Word
- Apr 24 A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation
- Apr 24 Semi-supervised Multitask Learning for Sequence Labeling
- Apr 24 Using Global Constraints and Reranking to Improve Cognates Detection
- Apr 24 Fast and Accurate Neural Word Segmentation for Chinese
- Apr 23 Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling
- Apr 23 Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition
- Apr 21 Neural System Combination for Machine Translation
- Apr 19 Redefining Context Windows for Word Embedding Models: An Experimental Study
- Apr 18 25 Tweets to Know You: A New Model to Predict Personality with Social Media
- Apr 18 Representing Sentences as Low-Rank Subspaces
- Apr 15 Video Fill In the Blank using LR/RL LSTMs with Spatial-Temporal Attentions
- Apr 15 MUSE: Modularizing Unsupervised Sense Embeddings
- Apr 14 Distributional model on a diet: One-shot word learning from text only
- Apr 13 Incremental Skip-gram Model with Negative Sampling
- Apr 13 Incremental Skip-gram Model with Negative Sampling
- Apr 12 Deep Reinforcement Learning-based Image Captioning with Embedding Reward
- Apr 11 What do Neural Machine Translation Models Learn about Morphology?
- Apr 10 Character-Word LSTM Language Models
- Apr 10 Word Embeddings via Tensor Factorization
- Apr 8 On the Linearity of Semantic Change: Investigating Meaning Variation via Dynamic Graph Models
- Apr 7 Comparison of Global Algorithms in Word Sense Disambiguation