Word and Document Embeddings based on Neural Network Approaches

no code implementations • 18 Nov 2016 • Siwei Lai

In our experiments, we analyze three key points in generating word embeddings, including the model construction, the training corpus and parameter design.

Feature Engineering Part-Of-Speech Tagging +1

How to Generate a Good Word Embedding?

2 code implementations • 20 Jul 2015 • Siwei Lai, Kang Liu, Liheng Xu, Jun Zhao

We analyze three critical components of word embedding training: the model, the corpus, and the training parameters.

Word Embeddings

Recurrent Convolutional Neural Networks for Text Classification

1 code implementation • Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence 2015 • Siwei Lai, Liheng Xu, Kang Liu, Jun Zhao

The experimental results show that the proposed method outperforms the state-of-the-art methods on several datasets, particularly on document-level datasets.

Emotion Recognition in Conversation text-classification +1

Relation Classification via Convolutional Deep Neural Network

2 code implementations • COLING 2014 • Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, Jun Zhao

Classification General Classification +1

Product Feature Mining: Semantic Clues versus Syntactic Constituents

no code implementations • ACL 2014 • Liheng Xu, Kang Liu, Siwei Lai, Jun Zhao

Opinion Mining Semantic Textual Similarity +1

Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge

no code implementations • IJCNLP 2013 • Yang Liu, Fang Liu, Siwei Lai, Kang Liu, Guangyou Zhou, Jun Zhao

Relation Extraction

Mining Opinion Words and Opinion Targets in a Two-Stage Framework

no code implementations • ACL 2013 • Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen, Jun Zhao

Opinion Mining