Papers
Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps
Nobuyuki Shimizu, Na Rong, Takashi Miyazaki
Robust Lexical Features for Improved Neural Network Named-Entity Recognition
Abbas Ghaddar, Phillippe Langlais
An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection
Zhenni You, Tieyun Qian, Bing Liu
Exploiting Syntactic Structures for Humor Recognition
Lizhen Liu, Donghai Zhang, Wei Song
A Retrospective Analysis of the Fake News Challenge Stance-Detection Task
Andreas Hanselowski, Avinesh PVS, Benjamin Schiller et al.
Recognizing Humour using Word Associations and Humour Anchor Extraction
Andrew Cattle, Xiaojuan Ma
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla et al.
Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM
Girishkumar Ponkiya, Kevin Patel, Pushpak Bhattacharyya et al.
Enhancing Sentence Embedding with Generalized Pooling
Qian Chen, Zhen-Hua Ling, Xiaodan Zhu
Subword-augmented Embedding for Cloze Reading Comprehension
Zhuosheng Zhang, Yafang Huang, Hai Zhao
Assessing Composition in Sentence Vector Representations
Allyson Ettinger, Ahmed Elgohary, Colin Phillips et al.
Embedding Words as Distributions with a Bayesian Skip-gram Model
Arthur Bražinskas, Serhii Havrylov, Ivan Titov
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators
Zhihao Fan, Zhongyu Wei, Siyuan Wang et al.
A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task
Qian Li, Ziwei Li, Jin-Mao Wei et al.
Extractive Headline Generation Based on Learning to Rank for Community Question Answering
Tatsuru Higurashi, Hayato Kobayashi, Takeshi Masuyama et al.
Measuring the Diversity of Automatic Image Descriptions
Emiel van Miltenburg, Desmond Elliott, Piek Vossen
Structure-Infused Copy Mechanisms for Abstractive Summarization
Kaiqiang Song, Lin Zhao, Fei Liu
Reproducing and Regularizing the SCRN Model
Olzhas Kabdolov, Zhenisbek Assylbekov, Rustem Takhanov
Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types
Paul Felt, Eric Ringger, Jordan Boyd-Graber et al.
A New Concept of Deep Reinforcement Learning based Augmented General Tagging System
Yu Wang, Abhishek Patel, Hongxia Jin
Variational Attention for Sequence-to-Sequence Models
Hareesh Bahuleyan, Lili Mou, Olga Vechtomova et al.
GenSense: A Generalized Sense Retrofitting Model
Yang-Yin Lee, Ting-Yu Yen, Hen-Hsen Huang et al.
Learning Word Meta-Embeddings by Autoencoding
Danushka Bollegala, Cong Bao
Contextual String Embeddings for Sequence Labeling
Alan Akbik, Duncan Blythe, Roland Vollgraf