Below is a list of the long papers accepted at NLDB 2017. Note that they are sorted according to their titles.



A Discriminative Possibilistic Approach for Query Translation Disambiguation Wiem Ben Romdhane, Bilel Elayeb and Narjès Bellamine Ben Saoud
A Gated Neural Network for Sentence Compression using Linguistic Knowledge Yang Zhao and Akiko Aizawa
A Hierarchical Iterative Attention Model for Machine Comprehension Zhuang Liu, Degen Huang and Jing Zhang
A Syntactic Parse-key Tree based Approach for English Grammar Question Retrieval Lanting Fang, Anh Tuan Luu, Siu Cheung Hui and Lenan Wu
An Improved PLDA Model for Short Text Chaotao Chen and Jiangtao Ren
Automatically Labelling Sentiment-bearing Topics with Descriptive Sentence Labels Mohamad Hardyman Barawi, Chenghua Lin and Advaith Siddharthan
Composite Semantic Relation Classification Siamak Barzegar, Andre Freitas, Siegfried Handschuh and Brian Davis
Document Aboutness via Sophisticated Syntactic and Semantic Features Marco Ponza, Paolo Ferragina and Francesco Piccinno
Enriching Argumentative Texts with Implicit Knowledge Maria Becker, Michael Staniek, Vivi Nastase and Anette Frank
Estimating Distributed Representations of Compound Words using Recurrent Neural Networks Natthawut Kertkeidkachorn and Ryutaro Ichise
Event Detection for Heterogeneous News Streams Ida Mele and Fabio Crestani
Feature Selection using Multiobjective Optimization for Aspect based Sentiment Analysis Md Shad Akhtar, Sarah Kohail, Amit Kumar
Fine-grained Opinion Mining from Mobile App Reviews with Word Embedding Features Mario Sänger, Ulf Leser and Roman Klinger
Mining Incoherent Requirements in Technical Specifications Patrick Saint Dizier
Simplified Text-to-Pictograph Translation for People with Intellectual Disabilities Leen Sevens, Vincent Vandeghinste, Ineke Schuurman and Frank Van Eynde.
Summarizing Web Documents using Sequence Labeling with User-generated Content and Third-party Source Minh-Tien Nguyen, Vu Tran, Chien Tran and Nguyen Le Minh
Technical Aspect Extraction from Customer Reviews based on Seeded Word Clustering Jean-Marc Davril, Tony Leclercq, Maxime Cordy and Patrick Heymans
Vector Embedding of Wikipedia Concepts and Entities Ehsan Sherkat and Evangelos Milios
Vector Space Representation of Concepts Using Wikipedia Graph Structure Seyed Armin Sajadi, Evangelos Milios and Vlado Keselj
What Does My Classifier Learn? A Visual Approach to Understanding Natural Language Text Classifiers Jonas Winkler and Andreas Vogelsang
What You Use, Not What You Do: Automatic Classification of Recipes Hanna Kicherer, Marcel Dittrich, Lukas Grebe, Christian Scheible and Roman Klinger
WikiTrends: Unstructured Wikipedia-based Text Analytics Framework. Michel Naim Gerguis, Cherif Salama and M. Watheq El-Kharashi