1. Attend, Compare and Aggregate: A Deep Neural Approach for Natural Language Inference
Wasi Ahmad, Renqin Cai and Chao Jiang (University of Virginia)
2. Arabic Textual Entailment with Word Embeddings
Nada Almarwani and Mona Diab (George Washington University)
Lawrence Chan and Joao Sedoc (University of Pennsylvania)
4. An Attention Model for Categorizing Patient Safety Events
Arman Cohan, Allan Fong, Nazli Goharian and Raj Ratwani (Georgetown University and Medstar)
5. Modeling Topical Correspondence with Word Embeddings in Commented News Data
Renqin Cai and Hongning Wang (University of Virginia)
6. A Case Study on Low Resource Neural Machine Translation: Translating TED talks from English to Vietnamese
Phong Dinh and Marine Carpuat (University of Maryland)
7. LILI: A Simple Language Independent Approach for Language Identification
Mohamed Elbadrashiny and Mona Diab (George Washington University)
8. Learning Monolingual Compositional Representations via Bilingual Supervision
Ahmed Elgohary and Marine Carpuat (University of Maryland)
9. Part of Speech Tagging for Code Switched Data
Fahad Ghamdi, Mona Diab, Giovanni Molina, Thamar Solorio, Abdelati Hawwari, Victor Soto and Julia Hirschberg (George Washington University and Columbia University)
10. Machine Learning Applied to Insider Fraud Detection for Point-Of-Sale Transactions
Christine Hines and Abdou Youssef (George Washington University)
11. Developing Sentiment Analysis Resources for Persian
Pedram Hosseini (George Washington University)
12. Domain Specific Fact Checking on Social Media
Sardar Hamidian (George Washington University)
13. Laryngeal Specifications of Breathy-voiced Stops: Variation in Bangla Complicates the Phenomenon
Md Jahurul Islam (Georgetown University)
14. PU-Learning for LearningWord Embedding with Side Information
Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Akshay Balwally and Kai-Wei Chang (University of Virginia and University of Texas)
15. Predictive Linguistic Features of Schizophrenia
Efsun Kayi, Luca Pauselli, Michael Compton, Glen Coppersmith and Mona Diab (George Washington University)
16. Global Constraints on Entailment Types in the Paraphrase Database
Reno Kriz and Chris Callison-Burch (University of Pennsylvania)
17. A Framework for Cross-Domain Clinical Temporal Information Extraction
Sean MacAvaney, Arman Cohan and Nazli Goharian (Georgetown University)
18. Verbal Antecedents for ‘This’ and ‘That’
Emma Manning (Georgetown University)
19. THYME Annotation via Abstract Meaning Representation Augmentation
Sean MacAvaney, Nathan Schneider and Nazli Goharian (Georgetown University)
20. ``Hey Dude" or ``Dear Sir"?: Modeling Lexical Formality for Downstream Applications
Xing Niu, Marianna Martindale and Marine Carpuat (University of Maryland)
21. Speaker Diarization for Automatic Speech Recognition
Vimal Manohar (Johns Hopkins University)
22. Generating automatic pseudo-entailments from AMR parses
Adam Poliak and Benjamin Van Durme (Johns Hopkins University)
23. A recommendation system to match college events to students
Kazem Qazanfari and Abdou Youssef (George Washington University)
24. Reconstructing Thread Structure For Reddit Comments
Sean Simpson (Georgetown University)
25. Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering
João Sedoc and Aline Normoyle (University of Pennsylvania)
26. Structured Prediction via Learning to Search under Bandit Feedback
Amr Sharaf and Hal Daumé III (University of Maryland)
27. Capturing the Human Nuances of Optimism using Discourse Relations and Explanatory Style Recognition
Youngseo Son, Nipun Bayas and Hansen Schwartz (Stony Brook University)
28. Searching for Coreferent Mentions
Rashmi Sankepally, Tongfei Chen, Douglas Oard, Dawn Lawrie, Tim Finin, James Mayfield and Bejamin Van Durme (University of Maryland)
29. Unsupervised Induction of Word Connotation from Large Corpora
Barbara Vasilchenko and Marine Carpuat (University of Maryland)
30. Detecting Lexical Entailment in Context
Yogarshi Vyas and Marine Carpuat (University of Maryland)
31. Food ordering or chatting: Food, gender, and family at a restaurant
Ping-Hsuan Wang (Georgetown University)
32. SHELL: Scoring Human-like Errors in generated Language
Bryan Wilkinson, Ashwinkumar Ganesan and Tim Oates (University of Maryland Baltimore County)
33. What else is there? Deep multi-label prediction under incomplete labels
Tianlu Wang, Ali Farhadi and Vicente Ordonez (University of Virginia and Washington University)
34. Zipporah, an Automatic Data Cleaning System for Noisy Web-Crawled Parallel Corpora
Hainan Xu and Philipp Koehn (Johns Hopkins University)
35. Investigate Naturalness of Mandarin TTS using SSML
Wenxi Yang (Georgetown University)
36. Generating Visually Descriptive Language from Abstract Scene Layouts
Xuwang Yin and Vicente Ordonez (University of Virginia)
37. Mining Mandarin Tone Syllable N-grams Through Time-series Subsequence Pattern Network Analysis
Shuo Zhang (Georgetown University)
38. Combining Structured Features with Language to Predict the Real Estate Market
Mohammadzaman Zamani and Hansen Andrew Schwartz (Stony Brook University)
39. A Modular Template Matching Approach for VQA
Md Rizwan Parvez, Tolga Bolukbasi, Venkatesh Saligrama and Kai-Wei Chang (University of Virginia)
