2017‎ > ‎

posters

Session #1: 12:15 - 14:00; Location: Basement level of Science and Engineering Hall (B1)


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)

3. Hard Pointer Networks

    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)


Session #2: 17:45 - 19:00; Location: Basement level of Science and Engineering Hall (B1)


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)