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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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.723646Z digest=sha256:acb7042ffd3759bb71c8893ca6d8dce48504f9caa79e956338221afe709e7ff4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.728869Z digest=sha256:48b4ff04474157946ac3e4cd6e010904331ec28b34463d4d337a53458c99cc2b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.733586Z digest=sha256:042ea9dde22edd4f1803c1c327c5e4e9200b25408ab97ef3b94c20d73fb79c9f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.738082Z digest=sha256:d5cc7da8a93a9cea2652dd0c46f09a2a64b84c6c26369d8f788a05153ae80b64

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.743835Z digest=sha256:d87bb70bdcf4df9af5a5904049b1a4e9057b68920c742001aeb8a25bf37f8303

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.748454Z digest=sha256:08380786ed3db4b77b1fbd2e6fbe1fd0f92a8f1030a6ffb85abc0a66b7be36fa

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.753406Z digest=sha256:23e1c9c2a67f762b5ee165db8ca380348dd8485466ab5d8d7c3f9b79b0952fef

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.758012Z digest=sha256:304918104b478377752f75a1ade900400490256ce81aa967e682256c00303c13

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.763281Z digest=sha256:7e52f43da11dc6ecd79532a4f5b8d8ca40728b2706e4b078e4c8307e9661d770

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.768592Z digest=sha256:859152d4f2391f856a46a668abe0da70108d6718e6b9ff0e825c7df44f57d00f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.774188Z digest=sha256:2124dbcfb4d909782330142b2c5a88d0660989b4348617f69ab30f6e4b7b13b5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.779432Z digest=sha256:88257dc012a715d8ba83a95c68be16bb9e1b0de458df888365396fb76dadb4e9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.784672Z digest=sha256:22c3d3f71308686071ee34e64bb0467c38d131af8d5ba9b014a4c5a6b9148503

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.789104Z digest=sha256:1093ecdcc7ecc46ca0d2392aea181b5c6d34ff3fde8691908d57ffccc94c5836

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.793542Z digest=sha256:4678b860a81f142717c4f868ab1412a6566918c8a38181c6fb966536aa2adaa3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.798235Z digest=sha256:57daa69704f4fb0d49e0d05d2890d69ffcdf4db883c937980e3de0c77a7645c4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.802692Z digest=sha256:7f859c876ee2b1239ad5e9a9dfcf446af79490ba4323ffc86bfa45e54d4c1a14

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.807362Z digest=sha256:881e70fd0cde627ac002658652cba2ca4ebb460eb0bca329241bbe2b41f2ae2a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.811891Z digest=sha256:51af5e94f2a6293cc7c416781d8a7bb08e1ee73a0de44cce0b910067b4115c9c

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=sha256:28130a9009d1a324afc8b0baf2e76345b2c974437e7ee15a5798bf43ecf19f16

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.821317Z digest=sha256:45c75ae89645ac95421d48be118214063236f5ab79cf175191e289601ff40160

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.825816Z digest=sha256:f572493e397443564de58de6747af584f05d19e95bb111a28305a2027840dccd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.830126Z digest=sha256:f4ec8989155e335188ad34e26befd9cbdbb5daa12d09e75d4b9c1c1b750f5312

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T05:11:21.834473Z digest=sha256:e909af8ce6cd27978800f98377edd2013d71decf6dd6217c4d943ef124a86c01

Pith citing papers

No inbound Pith citation observations are available.