Document Embedding

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

25 shown of 25 papers with code (78 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Document Embedding with Paragraph Vectors
  29 Jul 2015 5 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Paragraph Vectors has been recently proposed as an unsupervised method for learning distributed representations for pieces of texts.
• An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation
  19 Jul 2016 4 repositories listed
  Recently, Le and Mikolov (2014) proposed doc2vec as an extension to word2vec (Mikolov et al., 2013a) to learn document-level embeddings.
• BERTopic: Neural topic modeling with a class-based TF-IDF procedure
  11 Mar 2022 3 repositories listed Syntology ran 1 of 8 samples · 7 unverified
  BERTopic generates coherent topics and remains competitive across a variety of benchmarks involving classical models and those that follow the more recent clustering approach of topic modeling.
• Sentiment Classification Using Document Embeddings Trained with Cosine Similarity
  1 Jul 2019 2 repositories listed
  In document-level sentiment classification, each document must be mapped to a fixed length vector.
• QAEncoder: Towards Aligned Representation Learning in Question Answering System
  30 Sep 2024 1 repository listed
  Modern QA systems entail retrieval-augmented generation (RAG) for accurate and trustworthy responses.
• ARAGOG: Advanced RAG Output Grading
  1 Apr 2024 1 repository listed
  Sentence Window Retrieval emerged as the most effective for retrieval precision, despite its variable performance on answer similarity.
• HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification
  26 Mar 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Existing self-supervised methods in natural language processing (NLP), especially hierarchical text classification (HTC), mainly focus on self-supervised contrastive learning, extremely relying on human-designed…
• Facilitating Interdisciplinary Knowledge Transfer with Research Paper Recommender Systems
  26 Sep 2023 1 repository listed
  In the extensive recommender systems literature, novelty and diversity have been identified as key properties of useful recommendations.
• Approach to Predicting News -- A Precise Multi-LSTM Network With BERT
  26 Apr 2022 1 repository listed
  According to the V-Dem annual democracy report 2019, Taiwan is one of the two countries that got disseminated false information from foreign governments the most.
• Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
  14 Feb 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Learning scientific document representations can be substantially improved through contrastive learning objectives, where the challenge lies in creating positive and negative training samples that encode the desired…
• CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking
  16 Dec 2021 1 repository listed
  Contrastive learning has been the dominant approach to training dense retrieval models.
• MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction
  13 Oct 2021 1 repository listed
  In this work, we propose a novel unsupervised embedding-based KPE approach, Masked Document Embedding Rank (MDERank), to address this problem by leveraging a mask strategy and ranking candidates by the similarity…
• Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context
  15 Sep 2021 1 repository listed
  In terms of the local view, we first build a graph structure based on the document where phrases are regarded as vertices and the edges are similarities between vertices.
• Multifaceted Domain-Specific Document Embeddings
  1 Jun 2021 1 repository listed
  Current document embeddings require large training corpora but fail to learn high-quality representations when confronted with a small number of domain-specific documents and rare terms.
• Unsupervised Document Embedding via Contrastive Augmentation
  26 Mar 2021 1 repository listed
  We present a contrasting learning approach with data augmentation techniques to learn document representations in an unsupervised manner.
• SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling
  13 May 2020 1 repository listed
  Canonical automatic summary evaluation metrics, such as ROUGE, focus on lexical similarity which cannot well capture semantics nor linguistic quality and require a reference summary which is costly to obtain.
• Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks
  22 Apr 2020 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  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…
• Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification
  4 Jan 2020 1 repository listed
  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.
• STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings
  16 Jul 2019 1 repository listed
  Our method creates an extractive summary by selecting the sentences with the closest embeddings to the document embedding.
• Unsupervised Learning of Discourse-Aware Text Representation for Essay Scoring
  1 Jul 2019 1 repository listed
  Existing document embedding approaches mainly focus on capturing sequences of words in documents.
• Crosslingual Document Embedding as Reduced-Rank Ridge Regression
  8 Apr 2019 1 repository listed
  Finally, although not trained for embedding sentences and words, it also achieves competitive performance on crosslingual sentence and word retrieval tasks.
• Learning Outside the Box: Discourse-level Features Improve Metaphor Identification
  3 Apr 2019 1 repository listed
  Most current approaches to metaphor identification use restricted linguistic contexts, e.
• Word Mover's Embedding: From Word2Vec to Document Embedding
  30 Oct 2018 1 repository listed
  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.
• hyperdoc2vec: Distributed Representations of Hypertext Documents
  10 May 2018 1 repository listed
  Hypertext documents, such as web pages and academic papers, are of great importance in delivering information in our daily life.
• Neural Document Embeddings for Intensive Care Patient Mortality Prediction
  1 Dec 2016 1 repository listed
  We present an automatic mortality prediction scheme based on the unstructured textual content of clinical notes.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.