| 10:50 |
Opening |
| 11:00 |
Keynote Talk: Rada Mihalcea - Words and People |
| 12:00 |
Lunch (in conference center) |
| 13:15 |
Talk Session: Paraphrasing and QA |
|
Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, and Kedar Dhamdhere - Analyzing Deep Learning models for Question-Answering |
|
John Wieting and Kevin Gimpel - ParaNMT: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations |
|
Wuwei Lan, Siyu Qiu, Hua He, and Wei Xu - Automatic Paraphrase Collection and Identification in Twitter |
| 14:15 |
Break and Poster Session |
| 15:45 |
Talk Session: Speech I |
|
Herman Kamper, Greg Shakhnarovich, and Karen Livescu - Semantic speech retrieval with a visually grounded model |
|
Trang Tran, Shubham Toshniwal, Mohit Bansal, Kevin Gimpel, Karen Livescu, and Mari Ostendorf - A Neural Approach to Integrating Lexical and Acoustic-Prosodic Information for Parsing Speech |
| 16:30 |
Talk Session: Text Mining |
|
Qingkai Zeng, Haiqiao Zhang, Yiyu Shi, Jinjun Xiong, and Meng Jiang - HiGrowth: Growing Faceted Concept Hierarchy from Data Science Literature |
|
Denis Newman-Griffis and Ayah Zirikly - Embedding Transfer for Low-Resource Named Entity Recognition of Patient Mobility |
|
Xueying Wang, Qi Li, and Meng Jiang - On Power of the World's Invariants: When Truth Finding Meets Temporal Unstructured Data |
| 9:00 |
Breakfast and Poster Session |
| 10:30 |
Keynote Talk: Noah Smith - Syncretizing Structured and Learned Representations |
| 11:30 |
Talk Session: Semantics |
|
Laura Wendlandt, Jonathan K. Kummerfeld, and Rada Mihalcea - Factors Influencing the Surprising Instability of Word Embeddings |
|
Mark Graves - Semantic Analysis of Morally Significant Texts |
|
Jonathan Kummerfeld - Towards Parsing Multiple Syntactic and Semantic Representations with a Single Model |
| 12:30 |
Lunch (in conference center) |
| 13:45 |
Talk Session: Speech II |
|
Mark Hasegawa-Johnson, Alan Black, Lucas Ondel, Odette Scharenborg, and Francesco Ciannella - image2speech: Using Sequence-to-Sequence Neural Nets to Generate Spoken Descriptions of Images |
|
Qingming Tang, Weiran Wang, and Karen Livescu - Acoustic feature learning using cross-domain articulatory measurements |
| 14:30 |
Talk Session: Discourse |
|
Ayush Jain, Steven Lancett, Mahak Goindani, and Dan Goldwasser - Using latent discourse relations to identify constructiveness in online discussions |
|
Kathleen Eberhard, Matthias Scheutz, and Felix Gervits - Differences between effective and ineffective communication in a remote collaborative search task |
| 15:10 |
Closing |
| Antonis Anastasopoulos and David Chiang - Endangered Language Transcription and Translation with Multi-Source and Multi-Target Neural Models |
| Justin DeBenedetto and David Chiang - Algorithms and Training for Weighted Multiset Automata and Regular Expressions |
| Samuel Grieggs, Bingyu Shen, John Nolan, Luke Song, Ivy Wang, Christine Ascik, Erik Ellis, Mihow McKenny, Nikolas Churik, Emily Mahan, Hildegund Muller, and Walter Scheirer - Verba Volant, Scripta Manent: Automatic Transcription of Mediaeval Latin Manuscripts |
| Siyuan Jiang, Ameer Armaly, and Collin McMillan - Automatically generating commit messages from diffs using neural machine translation |
| Jeffery Kinnison, Nozomu Okuda, James O. Gawley, Cari Haas, A. Caitlin Diddams, Christopher Forstall, Neil Coffee, and Walter Scheirer - Tesserae Intertext Service: Intertextual Search Access to Digital Collections in the Humanities |
| Ruotian Luo, Brian Price, Scott Cohen, and Greg Shakhnarovich - Discriminability objective for training descriptive captions |
| Kenton Murray and David Chiang - Solving the Wide Beam Problem in Neural Machine Translation |
| Baoxu Shi and Tim Weninger - Open-world Knowledge Graph Completion |
| Corey Pennycuff, Satyaki Sikdar, Catalina Vajiac, David Chiang, and Tim Weninger - Synchronous Hyperedge Replacement Graph Grammars |
| Shubham Toshniwal and Karen Livescu - Using Unpaired Text in Encoder-Decoder Models for Speech Recognition |
| Xiao Zhang - Towards a Cognitively-Inspired Decomposition of Deep Structured Prediction Tasks |
| Yihan Zhou - Classifying the personal suffixes in English: a quantitative study |
| Mehrdad Alizadeh - Enhancing Visual Question Answering using Natural Language Features |
| Arturo Argueta and David Chiang - Composing Finite State Transducers on GPUs |
| Mingda Chen and Kevin Gimpel - Smaller Text Classifiers with Discriminative Cluster Embeddings |
| Jared Fernandez and Doug Downey - Sampling Informative Training Sets for RNN Language Models |
| Maria Glenski, Tim Weninger, and Svitlana Volkova - Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources |
| Yuan Gong, Kevin Shin, and Christian Poellabauer - Improving LIWC Using WordNet-Based Soft Word Matching |
| Samuel Grieggs, Bingyu Shen, John Nolan, Luke Song, Ivy Wang, Christine Ascik, Erik Ellis, Mihow McKenny, Nikolas Churik, Emily Mahan, Hildegund Muller, and Walter Scheirer - Verba Volant, Scripta Manent: Automatic Transcription of Mediaeval Latin Manuscripts |
| Peter Plantinga, Deblin Bagchi, and Eric Fosler-lussier - Spectral Mapping Using Residual Networks and Mimic Loss |
| Bowen Shi, Aurora Martinez del Rio, Jon Michaux, Greg Shakhnarovich, Diane Brentari, and Karen Livescu - American Sign Language fingerspelling recognition in the wild |
| Qingming Tang and Karen Livescu - Factorized variational sequential models for discriminative feature learning |
| Lifu Tu and Kevin Gimpel - Learning Approximate Inference Networks for Structured Prediction |
| Hai Wang and Hoifung Poon - Denoising Weak Supervision by Composing Knowledge-Rich Graphical Models with Deep Learning |