Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:42:29.987592Z
Paper Citation Record · LEDGER
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification
As of 16 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:1908.02579.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
23 of 23 outbound references displayed
- verified exact1
- verified fuzzy19
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f4578b5d-b127-4645-8bf7-fe7f651d4075 · outbound
This paper cites Recent Trends in Deep Learning Based Natural Language Processing [Review Article].
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.357195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b224f0a8-645c-40be-8db9-65dd3dc26f31 · outbound
This paper cites an unresolved cited work.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:42:30.343248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2a0e6faa-6975-4b93-8e51-81182ed5649b · outbound
This paper cites Efficient Estimation of Word Representations in Vector Space.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Efficient Estimation of Word Representations in Vector Space
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:42:29.895297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2348f08-d4ff-4d36-99c6-4cd50f7bf6f5 · outbound
This paper cites Glove: Global Vectors for Word Representation.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Glove: Global Vectors for Word Representation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.328771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation be5feca4-a3cf-45b6-b52e-35da60ce324c · outbound
This paper cites Distributed Representations of Sentences and Documents.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Distributed Representations of Sentences and Documents
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.313914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6d2f7681-c8c4-4d1b-9c1b-3b77e7ee740e · outbound
This paper cites AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.298938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 730a295a-b6ce-4016-9dd8-daadad363d47 · outbound
This paper cites A Survey on Transfer Learning.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification A Survey on Transfer Learning
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.284764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ab99c24b-1c50-45e7-b914-2c7b1b3aed6c · outbound
This paper cites Supervised Fine Tuning for Word Embedding with Integrated Knowledge.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Supervised Fine Tuning for Word Embedding with Integrated Knowledge
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T14:42:30.030549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7e7f694a-6fe4-4380-9b70-d7219694060f · outbound
This paper cites Re-embeddingWords.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Re-embeddingWords
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.269920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 67e1cea4-9889-4639-8cb6-961d60973903 · outbound
This paper cites Adjusting Word Embeddings by Deep Neural Networks.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Adjusting Word Embeddings by Deep Neural Networks
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.254550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 75073e33-6417-4670-b5ec-6e01252a1d30 · outbound
This paper cites Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.240598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b6b0e117-30f2-4431-b8f4-fef4d194a75c · outbound
This paper cites Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.226487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 305bec0b-3ac5-4d2d-ba70-e43361040f6c · outbound
This paper cites an unresolved cited work.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:42:30.212082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 01f665c1-43df-416a-b9bc-1b0197a6dd1b · outbound
This paper cites PPDB: The Paraphrase Database.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification PPDB: The Paraphrase Database
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.197929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d9bdcef5-86cf-4d95-9dcc-8ae901d57a22 · outbound
This paper cites Long Short-Term Memory.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Long Short-Term Memory
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.183651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8d5006f5-fd19-40c6-8d80-d82e7acab20e · outbound
This paper cites Emotional Tone Detection in Arabic Tweets.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Emotional Tone Detection in Arabic Tweets
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.169602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cdc59a07-d204-47d6-99c2-187e957c976e · outbound
This paper cites Tackling the Poor Assumptions of Naive Bayes Text Classifiers.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Tackling the Poor Assumptions of Naive Bayes Text Classifiers
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.155122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 542d0d3b-42ab-420b-995b-86c5359ce9e3 · outbound
This paper cites Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.138240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3153843d-88fd-45ea-a546-3f73d3c2e117 · outbound
This paper cites Convolutional Neural Networks for Sentence Classification.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Convolutional Neural Networks for Sentence Classification
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.120979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3de64a05-959c-4751-9398-47b192ce5296 · outbound
This paper cites A Convolutional Neural Network for Modelling Sentences.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification A Convolutional Neural Network for Modelling Sentences
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.107024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 09f24f50-65e8-47c8-aa78-00edaa9d0eff · outbound
This paper cites Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.093361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a27e5392-830f-4659-8c42-e59fb6f4721b · outbound
This paper cites NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.078889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 52e92b81-45a1-4a71-bb74-41c5a0d57b10 · outbound
This paper cites SemEval-2018 Task 1: Affect in Tweets.
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text Classification SemEval-2018 Task 1: Affect in Tweets
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:42:30.064163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.