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Google Research/ Microsoft/ UMASS CIIR. Research Interests: Information Retrieval, NLP, Machine Learning.
LDAGibbsSampling. Open Source Package for Gibbs Sampling of LDA
233NeuralResponseRanking. Data and Code on Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems (SIGIR 2018)
71DataMiningCluster. Implementation of text clustering algorithms including K-means, MBSAS, DBSCAN.
44aNMM-CIKM16. Implementation of Attention-Based Neural Matching Model Proposed in CIKM16 for Answer Sentence Selection
42DataMiningClassifier. A text classifier based on Decision Trees ID3, Naive Bayes and KNN algorithm in C++ and JAVA.
40HybridNCM. Code on A Hybrid Retrieval-Generation Neural Conversation Model (CIKM 2019)
22DataMiningFPMining. Implement frequent pattern mining algorithm such as Apriori and FP-Growth.
12Intent-Aware-Ranking-Transformers. Code on IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems (WWW 2020)
11TopicExpertiseModel. Java implementation of Gibbs sampling for Topic Expertise Model published in CIKM'13
11PLSAEMyl. Implementation of PLSA model using EM inference algorithm
9NLPForumPostOTE. Code for extraction of opinions, targets and relations from online discussion posts.
5reinforce_py. Reinforcement Learning in Python
2Dialogue. Python
1irgan. IRGAN SIGIR paper experimental code
1Coursera-ML-AndrewNg-Notes. 吴恩达老师的机器学习课程个人笔记
1bert_hae. BERT with History Answer Embedding for Conversational Question Answering
1ranking. Learning to Rank in TensorFlow
1mt-dnn. Multi-Task Deep Neural Networks for Natural Language Understanding
1UserIntentPrediction. User Intent Prediction in Information-seeking Conversations
1Attention_to_Diff_Simi. Python
1d2l-zh. 《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。
1seq2seq. A general-purpose encoder-decoder framework for Tensorflow
1UMassAICourseSudoku. Java
1data-science-ipython-notebooks. Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
1Answer_Selection. Python
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