| The (too many) problems of analogical reasoning with word vectors A Rogers, A Drozd, B Li Proceedings of the 6th joint conference on lexical and computational …, 2017 | 115 | 2017 |
| Ngram2vec: Learning improved word representations from ngram co-occurrence statistics Z Zhao, T Liu, S Li, B Li, X Du Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 81 | 2017 |
| Scaling word2vec on big corpus B Li, A Drozd, Y Guo, T Liu, S Matsuoka, X Du Data science and engineering 4, 157-175, 2019 | 70 | 2019 |
| Investigating different syntactic context types and context representations for learning word embeddings B Li, T Liu, Z Zhao, B Tang, A Drozd, A Rogers, X Du Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 44 | 2017 |
| Weighted neural bag-of-n-grams model: New baselines for text classification B Li, Z Zhao, T Liu, P Wang, X Du Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 38 | 2016 |
| Subword-level composition functions for learning word embeddings B Li, A Drozd, T Liu, X Du Proceedings of the second workshop on subword/character level models, 38-48, 2018 | 33 | 2018 |
| Neural bag-of-ngrams B Li, T Liu, Z Zhao, P Wang, X Du Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 32 | 2017 |
| Learning document embeddings by predicting n-grams for sentiment classification of long movie reviews B Li, T Liu, X Du, D Zhang, Z Zhao arXiv preprint arXiv:1512.08183, 2015 | 29 | 2015 |
| Subcharacter information in Japanese embeddings: When is it worth it? M Karpinska, B Li, A Rogers, A Drozd Proceedings of the Workshop on the Relevance of Linguistic Structure in …, 2018 | 24 | 2018 |
| YOJ: An online judge system designed for programming courses H Sun, B Li, M Jiao 2014 9th International Conference on Computer Science & Education, 812-816, 2014 | 19 | 2014 |
| Guiding the training of distributed text representation with supervised weighting scheme for sentiment analysis Z Zhao, T Liu, S Li, B Li, X Du Data Science and Engineering 2, 178-186, 2017 | 12 | 2017 |
| Cluster-driven model for improved word and text embedding Z Zhao, T Liu, B Li, X Du ECAI 2016, 99-106, 2016 | 7 | 2016 |
| Distributed text representation with weighting scheme guidance for sentiment analysis Z Zhao, T Liu, X Hou, B Li, X Du Web Technologies and Applications: 18th Asia-Pacific Web Conference, APWeb …, 2016 | 6 | 2016 |
| Attention-based recurrent neural network for sequence labeling B Li, T Liu, Z Zhao, X Du Web and Big Data: Second International Joint Conference, APWeb-WAIM 2018 …, 2018 | 5 | 2018 |
| Correction to: Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis. Z Zhao, T Liu, S Li, B Li, X Du Data Sci. Eng. 2 (4), 346, 2017 | 1 | 2017 |
| Scaling Word2Vec with Uniform Word Sampling B Li, A Drozd, S Matsuoka | | 2018 |
| Investigating Different Context Types and Representations for Learning Word Embeddings B Li, T Liu, Z Zhao, B Tang, X Du | | 2016 |
| A Text Retrieval System Based on Distributed Representations Z Zhao, T Liu, J Chen, B Li, X Du Web Technologies and Applications: 18th Asia-Pacific Web Conference, APWeb …, 2016 | | 2016 |
