Programme

Instruction

• POSTER SIZE: Poster boards can accommodate A0 sized posters in both landscape and portrait formats (landscape preferred). They have velcro tabs to stick the poster onto the board.

• SCHEDULE: Display your poster before the morning session starts (-9:00), or during the morning coffee break (10:00-10:30). Remove it right after the poster session ends, or during the afternoon coffee break. Do not leave your poster in the room. Posters are arranged by subject areas, and presenters may be co-located near other posters on similar topics.

• LUNCH: Poster sessions are scheduled over lunch time (12:30-14:00). Catered lunch will be provided at around 12:10, and it is suggested that you pick up some food before you start the presentation.

July 17, 2018

• Towards Opinion Summarization of Customer Reviews

Samuel Pecar

• Sampling Informative Training Data for RNN Language Models

Jared Fernandez and Doug Downey

• Learning-based Composite Metrics for Improved Caption Evaluation

Naeha Sharif, Lyndon White, Mohammed Bennamoun and Syed Afaq Ali Shah

• Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation

Yuki Kawara, Chenhui Chu and Yuki Arase

• Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Informa- tion

Sonit Singh

• Recognizing Complex Entity Mentions: A Review and Future Directions

Xiang Dai

• Automatic Detection of Cross-Disciplinary Knowledge Associations

Menasha Thilakaratne, Katrina Falkner and Thushari Atapattu

• Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets

Kushagra Singh, Indira Sen and Ponnurangam Kumaraguru

• German and French Neural Supertagging Experiments for LTAG Parsing

Tatiana Bladier, Andreas van Cranenburgh, Younes Samih and Laura Kallmeyer

• SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags

Eva Vanmassenhove and Andy Way

• Unsupervised Semantic Abstractive Summarization

Shibhansh Dohare, Vivek Gupta and Harish Karnick

July 18, 2018

• Biomedical Document Retrieval for Clinical Decision Support System

Jainisha Sankhavara

• A Computational Approach to Feature Extraction for Identification of Suicidal Ideation in Tweets

Ramit Sawhney, Prachi Manchanda, Raj Singh and Swati Aggarwal

• BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations

Sreekavitha Parupalli, Vijjini Anvesh Rao and Radhika Mamidi

• Reinforced Extractive Summarization with Question-Focused Rewards

Kristjan Arumae and Fei Liu

• Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models

Satoru Katsumata, Yukio Matsumura, Hayahide Yamagishi and Mamoru Komachi

• Exploring Chunk Based Templates for Generating a subset of English Text

Nikhilesh Bhatnagar, Manish Shrivastava and Radhika Mamidi

• Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions

Eric Wallace and Jordan Boyd-Graber

• Alignment Analysis of Sequential Segmentation of Lexicons to Improve Automatic Cognate Detection

Pranav A

• Mixed Feelings: Natural Text Generation with Variable, Coexistent Affective Cate- gories

Lee Kezar

• Automatic Spelling Correction for Resource-Scarce Languages using Deep Learn- ing

Pravallika Etoori, Manoj Chinnakotla and Radhika Mamidi

• Automatic Question Generation using Relative Pronouns and Adverbs

Payal Khullar, Konigari Rachna, Mukul Hase and Manish Shrivastava