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Paper Citation Record · LEDGER

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings

As of 17 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2606.10716.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.10716 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

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measured 57 of 57 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

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  • unresolved51
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Outbound references

Observation 9ff52831-9c1c-408e-a241-b23e1a732b1d · outbound

This paper cites A study on automatically extracted keywords in text categorization.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings A study on automatically extracted keywords in text categorization

Reference 1

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Observation 9ae845df-8fcd-4b71-b0b4-016f149eee89 · outbound

This paper cites Corephrase: Keyphrase extraction for document clustering.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Corephrase: Keyphrase extraction for document clustering

Reference 2

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Observation 67043777-614c-4009-8d04-0da8f52e3402 · outbound

This paper cites Citation summarization through keyphrase extraction.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Citation summarization through keyphrase extraction

Reference 3

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Observation f121c3d9-6ccc-4176-a27a-825375029629 · outbound

This paper cites World wide web site summarization.Web Intelligence and Agent Systems: An International Journal, 2(1):39–53, 2004.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings World wide web site summarization.Web Intelligence and Agent Systems: An International Journal, 2(1):39–53, 2004

Reference 4

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Observation f00907a1-0fe8-4e7c-8ffb-697cdba7e84c · outbound

This paper cites Improving browsing in digital libraries with keyphrase indexes.Decision Support Systems, 27(1-2):81–104, 1999.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Improving browsing in digital libraries with keyphrase indexes.Decision Support Systems, 27(1-2):81–104, 1999

Reference 5

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Observation 576e6839-a7de-4573-acdd-b42619cb5a29 · outbound

This paper cites Keyphrase extraction-based query expansion in digital libraries.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Keyphrase extraction-based query expansion in digital libraries

Reference 6

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Observation 21c04e43-61a3-4331-b764-fc8ac6b8890c · outbound

This paper cites Phrasier: a system for interactive document retrieval using keyphrases.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Phrasier: a system for interactive document retrieval using keyphrases

Reference 7

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Observation 53b19bfa-2cea-4f6d-8027-678bf6c84d39 · outbound

This paper cites From fundamentals to recent advances: A tutorial on keyphrasi- fication.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings From fundamentals to recent advances: A tutorial on keyphrasi- fication

Reference 8

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Observation 76533914-cde5-4a79-bf26-25b1de53aa0d · outbound

This paper cites Automatic keyphrase extraction using graph- based methods.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Automatic keyphrase extraction using graph- based methods

Reference 9

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Observation 7c5cb334-8d4a-4832-84e2-ab1ad73f20ea · outbound

This paper cites A comparison of centrality measures for graph-based keyphrase extraction.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings A comparison of centrality measures for graph-based keyphrase extraction

Reference 10

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Observation 7d24cc27-5513-42c5-909d-05ee9564df46 · outbound

This paper cites Automatic keyphrase extraction: A survey of the state of the art.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Automatic keyphrase extraction: A survey of the state of the art

Reference 11

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Observation d32bc3a9-c77f-43b7-ad57-684ca50a4d88 · outbound

This paper cites Efficient estimation of word representations in vector space, 2013.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Efficient estimation of word representations in vector space, 2013

Reference 12

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Observation a326d0cc-19ae-4e42-980c-150d6921dab8 · outbound

This paper cites GloVe: Global vectors for word representation.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings GloVe: Global vectors for word representation

Reference 13

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Observation 81d6d812-a40c-45dc-8d13-8b4a1d7b6787 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding, 2018.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Bert: Pre-training of deep bidirectional transformers for language understanding, 2018

Reference 14

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Observation 3991e2b9-eceb-4700-a73e-f34c06f9fb06 · outbound

This paper cites Keyphrase extraction as sequence labeling using contextualized embeddings.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Keyphrase extraction as sequence labeling using contextualized embeddings

Reference 15

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Observation 1788a1b0-7603-44f0-9016-770f59be0105 · outbound

This paper cites Learning rich representation of keyphrases from text.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Learning rich representation of keyphrases from text

Reference 16

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Observation 7e81efa3-544b-414d-a10e-cd5274164551 · outbound

This paper cites Scientific keyphrase identification and classification by pre-trained language models intermediate task transfer learning.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Scientific keyphrase identification and classification by pre-trained language models intermediate task transfer learning

Reference 17

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Observation 7801c281-4e8c-43f5-8191-7a41910e73e2 · outbound

This paper cites Longformer: The Long-Document Transformer.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Longformer: The Long-Document Transformer

Reference 18

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Observation e8ae9fd8-5fa7-40d4-90a3-b4a474912fc9 · outbound

This paper cites Big bird: Transformers for longer sequences.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Big bird: Transformers for longer sequences

Reference 19

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Observation 8c801c11-5a5b-4027-9732-08988d57b2d0 · outbound

This paper cites Smarter, better, faster, longer: A modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference, 2024.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Smarter, better, faster, longer: A modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference, 2024

Reference 20

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Observation 5d71e78e-eed9-4f3e-b9df-18a2fbc74d68 · outbound

This paper cites Farrar, Straus and Giroux, New York, 2011.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Farrar, Straus and Giroux, New York, 2011

Reference 21

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Observation 44cd9cae-2095-481b-8c8e-d1e062e77ac8 · outbound

This paper cites Do artificial intelligence systems understand?Claridades.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Do artificial intelligence systems understand?Claridades

Reference 22

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Observation a8a64fb7-0ba3-4c2c-aac7-92880d3b658e · outbound

This paper cites López-López, and José Portela.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings López-López, and José Portela

Reference 23

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Observation 48860e3c-ca97-463b-a57b-09d1f6d1c249 · outbound

This paper cites LongKey: Keyphrase Extraction for Long Documents.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings LongKey: Keyphrase Extraction for Long Documents

Reference 24

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Observation f73eec8b-b1a4-4103-b3b4-eaa5d7b8dd51 · outbound

This paper cites MAPEX: A multi-agent pipeline for keyphrase extraction, 2025.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings MAPEX: A multi-agent pipeline for keyphrase extraction, 2025

Reference 25

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Observation d19e65e1-1704-458b-9c05-d11fedd8bab1 · outbound

This paper cites TextRank: Bringing order into text.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings TextRank: Bringing order into text

Reference 26

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Observation 24729dec-bb56-4834-b2c7-2dc4012f952b · outbound

This paper cites TopicRank: Graph-based topic ranking for keyphrase extraction.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings TopicRank: Graph-based topic ranking for keyphrase extraction

Reference 27

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Observation 4900993e-44ae-4262-b7b4-15ac5b99aec0 · outbound

This paper cites Corpus-independent generic keyphrase extraction using word embedding vectors.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Corpus-independent generic keyphrase extraction using word embedding vectors

Reference 28

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Observation 788c1e2c-c51f-4675-8500-60073b0dbe7e · outbound

This paper cites Key2vec: Automatic ranked keyphrase extraction from scientific articles using phrase embeddings.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Key2vec: Automatic ranked keyphrase extraction from scientific articles using phrase embeddings

Reference 29

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Observation 483c20bb-6bc2-45b5-9da9-acfd3e35bed9 · outbound

This paper cites Theme-weighted ranking of keywords from text documents using phrase embeddings.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Theme-weighted ranking of keywords from text documents using phrase embeddings

Reference 30

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Observation 037924a9-f77b-466f-a622-fe67e37b0df4 · outbound

This paper cites Simple Unsupervised Keyphrase Extraction using Sentence Embeddings.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Reference 31

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Observation 31d87aec-0c66-437d-831a-3a791f81e530 · outbound

This paper cites PatternRank: Leveraging pretrained language models and part of speech for unsupervised keyphrase extraction.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings PatternRank: Leveraging pretrained language models and part of speech for unsupervised keyphrase extraction

Reference 32

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This paper cites PromptRank: Unsupervised Keyphrase Extraction Using Prompt.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings PromptRank: Unsupervised Keyphrase Extraction Using Prompt

Reference 33

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This paper cites Incorporating expert knowledge into keyphrase extraction.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Incorporating expert knowledge into keyphrase extraction

Reference 34

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Observation 7821769c-feca-442f-9c22-63dd7a02135c · outbound

This paper cites Lee Giles.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Lee Giles

Reference 35

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Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Unresolved cited work

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Observation e69cf955-79ae-489c-afb4-c5833339c19d · outbound

This paper cites Exploring word embeddings in crf-based keyphrase extraction from research papers.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Exploring word embeddings in crf-based keyphrase extraction from research papers

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Observation 3e7247ca-e5c4-41e7-8aa0-c8c37c707f57 · outbound

This paper cites Transkp: Transformer based key-phrase extraction.2020 International Joint Conference on Neural Networks (IJCNN), pages 1–7, 2020.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Transkp: Transformer based key-phrase extraction.2020 International Joint Conference on Neural Networks (IJCNN), pages 1–7, 2020

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Observation 200ed3f6-8c11-4b64-af23-5476a202e3a6 · outbound

This paper cites TNT-KID: Transformer-based neural tagger for keyword identifica- tion.Natural Language Engineering, 28(4):409–448, jun 2021.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings TNT-KID: Transformer-based neural tagger for keyword identifica- tion.Natural Language Engineering, 28(4):409–448, jun 2021

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Observation 6556f75b-e4a3-40d1-8b70-3904ff40e2e0 · outbound

This paper cites SciBERT: A pretrained language model for scientific text.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings SciBERT: A pretrained language model for scientific text

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Observation 8806622c-6c66-48b4-a4a0-849b19d05083 · outbound

This paper cites LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents

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Observation 9a8efecb-ef85-445c-9e6d-f03e746fd812 · outbound

This paper cites Keyphrase generation beyond the boundaries of title and abstract, 2022.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Keyphrase generation beyond the boundaries of title and abstract, 2022

Reference 43

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Observation fb157dd1-d652-447d-a601-5baa8e1dad7a · outbound

This paper cites Query-based keyphrase extraction from long documents.The International FLAIRS Conference Proceedings, 35, may 2022.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Query-based keyphrase extraction from long documents.The International FLAIRS Conference Proceedings, 35, may 2022

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Observation a69e9bac-85b3-45a9-99d5-cb70ce26f133 · outbound

This paper cites UFORank: Unified framework of unsupervised keyphrase extraction for long documents.IEEE Access, 14:9986–10001, 2026.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings UFORank: Unified framework of unsupervised keyphrase extraction for long documents.IEEE Access, 14:9986–10001, 2026

Reference 45

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Observation 1799b7a5-5c06-4a65-ba64-8ca8a6217ed1 · outbound

This paper cites López-López, and José Portela.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings López-López, and José Portela

Reference 46

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Observation e22736e8-d478-4e85-80d6-02e87ac6765e · outbound

This paper cites Empirical study of zero-shot keyphrase extraction with large language models.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Empirical study of zero-shot keyphrase extraction with large language models

Reference 47

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Observation 903a775b-bb66-4826-91b9-d6d4b72780a0 · outbound

This paper cites LongDocRank: Graph-augmented large language models for unsupervised keyphrase extraction from long documents.Journal of Big Data, 13(14), 2026.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings LongDocRank: Graph-augmented large language models for unsupervised keyphrase extraction from long documents.Journal of Big Data, 13(14), 2026

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source=pdf_text observed=2026-06-27T13:06:33.942003Z digest=sha256:e5f6d37f27d75b71d9fd78e14ef2b886679cf39b0ab1d63f6c10fabd88fd0ddf

Observation 94f859e0-ff93-4d00-8894-af66f909222c · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Gomez, Lukasz Kaiser, and Illia Polosukhin

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source=pdf_text observed=2026-06-27T13:06:33.942003Z digest=sha256:103200f3433c5359ee56173d25d23e4c3c9f7665c73aadb4f8451112028b118f

Observation 87efe9a2-02b8-4749-b524-e9a4fece7997 · outbound

This paper cites Semeval-2010 task 5: Automatic keyphrase extraction from scientific articles.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Semeval-2010 task 5: Automatic keyphrase extraction from scientific articles

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source=pdf_text observed=2026-06-27T13:06:33.942003Z digest=sha256:59b167dab0e554506fd4c944bc7fa761d6013436c7c08af64a663cf272dc79be

Observation 369571a4-cbd4-4fcc-9e49-c3a069aeb868 · outbound

This paper cites Keyphrase extraction in scientific publications.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Keyphrase extraction in scientific publications

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source=pdf_text observed=2026-06-27T13:06:33.942003Z digest=sha256:cf079591bb6a17e7676848fa89c2e64e1dd670e81747d264e3649c246bd6c99c

Observation 49eaf635-8317-4fe9-aacb-0bdb26e93ed2 · outbound

This paper cites Single document keyphrase extraction using neighborhood knowledge.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Single document keyphrase extraction using neighborhood knowledge

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Observation a8dc951f-b759-43c4-9f03-be40bbc8a0ed · outbound

This paper cites Improved automatic keyword extraction given more linguistic knowledge.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Improved automatic keyword extraction given more linguistic knowledge

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source=pdf_text observed=2026-06-27T13:06:33.942003Z digest=sha256:746cb999c1d743e51afc67ebfb3af3d854b7f73df75bc7dbef5da53713cae4bf

Observation e1558163-2c31-466e-9ac2-43822b00d72c · outbound

This paper cites an unresolved cited work.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Unresolved cited work

Reference 54

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source=pdf_text observed=2026-06-27T13:06:33.942003Z digest=sha256:886d14b401fdff2a1bacc0dc1e4ad74e1768a1e1f589caf4e73c9ac9e6d63d40

Observation 368c425a-455c-4071-a1be-8c7417099001 · outbound

This paper cites S2ORC: The Semantic Scholar Open Research Corpus.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings S2ORC: The Semantic Scholar Open Research Corpus

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arxiv_id, observed 2026-07-03T05:47:41.151281Z

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source=pdf_text observed=2026-06-27T13:06:33.942003Z digest=sha256:ce658d6ab806708c922d6ad4b8500a52f80406104f3d1dde91cd55887eb54666

Observation c284882f-dcd1-48d0-a283-3bdb43f5c663 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter, 2019.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter, 2019

Reference 56

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source=pdf_text observed=2026-06-27T13:06:33.942003Z digest=sha256:3875e2e2ce4fa34ed52022d388e74a09f144995f1d05a93bbf7b12869964adb3

Observation dedbf23f-3dd2-4e27-a9f5-b6f82c6919f6 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-style pre- training with gradient-disentangled embedding sharing.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings DeBERTaV3: Improving DeBERTa using ELECTRA-style pre- training with gradient-disentangled embedding sharing

Reference 57

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Observation f6e7a03e-0dd6-4646-863b-f900619bc1a2 · outbound

This paper cites Model2Vec: Fast state-of-the-art static embeddings.

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings Model2Vec: Fast state-of-the-art static embeddings

Reference 58

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Pith citing papers

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