20:00
Grand Hall


Catch up with your colleagues at the Welcome Reception! It will be held immediately following the tutorials on Thursday, November 1st.
Appetizers and refreshments will be provided.

Friday, 2 November 2018
Opening remarks
09:00 – 09:30
Gold Hall / Copper Hall / Silver Hall / Hall 100
Keynote I: "Truth or Lie? Spoken Indicators of Deception in Speech"
Julia Hirschberg (Columbia University)
09:30 – 10:30
Gold Hall / Copper Hall / Silver Hall / Hall 100

Detecting deception from various forms of human behavior is a longstanding research goal which is of considerable interest to the military, law enforcement, corporate security, social services and mental health workers. However, both humans and polygraphs are very poor at this task. We describe more accurate methods we have developed to detect deception automatically from spoken language. Our classifiers are trained on the largest cleanly recorded corpus of within-subject deceptive and non-deceptive speech that has been collected. To distinguish truth from lie we make use of acoustic-prosodic, lexical, demographic, and personality features. We further examine differences in deceptive behavior based upon gender, personality, and native language (Mandarin Chinese vs. English), comparing our systems to human performance. We extend our studies to identify cues in trusted speech vs. mistrusted speech and how these features differ by speaker and by listener. Why does a listener believe a lie?   

Coffee Break
10:30 – 11:00
Long Papers & Demos I (Orals & Posters)
1A: Social Applications I
11:00 – 12:30
Gold Hall

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Chair: Dirk Hovy
11:00–11:18 Privacy-preserving Neural Representations of Text. Maximin Coavoux, Shashi Narayan and Shay B. Cohen    
11:18–11:36 Adversarial Removal of Demographic Attributes from Text Data. Yanai Elazar and Yoav Goldberg    
11:36–11:54 DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. Kashyap Popat, Subhabrata Mukherjee, Andrew Yates and Gerhard Weikum    
11:54–12:12 It's going to be okay: Measuring Access to Support in Online Communities. Zijian Wang and David Jurgens    
12:12–12:30 Detecting Gang-Involved Escalation on Social Media Using Context. Serina Chang, Ruiqi Zhong, Ethan Adams, Fei-Tzin Lee, Siddharth Varia, Desmond Patton, William Frey, Chris Kedzie and Kathy McKeown    
1B: Semantics I
11:00 – 12:30
Copper Hall

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Chair: Natalie Schluter
11:00–11:18 Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut and Peter Clark    
11:18–11:36 Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White and Benjamin Van Durme    
11:36–11:54 Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. Matthew Lamm, Arun Chaganty, Christopher D. Manning, Dan Jurafsky and Percy Liang    
11:54–12:12 SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. Rowan Zellers, Yonatan Bisk, Roy Schwartz and Yejin Choi    
12:12–12:30 TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. Wenpeng Yin and Dan Roth    
1C: Vision
11:00 – 12:30
Silver Hall / Panoramic Hall

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Chair: Grzegorz Chrupała
11:00–11:18 Associative Multichannel Autoencoder for Multimodal Word Representation. Shaonan Wang, Jiajun Zhang and Chengqing Zong    
11:18–11:36 Game-Based Video-Context Dialogue. Ramakanth Pasunuru and Mohit Bansal    
11:36–11:54 simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions. Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang and Xu Sun    
11:54–12:12 Multimodal Language Analysis with Recurrent Multistage Fusion. Paul Pu Liang, Ziyin Liu, AmirAli Bagher Zadeh and Louis-Philippe Morency    
12:12–12:30 Temporally Grounding Natural Sentence in Video. Jingyuan Chen, Xinpeng Chen, Lin Ma, Zequn Jie and Tat-Seng Chua    
1D: Entities & Coreference
11:00 – 12:30
Hall 100 / Hall 400

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Chair: Eduardo Blanco
11:00–11:18 PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution. Hong Chen, Zhenhua Fan, Hao Lu, Alan Yuille and Shu Rong    
11:18–11:36 Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism. Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao and Shengping Liu    
11:36–11:54 Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers. Nafise Sadat Moosavi and Michael Strube    
11:54–12:12 Neural Segmental Hypergraphs for Overlapping Mention Recognition. Bailin Wang and Wei Lu    
12:12–12:30 Variational Sequential Labelers for Semi-Supervised Learning. Mingda Chen, Qingming Tang, Karen Livescu and Kevin Gimpel    
1D: Entities & Coreference
11:00 – 12:30
Hall 100 / Hall 400

Choose All Remove All
Chair: Eduardo Blanco
11:00–11:18 PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution. Hong Chen, Zhenhua Fan, Hao Lu, Alan Yuille and Shu Rong    
11:18–11:36 Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism. Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao and Shengping Liu    
11:36–11:54 Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers. Nafise Sadat Moosavi and Michael Strube    
11:54–12:12 Neural Segmental Hypergraphs for Overlapping Mention Recognition. Bailin Wang and Wei Lu    
12:12–12:30 Variational Sequential Labelers for Semi-Supervised Learning. Mingda Chen, Qingming Tang, Karen Livescu and Kevin Gimpel    
1E: Machine Translation & Multilingual Methods (Posters and Demos)
11:00 – 12:30
Grand Hall

Multilingual Methods
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen and Tiansi Dong  
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance. Yftah Ziser and Roi Reichart  
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding. Lifu Huang, Kyunghyun Cho, Boliang Zhang, Heng Ji and Kevin Knight  
Unsupervised Multilingual Word Embeddings. Xilun Chen and Claire Cardie  
CLUSE: Cross-Lingual Unsupervised Sense Embeddings. Ta Chung Chi and Yun-Nung Chen  
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization. Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Nikola Mrkšić and Anna Korhonen  
Improving Cross-Lingual Word Embeddings by Meeting in the Middle. Yerai Doval, Jose Camacho-Collados, Luis Espinosa Anke and Steven Schockaert  
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse. Manaal Faruqui, Ellie Pavlick, Ian Tenney and Dipanjan Das  
On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling. Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti, Roi Reichart and Anna Korhonen  
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text. Yuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge and David Weiss  
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning. Weichao Wang, Shi Feng, Wei Gao, Daling Wang and Yifei Zhang  
Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks. Zhichun Wang, Qingsong Lv, Xiaohan Lan and Yu Zhang  
Cross-lingual Lexical Sememe Prediction. Fanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie and Zhiyuan Liu  
Neural Cross-Lingual Named Entity Recognition with Minimal Resources. Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith and Jaime Carbonell  
Machine Translation
A Stable and Effective Learning Strategy for Trainable Greedy Decoding. Yun Chen, Victor O.K. Li, Kyunghyun Cho and Samuel Bowman  
Addressing Troublesome Words in Neural Machine Translation. Yang Zhao, Jiajun Zhang, Zhongjun He, Chengqing Zong and Hua Wu  
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing. Jetic Gū, Hassan S. Shavarani and Anoop Sarkar  
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan and William Yang Wang  
Contextual Parameter Generation for Universal Neural Machine Translation. Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig and Tom Mitchell  
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation. Marzieh Fadaee and Christof Monz  
Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination. Jiali Zeng, Jinsong Su, Huating Wen, Yang Liu, Jun Xie, Yongjing Yin and Jianqiang Zhao  
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction. Sebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva and Anders Søgaard  
Non-Adversarial Unsupervised Word Translation. Yedid Hoshen and Lior Wolf  
Semi-Autoregressive Neural Machine Translation. Chunqi Wang, Ji Zhang and Haiqing Chen  
Understanding Back-Translation at Scale. Sergey Edunov, Myle Ott, Michael Auli and David Grangier  
Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages. Shyam Upadhyay, Jordan Kodner and Dan Roth  
NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings. Ndapa Nakashole  
Adaptive Multi-pass Decoder for Neural Machine Translation. Xinwei Geng, Xiaocheng Feng, Bing Qin and Ting Liu  
Improving the Transformer Translation Model with Document-Level Context. Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang and Yang Liu  
MTNT: A Testbed for Machine Translation of Noisy Text. Paul Michel and Graham Neubig  
Demos
CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++. Xiaolin Wang, Masao Utiyama and Eiichiro Sumita  
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing. Taku Kudo and John Richardson  
Lunch
12:30 – 13:45
  Include plenary sessions in schedule