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An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation

WS 2016 jhlau/doc2vec

Recently, Le and Mikolov (2014) proposed doc2vec as an extension to word2vec (Mikolov et al., 2013a) to learn document-level embeddings.

DOCUMENT EMBEDDING DOCUMENT-LEVEL WORD EMBEDDINGS

Document Embedding with Paragraph Vectors

29 Jul 2015inejc/paragraph-vectors

Paragraph Vectors has been recently proposed as an unsupervised method for learning distributed representations for pieces of texts.

DOCUMENT EMBEDDING SENTIMENT ANALYSIS WORD EMBEDDINGS

Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks

ACL 2020 CRIPAC-DIG/TextING

We first build individual graphs for each document and then use GNN to learn the fine-grained word representations based on their local structures, which can also effectively produce embeddings for unseen words in the new document.

CLASSIFICATION DOCUMENT EMBEDDING TEXT CLASSIFICATION

Neural Document Embeddings for Intensive Care Patient Mortality Prediction

1 Dec 2016cmasch/cnn-text-classification

We present an automatic mortality prediction scheme based on the unstructured textual content of clinical notes.

DOCUMENT EMBEDDING MORTALITY PREDICTION

Word Mover's Embedding: From Word2Vec to Document Embedding

EMNLP 2018 IBM/WordMoversEmbeddings

While the celebrated Word2Vec technique yields semantically rich representations for individual words, there has been relatively less success in extending to generate unsupervised sentences or documents embeddings.

CLASSIFICATION DOCUMENT EMBEDDING SENTENCE EMBEDDING TEXT CLASSIFICATION WORD EMBEDDINGS

Sentiment Classification Using Document Embeddings Trained with Cosine Similarity

ACL 2019 tanthongtan/dv-cosine

In document-level sentiment classification, each document must be mapped to a fixed length vector.

 Ranked #1 on Sentiment Analysis on IMDb (using extra training data)

CLASSIFICATION DOCUMENT EMBEDDING DOCUMENT-LEVEL SENTIMENT ANALYSIS

Crosslingual Document Embedding as Reduced-Rank Ridge Regression

8 Apr 2019epfl-dlab/Cr5

Finally, although not trained for embedding sentences and words, it also achieves competitive performance on crosslingual sentence and word retrieval tasks.

DOCUMENT EMBEDDING DOCUMENT-LEVEL

Learning Outside the Box: Discourse-level Features Improve Metaphor Identification

NAACL 2019 jayelm/broader-metaphor

Most current approaches to metaphor identification use restricted linguistic contexts, e. g. by considering only a verb's arguments or the sentence containing a phrase.

DOCUMENT EMBEDDING

Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification

4 Jan 2020AlexMRuch/Can-x2vec-Save-Lives

Visualizing graph embeddings annotated with predictions of potentially suicidal individuals shows the integrated model could classify such individuals even if they are positioned far from the support group.

ACTION CLASSIFICATION ACTIVITY PREDICTION CLASSIFICATION DOCUMENT EMBEDDING FEATURE ENGINEERING GRAPH EMBEDDING