Review: Distributed Representations of Sentences and Documents (Doc2Vec)

Paragraph Vectors Obtained Using PV-DM and PV-DBOW

Outline

1. Conventional Approach for Learning Vector Representation of Words

Conventional Approach for Learning Vector Representation of Words

2. Distributed Memory Model of Paragraph Vectors (PV-DM)

Distributed Memory Model of Paragraph Vectors (PV-DM)

3. Distributed Bag of Words version of Paragraph Vector (PV-DBOW)

3.1. PV-DBOW

Distributed Bag of Words version of Paragraph Vector (PV-DBOW)

3.2. PV-DM + PV-DBOW

4. Experimental Results

4.1. Stanford Sentiment Treebank Dataset

4.1.1. Dataset

4.1.2. Training

4.1.3. Results

The performance of our method compared to other approaches on the Stanford Sentiment Treebank dataset

4.2. IMDB Dataset

4.2.1. Dataset

4.2.2. Training

The performance of Paragraph Vector compared to other approaches on the IMDB dataset

4.3. Information Retrieval with Paragraph Vectors

4.3.1. Dataset

4.3.2. Results

The performance of Paragraph Vector and bag-of-words models on the information retrieval task

Reference

Natural Language Processing

My Other Previous Paper Readings

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