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



A Convolutional Neural Network Based Sentiment Classification and the
Convolutional Kernel Representation
Gao Shen, Hua-Ping Zhang and Kai Gao
A Method for Querying Touristic Information Extracted from the Web Ermelinda Oro and Massimo Ruffolo
Application of NLP Techniques in Solving SmartHome Use-cases Parnab Kumar Chanda, Nitish Varshney and Ashok Subash
Authorship Attribution System Oleksandr Marchenko, Anatoly Anisimov, Andrii Nykonenko, Tetiana Rossada and Egor Melnikov
Automated Lexicon and Feature Construction using Word Embedding and
Clustering for EHR Classification
Gondy Leroy, Yang Gu, Sydney Pettygrove and Margaret Kurzius-Spence
Combination of Neural Networks for Multi-label Document Classification Ladislav Lenc and Pavel Král
Constructing Technical Knowledge Organizations from Document Structures Sebastian Furth and Joachim Baumeister
Detecting non-covered questions in FAQ databases Mladen Karan and Jan Šnajder
Employing Word Embeddings for Authorship Attribution of Small Texts Armin Hoenen
Improving Document Classification Effectiveness Using Knowledge Exploited by Ontologies Zenun Kastrati and Sule Yildirim-Yayilgan
Multi-objective Optimisation based Feature Selection Technique for Multi-Label
Sentiment Analysis
Mohammed Arif Khan, Eneldo Loza Mencía, Asif Ekbal and Johannes Fürnkranz
N-gram Based Approach to Recognize the Twitter Accounts of Turkish Daily Newspapers İslam Mayda and Mirsat Yeşiltepe
Named Entity Classification based on Profiles: A Domain Independent Approach Isabel Moreno, M. Teresa Romá-Ferri and Paloma Moreda
Quotology – Reading between the Lines of Quotations Dwijen Rudrapal, Amitava Das and Baby Bhattacharya
Rule-Based Extraction of Historical Events from Unstructured Text Sebastian Hüttemann, Michél Mahler, Darima Pivovarova, Simon Schwerin and Fabian Kirstein
Supporting Experts to Handle Tweet Collections about Significant Events Ali Hürriyetoğlu, Nelleke Oostdijk, Antal van Den Bosch and Mustafa Erkan Basar
Supporting Business Process Modeling Using RNNs for Label Classification Philip Hake, Manuel Zapp, Peter Fettke and Peter Loos
Towards Generating Object-Oriented Programs Automatically from Natural Language
Texts for Solving Mathematical Word Problems
Sourav Mandal and Sudip Kumar Naskar