Papers
Confusionset-guided Pointer Networks for Chinese Spelling Check
Dingmin Wang, Yi Tay, Li Zhong
Corpus-based Check-up for Thesaurus
Natalia Loukachevitch
Collocation Classification with Unsupervised Relation Vectors
Luis Espinosa Anke, Steven Schockaert, Leo Wanner
Deep Neural Model Inspection and Comparison via Functional Neuron Pathways
James Fiacco, Samridhi Choudhary, Carolyn Rose
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen et al.
Empirical Linguistic Study of Sentence Embeddings
Katarzyna Krasnowska-Kieraś, Alina Wróblewska
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning
Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller et al.
Modeling Semantic Compositionality with Sememe Knowledge
Fanchao Qi, Junjie Huang, Chenghao Yang et al.
Word2Sense: Sparse Interpretable Word Embeddings
Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya
Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation
Daniel Loureiro, Alípio Jorge
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings
Sawan Kumar, Sharmistha Jat, Karan Saxena et al.
Improving Neural Conversational Models with Entropy-Based Data Filtering
Richárd Csáky, Patrik Purgai, Gábor Recski
Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
Xuewei Wang, Weiyan Shi, Richard Kim et al.
Target-Guided Open-Domain Conversation
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong et al.
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
Hung Le, Doyen Sahoo, Nancy Chen et al.
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
Jie Cao, Michael Tanana, Zac Imel et al.
An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing
Zhisong Zhang, Xuezhe Ma, Eduard Hovy
Combating Adversarial Misspellings with Robust Word Recognition
Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton
Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu, Qingyu Yin, William Yang Wang
Generating Fluent Adversarial Examples for Natural Languages
Huangzhao Zhang, Hao Zhou, Ning Miao et al.
Depth Growing for Neural Machine Translation
Lijun Wu, Yiren Wang, Yingce Xia et al.
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks
Ahmad Aghaebrahimian, Mark Cieliebak
Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks
Anush Kamath, Sparsh Gupta, Vitor Carvalho
Soft Contextual Data Augmentation for Neural Machine Translation
Fei Gao, Jinhua Zhu, Lijun Wu et al.
Misleading Failures of Partial-input Baselines
Shi Feng, Eric Wallace, Jordan Boyd-Graber