Papers
Surface Realization Shared Task 2018 (SR18): The Tilburg University Approach
Thiago Castro Ferreira, Sander Wubben, Emiel Krahmer
IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation
Shreyansh Singh, Ayush Sharma, Avi Chawla et al.
BinLin: A Simple Method of Dependency Tree Linearization
Yevgeniy Puzikov, Iryna Gurevych
The First Multilingual Surface Realisation Shared Task (SR’18): Overview and Evaluation Results
Simon Mille, Anja Belz, Bernd Bohnet et al.
Low-rank passthrough neural networks
Antonio Valerio Miceli Barone
Semi-Supervised Learning with Auxiliary Evaluation Component for Large Scale e-Commerce Text Classification
Mingkuan Liu, Musen Wen, Selcuk Kopru et al.
Investigating Effective Parameters for Fine-tuning of Word Embeddings Using Only a Small Corpus
Kanako Komiya, Hiroyuki Shinnou
Domain Adapted Word Embeddings for Improved Sentiment Classification
Prathusha Kameswara Sarma, Yingyu Liang, Bill Sethares
Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus
Fariz Ikhwantri, Samuel Louvan, Kemal Kurniawan et al.
Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data
Koel Dutta Chowdhury, Mohammed Hasanuzzaman, Qun Liu
Compositional Language Modeling for Icon-Based Augmentative and Alternative Communication
Shiran Dudy, Steven Bedrick
Multi-task learning for historical text normalization: Size matters
Marcel Bollmann, Anders Søgaard, Joachim Bingel
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data
Michael A. Hedderich, Dietrich Klakow
Character-level Supervision for Low-resource POS Tagging
Katharina Kann, Johannes Bjerva, Isabelle Augenstein et al.
DNN Multimodal Fusion Techniques for Predicting Video Sentiment
Jennifer Williams, Ramona Comanescu, Oana Radu et al.
Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis
Hai Pham, Thomas Manzini, Paul Pu Liang et al.
ASR-based Features for Emotion Recognition: A Transfer Learning Approach
Noé Tits, Kevin El Haddad, Thierry Dutoit
Polarity and Intensity: the Two Aspects of Sentiment Analysis
Leimin Tian, Catherine Lai, Johanna Moore
Sentiment Analysis using Imperfect Views from Spoken Language and Acoustic Modalities
Imran Sheikh, Sri Harsha Dumpala, Rupayan Chakraborty et al.
Convolutional Attention Networks for Multimodal Emotion Recognition from Speech and Text Data
Woo Yong Choi, Kyu Ye Song, Chan Woo Lee
Multimodal Relational Tensor Network for Sentiment and Emotion Classification
Saurav Sahay, Shachi H Kumar, Rui Xia et al.
Recognizing Emotions in Video Using Multimodal DNN Feature Fusion
Jennifer Williams, Steven Kleinegesse, Ramona Comanescu et al.
Getting the subtext without the text: Scalable multimodal sentiment classification from visual and acoustic modalities
Nathaniel Blanchard, Daniel Moreira, Aparna Bharati et al.
Code-Switched Named Entity Recognition with Embedding Attention
Changhan Wang, Kyunghyun Cho, Douwe Kiela