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Paper Citation Record · LEDGER

Extracting Aspects Hierarchies using Rhetorical Structure Theory

As of 19 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:1909.01800.

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

pith.paper-citation-record.v1
1909.01800 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:11:21.834473Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae1e4f83-24b7-4092-b312-b3540e049428 · outbound

This paper cites Method for aspect-based sentiment annotation using rhetorical analysis.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Method for aspect-based sentiment annotation using rhetorical analysis

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.211094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.723646Z digest=sha256:235c94ebe162eb2bf9a4e9c40bbf8990fc0cdc51104b58c21b7c9b6bffd81f3d

Observation 915bedf8-ab2a-4b45-b2bd-7e2c13f72aaf · outbound

This paper cites A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations.

Extracting Aspects Hierarchies using Rhetorical Structure Theory A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.196596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.728869Z digest=sha256:7bac36e4d9ac5aa87c7edd169c6ee4b2779940f633064aa51ab35fa0c58480ad

Observation af0db1ba-fc45-4c7b-ba01-2c80de176c1e · outbound

This paper cites Discourse indicators for content selection in summarization.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Discourse indicators for content selection in summarization

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.181583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.733586Z digest=sha256:4db97e3c30f2e7071447cfc64fbe6d0fb02f91222510a99856a12954e579ea86

Observation c522f727-d8a7-4065-89c6-7d95a540014c · outbound

This paper cites Using Discourse Structure Improves Ma- chine Translation Evaluation.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Using Discourse Structure Improves Ma- chine Translation Evaluation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.166555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.738082Z digest=sha256:950a71fbd25d7eefe89984cdd355e6ef2b052460fe80b8dff4d6ab8cb1dc0a4c

Observation 168cd691-a7e8-4ae1-8441-dfcecb6e3ef3 · outbound

This paper cites an unresolved cited work.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:11:22.152097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.743835Z digest=sha256:d37b2cc255d8407d34e54fdfba85cb7173a7261d0b7ef89234055f96a8f2a3db

Observation fed5bd03-c6f1-41e0-93d9-808b9f507c30 · outbound

This paper cites D-STAG: A formalism for discourse analysis based on SDRT and using synchronous TAG.

Extracting Aspects Hierarchies using Rhetorical Structure Theory D-STAG: A formalism for discourse analysis based on SDRT and using synchronous TAG

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.138000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.748454Z digest=sha256:15c5d8dae575c2d2909a273b8a3a98ee4913879176cddecb8b6846fcb6153786

Observation d0a7262e-399d-47c2-8532-36090a0183fc · outbound

This paper cites Rhetorical structure theory: Toward a functional theory of text organization.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Rhetorical structure theory: Toward a functional theory of text organization

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.122503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.753406Z digest=sha256:860500007e6d8ce766394b9e5e04fc04de03c1398c4125dcb7e04080681efc9d

Observation 280caff5-0659-4a25-9e45-b9fefac8f4ce · outbound

This paper cites Discourse markers as signals (or not) of rhetorical relations.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Discourse markers as signals (or not) of rhetorical relations

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.107683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.758012Z digest=sha256:3a26e2cc55a280131fa94fe17dcffb28166069811ff7790e7c131d7b5b34d7df

Observation ed4fd060-410e-496f-8c5b-cadef8aa1c65 · outbound

This paper cites A hierarchical aspect-sentiment model for online reviews.

Extracting Aspects Hierarchies using Rhetorical Structure Theory A hierarchical aspect-sentiment model for online reviews

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.093383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.763281Z digest=sha256:906ab094493a9b81368179935dbdd07e85f37a7b995bc9c26a6aa3f0205e5db9

Observation 8f6253eb-ea5e-4976-b1d9-10a6d7d745f8 · outbound

This paper cites Sentiment learning on product reviews via sentiment ontology tree.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Sentiment learning on product reviews via sentiment ontology tree

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.080065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.768592Z digest=sha256:493456381cc0cce322586cc8c241bcc5a0595de366c3789a8d19d8a8b6f5976f

Observation d359c2f9-0210-4a15-b16d-eb64cd14c347 · outbound

This paper cites Aspect Extraction for Opinion Mining with a Deep Convolutional Neural Network.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Aspect Extraction for Opinion Mining with a Deep Convolutional Neural Network

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.066076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.774188Z digest=sha256:d99d9f6d830d5b7b843357a73ed2202a826f152bd9526b9c7f8ec60e73612d29

Observation d899c720-de3d-487e-a00b-cb69dc5dfccd · outbound

This paper cites Dependency tree-based rules for concept-level aspect-based sentiment analysis.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Dependency tree-based rules for concept-level aspect-based sentiment analysis

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.051079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.779432Z digest=sha256:983244c9b684faf73bef1bd59746348dee97ce3403ceece863762ca4d4585ac9

Observation 6878f8df-1cd5-4d21-b9cc-e8a75996a536 · outbound

This paper cites Dlirec: Aspect term extraction and term polarity classification system.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Dlirec: Aspect term extraction and term polarity classification system

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.037196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.784672Z digest=sha256:549ed0339d4cdf64405bde55e5ca97c363e9c9a8b84ddc82e27396ae18918114

Observation a6c4d667-1e16-4ad0-be8b-5fb531828aee · outbound

This paper cites an unresolved cited work.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:11:22.022679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.789104Z digest=sha256:fc910e714ab0c8264567de89dde3cda0922c1e83667c1f7c18e7ded4198aa7da

Observation 694b8520-5646-40d1-b52f-c1b4a6185ab7 · outbound

This paper cites Blei, Thomas L.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Blei, Thomas L

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:22.008475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.793542Z digest=sha256:5f4300fcda474e7f5982f1bd51bf24d7d19ac9622c39b32b737731bfe028f289

Observation b9c0335e-99df-4bbd-8efb-c9aabb99a170 · outbound

This paper cites Modeling topic hierarchies with the recursive chinese restaurant process.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Modeling topic hierarchies with the recursive chinese restaurant process

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:21.993581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.798235Z digest=sha256:dfc9f6dbc8d91c55b85afe348ec911450f7e52302bf4b7a216a2c84c67179597

Observation 3e5a5a4a-bb36-43f7-ac14-f94a72060633 · outbound

This paper cites an unresolved cited work.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:11:21.979051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.802692Z digest=sha256:cdf5b5cade1723b71b74968353c12a50c86e641616c235ebab86c1061f711984

Observation 2965558b-f42c-4376-bf13-d684e073018c · outbound

This paper cites SemEval- 2015 Task 12: Aspect Based Sentiment Analysis.

Extracting Aspects Hierarchies using Rhetorical Structure Theory SemEval- 2015 Task 12: Aspect Based Sentiment Analysis

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:21.964382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.807362Z digest=sha256:80272a11bdf2104eabc38892cd34310e99e3e1e23d839b47e636bae37fadd1ff

Observation bf2e65ac-8816-43a9-b179-4ec6b1f316a2 · outbound

This paper cites All maximal independent sets and dynamic dominance for sparse graphs.

Extracting Aspects Hierarchies using Rhetorical Structure Theory All maximal independent sets and dynamic dominance for sparse graphs

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:21.947334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.811891Z digest=sha256:ca2511223f6e97b475dd6be2b988f02e0e6e877d4b928f905229ea04bc1df0b3

Observation e3ae9c2e-83c3-4f0e-a02c-bc46b776ea61 · outbound

This paper cites Two-pass Discourse Segmentation with Pairing and Global Features.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Two-pass Discourse Segmentation with Pairing and Global Features

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T05:11:21.816108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:11:21.816108Z digest=sha256:22e0080b2e604afd6b83ac0d4bcf7c84e15fc3a73ac49910c79eb7e7643d8914

Observation a29a3086-7177-49bc-b476-f712af376c55 · outbound

This paper cites Ups and Downs: : Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Ups and Downs: : Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:21.931986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.821317Z digest=sha256:8182ad8fa3b74b6893c17e5d0ea559dbe85a361f48fc42cd3135b06ce0333297

Observation 51a51c0f-33fc-434a-9440-830f898a2008 · outbound

This paper cites Ng, and Bita Nejat.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Ng, and Bita Nejat

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:21.916334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.825816Z digest=sha256:6f5f2b642091044b29d4f2db404665bcbd4418d8d73c264d298b90e993800fe6

Observation ec8138b7-e3bf-4ecb-b53b-aa8f3f3471ff · outbound

This paper cites Representing general relational knowledge in conceptnet 5.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Representing general relational knowledge in conceptnet 5

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:21.901426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.830126Z digest=sha256:e038e4cbedbce58560e525d09aabb2f771413f5c8d1b3be6eb1ad08013dd2476

Observation 15fa1dfe-8721-49a9-a2c6-7e4b4dee9a56 · outbound

This paper cites Sentiment Aggregation using ConceptNet Ontology.

Extracting Aspects Hierarchies using Rhetorical Structure Theory Sentiment Aggregation using ConceptNet Ontology

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:11:21.886146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:11:21.834473Z digest=sha256:a74654daa08eefff43e3f9a7f95b1e29d81f32b9b2177b77a8e28ab487dd9541

Pith citing papers

No inbound Pith citation observations are available.