Papers
Towards Unsupervised and Language-independent Compound Splitting using Inflectional Morphological Transformations
Patrick Ziering, Lonneke van der Plas
Morphological Inflection Generation Using Character Sequence to Sequence Learning
Manaal Faruqui, Yulia Tsvetkov, Graham Neubig et al.
Weighting Finite-State Transductions With Neural Context
Pushpendre Rastogi, Ryan Cotterell, Jason Eisner
Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods
Martin Riedl, Chris Biemann
Probabilistic Models for Learning a Semantic Parser Lexicon
Jayant Krishnamurthy
Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks
Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz
Cross-lingual Wikification Using Multilingual Embeddings
Chen-Tse Tsai, Dan Roth
Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps
Luana Bulat, Douwe Kiela, Stephen Clark
Conversational Markers of Constructive Discussions
Vlad Niculae, Cristian Danescu-Niculescu-Mizil
Large-scale Multitask Learning for Machine Translation Quality Estimation
Kashif Shah, Lucia Specia
Structured Prediction with Output Embeddings for Semantic Image Annotation
Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha et al.
Improving event prediction by representing script participants
Simon Ahrendt, Vera Demberg
Building Chinese Affective Resources in Valence-Arousal Dimensions
Liang-Chih Yu, Lung-Hao Lee, Shuai Hao et al.
Combining Recurrent and Convolutional Neural Networks for Relation Classification
Ngoc Thang Vu, Heike Adel, Pankaj Gupta et al.
Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network
Peilu Wang, Yao Qian, Frank K. Soong et al.
Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence
Gakuto Kurata, Bing Xiang, Bowen Zhou
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Ji Young Lee, Franck Dernoncourt
Breaking the Closed World Assumption in Text Classification
Geli Fei, Bing Liu
Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives
Roy Schwartz, Roi Reichart, Ari Rappoport
A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output
Hyun Kim, Jong-Hyeok Lee
Transition-Based Syntactic Linearization with Lookahead Features
Ratish Puduppully, Yue Zhang, Manish Shrivastava
The Sensitivity of Topic Coherence Evaluation to Topic Cardinality
Jey Han Lau, Timothy Baldwin
Bidirectional RNN for Medical Event Detection in Electronic Health Records
Abhyuday N Jagannatha, Hong Yu
An Unsupervised Model of Orthographic Variation for Historical Document Transcription
Dan Garrette, Hannah Alpert-Abrams
STransE: a novel embedding model of entities and relationships in knowledge bases
Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu et al.