Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005
Chinese Segmentation And New Word Detection Using Conditional Random Fields
Shallow Parsing With Conditional Random Fields
A Maximum Entropy Approach to Chinese Word Segmentation
Dynamic Conditional Random Fields for Joint Sentence Boundary and Punctuation Prediction
Recurrent conditional random field for language understanding
Context-Based Chinese Word Segmentation using SVM Machine-Learning Algorithm without Dictionary Support
Dependency-based Gated Recursive Neural Network for Chinese Word Segmentation
Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields
Analyzing Sequence Data Based on Conditional Random Fields with Co-training
Effective Neural Solution for Multi-Criteria Word Segmentation
The CIPS-SIGHAN CLP2010 Chinese Word Segmentation Backoff
Efficient, Feature-based, Conditional Random Field Parsing
Applying Conditional Random Fields To Japanese Morphological Analysis
Training Conditional Random Fields Using Incomplete Annotations
Efficient Second-Order Gradient Boosting for Conditional Random Fields
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
Accelerated training of conditional random fields with stochastic gradient methods
Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation
Regularized Structured Perceptron: A Case Study on Chinese Word Segmentation, POS Tagging and Parsing
Empirical Study of Unsupervised Chinese Word Segmentation Methods for SMT on Large-scale Corpora
The contribution of office work to sedentary behaviour associated risk
FigureQA: An Annotated Figure Dataset for Visual Reasoning
A framework for query refinement with user feedback
A Maximum Entropy Approach To Natural Language Processing
Bugram: bug detection with n-gram language models