{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/aspect-based-sentiment-analysis-1/papers/2","list_of":"/task/aspect-based-sentiment-analysis-1","task":"Aspect-Based Sentiment Analysis","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":2,"pages_in_order":5,"rows_per_page":100,"rows":[101,200],"of":429,"counts":{"archive_papers_tagged":429,"with_a_code_link":174,"where_syntology_ran_a_sample":14,"not_listed_spam_title":0,"listed":429,"listed_where_code_ran":14,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":13,"every_run_a_failure_of_syntologys_instrument":1,"listed_with_a_run_with_no_instrument_failure":13,"listed_every_run_a_failure_of_syntologys_instrument":1,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/aspect-based-sentiment-analysis-1","prev":"/task/aspect-based-sentiment-analysis-1","next":"/task/aspect-based-sentiment-analysis-1/papers/3","papers":[{"url":"/paper/cl-xabsa-contrastive-learning-for-cross","slug":"cl-xabsa-contrastive-learning-for-cross","title":"CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis","date":"2022-04-02","arxiv_id":"2204.00791","repositories_listed":1,"syntology":null},{"url":"/paper/bert-asc-auxiliary-sentence-construction-for","slug":"bert-asc-auxiliary-sentence-construction-for","title":"BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis","date":"2022-03-22","arxiv_id":"2203.11702","repositories_listed":1,"syntology":{"n":7,"n_ran":5,"n_constructed":0,"n_ran_checked":4,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":1,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/bert-asc-auxiliary-sentence-construction-for#ran","syntology_url":"https://syntology.ai/paper/2203.11702","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.11702"}},"official":{"repos":["amurtadha/bert-asc"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/combining-dynamic-local-context-focus-and","slug":"combining-dynamic-local-context-focus-and","title":"Combining dynamic local context focus and dependency cluster attention for aspect-level sentiment classification","date":"2022-03-14","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/towards-unifying-the-label-space-for-aspect","slug":"towards-unifying-the-label-space-for-aspect","title":"Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis","date":"2022-03-14","arxiv_id":"2203.07090","repositories_listed":1,"syntology":null},{"url":"/paper/a-survey-on-aspect-based-sentiment-analysis","slug":"a-survey-on-aspect-based-sentiment-analysis","title":"A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges","date":"2022-03-02","arxiv_id":"2203.01054","repositories_listed":1,"syntology":null},{"url":"/paper/a-simple-information-based-approach-to-1","slug":"a-simple-information-based-approach-to-1","title":"A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis","date":"2022-01-29","arxiv_id":"2201.12549","repositories_listed":1,"syntology":null},{"url":"/paper/knowledge-graph-augmented-network-towards","slug":"knowledge-graph-augmented-network-towards","title":"Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis","date":"2022-01-13","arxiv_id":"2201.04831","repositories_listed":1,"syntology":null},{"url":"/paper/auto-absa-automatic-detection-of-aspects-in","slug":"auto-absa-automatic-detection-of-aspects-in","title":"Auto-ABSA: Cross-Domain Aspect Detection and Sentiment Analysis Using Auxiliary Sentences","date":"2022-01-05","arxiv_id":"2202.00484","repositories_listed":1,"syntology":null},{"url":"/paper/adversarial-training-for-a-hybrid-approach-to","slug":"adversarial-training-for-a-hybrid-approach-to","title":"Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis","date":"2021-11-29","arxiv_id":"2111.14988","repositories_listed":1,"syntology":null},{"url":"/paper/seeking-common-but-distinguishing-difference-1","slug":"seeking-common-but-distinguishing-difference-1","title":"Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model","date":"2021-11-18","arxiv_id":"2111.09634","repositories_listed":1,"syntology":null},{"url":"/paper/learning-implicit-sentiment-in-aspect-based","slug":"learning-implicit-sentiment-in-aspect-based","title":"Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training","date":"2021-11-03","arxiv_id":"2111.02194","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":3,"n_instrument":2,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/learning-implicit-sentiment-in-aspect-based#ran","syntology_url":"https://syntology.ai/paper/2111.02194","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2111.02194"}},"official":{"repos":["tribleave/scapt-absa"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/aspect-based-sentiment-analysis-in-question","slug":"aspect-based-sentiment-analysis-in-question","title":"Aspect-based Sentiment Analysis in Question Answering Forums","date":"2021-11-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/cross-lingual-aspect-based-sentiment-analysis","slug":"cross-lingual-aspect-based-sentiment-analysis","title":"Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching","date":"2021-11-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/self-question-answering-aspect-based","slug":"self-question-answering-aspect-based","title":"Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension","date":"2021-11-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/unified-instance-and-knowledge-alignment","slug":"unified-instance-and-knowledge-alignment","title":"Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis","date":"2021-10-26","arxiv_id":"2110.13398","repositories_listed":1,"syntology":null},{"url":"/paper/span-detection-for-aspect-based-sentiment","slug":"span-detection-for-aspect-based-sentiment","title":"Span Detection for Aspect-Based Sentiment Analysis in Vietnamese","date":"2021-10-15","arxiv_id":"2110.07833","repositories_listed":1,"syntology":null},{"url":"/paper/exploring-conditional-text-generation-for","slug":"exploring-conditional-text-generation-for","title":"Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis","date":"2021-10-05","arxiv_id":"2110.02334","repositories_listed":1,"syntology":null},{"url":"/paper/aspect-sentiment-quad-prediction-as","slug":"aspect-sentiment-quad-prediction-as","title":"Aspect Sentiment Quad Prediction as Paraphrase Generation","date":"2021-10-02","arxiv_id":"2110.00796","repositories_listed":1,"syntology":null},{"url":"/paper/to-be-closer-learning-to-link-up-aspects-with","slug":"to-be-closer-learning-to-link-up-aspects-with","title":"To be Closer: Learning to Link up Aspects with Opinions","date":"2021-09-17","arxiv_id":"2109.08382","repositories_listed":1,"syntology":null},{"url":"/paper/jointly-modeling-aspect-and-polarity-for","slug":"jointly-modeling-aspect-and-polarity-for","title":"Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviews","date":"2021-09-16","arxiv_id":"2109.07680","repositories_listed":1,"syntology":null},{"url":"/paper/eliminating-sentiment-bias-for-aspect-level","slug":"eliminating-sentiment-bias-for-aspect-level","title":"Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction","date":"2021-09-06","arxiv_id":"2109.02403","repositories_listed":1,"syntology":null},{"url":"/paper/does-local-pruning-offer-task-specific-models","slug":"does-local-pruning-offer-task-specific-models","title":"Does local pruning offer task-specific models to learn effectively ?","date":"2021-09-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/aspect-category-opinion-sentiment-quadruple","slug":"aspect-category-opinion-sentiment-quadruple","title":"Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions","date":"2021-08-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/dual-graph-convolutional-networks-for-aspect","slug":"dual-graph-convolutional-networks-for-aspect","title":"Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis","date":"2021-08-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/towards-generative-aspect-based-sentiment","slug":"towards-generative-aspect-based-sentiment","title":"Towards Generative Aspect-Based Sentiment Analysis","date":"2021-08-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/aspect-based-sentiment-analysis-using-bert","slug":"aspect-based-sentiment-analysis-using-bert","title":"Aspect-based Sentiment Analysis using BERT with Disentangled Attention","date":"2021-07-18","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/target-specified-sequence-labeling-with-multi","slug":"target-specified-sequence-labeling-with-multi","title":"Target-specified Sequence Labeling with Multi-head Self-attention for Target-oriented Opinion Words Extraction","date":"2021-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/sa2sl-from-aspect-based-sentiment-analysis-to","slug":"sa2sl-from-aspect-based-sentiment-analysis-to","title":"SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence","date":"2021-05-31","arxiv_id":"2105.15079","repositories_listed":1,"syntology":null},{"url":"/paper/does-syntax-matter-a-strong-baseline-for","slug":"does-syntax-matter-a-strong-baseline-for","title":"Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa","date":"2021-04-11","arxiv_id":"2104.04986","repositories_listed":1,"syntology":null},{"url":"/paper/attention-based-relational-graph","slug":"attention-based-relational-graph","title":"Attention-based Relational Graph Convolutional Network for Target-Oriented Opinion Words Extraction","date":"2021-04-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/data-augmentation-in-a-hybrid-approach-for","slug":"data-augmentation-in-a-hybrid-approach-for","title":"Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment Analysis","date":"2021-03-29","arxiv_id":"2103.15912","repositories_listed":1,"syntology":null},{"url":"/paper/enhanced-aspect-based-sentiment-analysis","slug":"enhanced-aspect-based-sentiment-analysis","title":"Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning","date":"2021-03-05","arxiv_id":"2103.03446","repositories_listed":1,"syntology":null},{"url":"/paper/reproducibility-replicability-and-beyond","slug":"reproducibility-replicability-and-beyond","title":"Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild","date":"2021-01-23","arxiv_id":"2101.09449","repositories_listed":1,"syntology":null},{"url":"/paper/exploiting-bert-to-improve-aspect-based","slug":"exploiting-bert-to-improve-aspect-based","title":"Exploiting BERT to improve aspect-based sentiment analysis performance on Persian language","date":"2020-12-02","arxiv_id":"2012.07510","repositories_listed":1,"syntology":null},{"url":"/paper/joint-aspect-extraction-and-sentiment","slug":"joint-aspect-extraction-and-sentiment","title":"Joint Aspect Extraction and Sentiment Analysis with Directional Graph Convolutional Networks","date":"2020-12-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/context-guided-bert-for-targeted-aspect-based","slug":"context-guided-bert-for-targeted-aspect-based","title":"Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis","date":"2020-10-15","arxiv_id":"2010.07523","repositories_listed":1,"syntology":null},{"url":"/paper/weakly-supervised-aspect-based-sentiment","slug":"weakly-supervised-aspect-based-sentiment","title":"Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding","date":"2020-10-13","arxiv_id":"2010.06705","repositories_listed":1,"syntology":null},{"url":"/paper/aspect-sentiment-classification-with-aspect","slug":"aspect-sentiment-classification-with-aspect","title":"Aspect Based Sentiment Analysis with Aspect-Specific Opinion Spans","date":"2020-10-06","arxiv_id":"2010.02696","repositories_listed":1,"syntology":null},{"url":"/paper/learning-rewards-from-linguistic-feedback","slug":"learning-rewards-from-linguistic-feedback","title":"Learning Rewards from Linguistic Feedback","date":"2020-09-30","arxiv_id":"2009.14715","repositories_listed":1,"syntology":null},{"url":"/paper/grace-gradient-harmonized-and-cascaded","slug":"grace-gradient-harmonized-and-cascaded","title":"GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis","date":"2020-09-22","arxiv_id":"2009.10557","repositories_listed":1,"syntology":null},{"url":"/paper/tasty-burgers-soggy-fries-probing-aspect","slug":"tasty-burgers-soggy-fries-probing-aspect","title":"Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis","date":"2020-09-16","arxiv_id":"2009.07964","repositories_listed":1,"syntology":null},{"url":"/paper/country-image-in-covid-19-pandemic-a-case","slug":"country-image-in-covid-19-pandemic-a-case","title":"Country Image in COVID-19 Pandemic: A Case Study of China","date":"2020-09-12","arxiv_id":"2009.05817","repositories_listed":1,"syntology":null},{"url":"/paper/simple-unsupervised-similarity-based-aspect","slug":"simple-unsupervised-similarity-based-aspect","title":"Simple Unsupervised Similarity-Based Aspect Extraction","date":"2020-08-25","arxiv_id":"2008.10820","repositories_listed":1,"syntology":null},{"url":"/paper/sentiment-analysis-based-multi-person-multi","slug":"sentiment-analysis-based-multi-person-multi","title":"Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology using Natural Language Processing and Deep Learning for Smarter Decision Aid. Case study of restaurant choice using TripAdvisor reviews","date":"2020-07-31","arxiv_id":"2008.00032","repositories_listed":1,"syntology":null},{"url":"/paper/modelling-context-and-syntactical-features","slug":"modelling-context-and-syntactical-features","title":"Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis","date":"2020-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/relation-aware-collaborative-learning-for","slug":"relation-aware-collaborative-learning-for","title":"Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis","date":"2020-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/aspect-based-sentiment-analysis-of-scientific","slug":"aspect-based-sentiment-analysis-of-scientific","title":"Aspect-based Sentiment Analysis of Scientific Reviews","date":"2020-06-05","arxiv_id":"2006.03257","repositories_listed":1,"syntology":null},{"url":"/paper/opiniondigest-a-simple-framework-for-opinion","slug":"opiniondigest-a-simple-framework-for-opinion","title":"OpinionDigest: A Simple Framework for Opinion Summarization","date":"2020-05-05","arxiv_id":"2005.01901","repositories_listed":1,"syntology":null},{"url":"/paper/dombert-domain-oriented-language-model-for","slug":"dombert-domain-oriented-language-model-for","title":"DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis","date":"2020-04-28","arxiv_id":"2004.13816","repositories_listed":1,"syntology":null},{"url":"/paper/relational-graph-attention-network-for-aspect","slug":"relational-graph-attention-network-for-aspect","title":"Relational Graph Attention Network for Aspect-based Sentiment Analysis","date":"2020-04-26","arxiv_id":"2004.12362","repositories_listed":1,"syntology":{"n":6,"n_ran":4,"n_constructed":1,"n_ran_checked":4,"n_instrument":0,"n_unverified":2,"n_honours":1,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"4 ran (of which 1 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/relational-graph-attention-network-for-aspect#ran","syntology_url":"https://syntology.ai/paper/2004.12362","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2004.12362"}},"official":{"repos":["shenwzh3/RGAT-ABSA"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":1,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/utilizing-bert-intermediate-layers-for-aspect","slug":"utilizing-bert-intermediate-layers-for-aspect","title":"Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference","date":"2020-02-12","arxiv_id":"2002.04815","repositories_listed":1,"syntology":null},{"url":"/paper/multilingual-aspect-clustering-for-sentiment","slug":"multilingual-aspect-clustering-for-sentiment","title":"Multilingual aspect clustering for sentiment analysis","date":"2019-12-09","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/a-challenge-dataset-and-effective-models-for","slug":"a-challenge-dataset-and-effective-models-for","title":"A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis","date":"2019-11-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/transferable-end-to-end-aspect-based","slug":"transferable-end-to-end-aspect-based","title":"Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning","date":"2019-10-31","arxiv_id":"1910.14192","repositories_listed":1,"syntology":{"n":9,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/transferable-end-to-end-aspect-based#ran","syntology_url":"https://syntology.ai/paper/1910.14192","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1910.14192"}},"official":{"repos":["hsqmlzno1/Transferable-E2E-ABSA"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/exploiting-bert-for-end-to-end-aspect-based","slug":"exploiting-bert-for-end-to-end-aspect-based","title":"Exploiting BERT for End-to-End Aspect-based Sentiment Analysis","date":"2019-10-02","arxiv_id":"1910.00883","repositories_listed":1,"syntology":null},{"url":"/paper/a-novel-aspect-guided-deep-transition-model","slug":"a-novel-aspect-guided-deep-transition-model","title":"A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis","date":"2019-09-01","arxiv_id":"1909.00324","repositories_listed":1,"syntology":null},{"url":"/paper/pars-absa-an-aspect-based-sentiment-analysis","slug":"pars-absa-an-aspect-based-sentiment-analysis","title":"Pars-ABSA: an Aspect-based Sentiment Analysis dataset for Persian","date":"2019-07-26","arxiv_id":"1908.01815","repositories_listed":1,"syntology":null},{"url":"/paper/attention-and-lexicon-regularized-lstm-for","slug":"attention-and-lexicon-regularized-lstm-for","title":"Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis","date":"2019-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/doer-dual-cross-shared-rnn-for-aspect-term","slug":"doer-dual-cross-shared-rnn-for-aspect-term","title":"DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction","date":"2019-06-05","arxiv_id":"1906.01794","repositories_listed":1,"syntology":null},{"url":"/paper/target-oriented-opinion-words-extraction-with","slug":"target-oriented-opinion-words-extraction-with","title":"Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling","date":"2019-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/190503423","slug":"190503423","title":"Targeted Sentiment Analysis: A Data-Driven Categorization","date":"2019-05-09","arxiv_id":"1905.03423","repositories_listed":1,"syntology":null},{"url":"/paper/bert-post-training-for-review-reading","slug":"bert-post-training-for-review-reading","title":"BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis","date":"2019-04-03","arxiv_id":"1904.02232","repositories_listed":1,"syntology":{"n":7,"n_ran":4,"n_constructed":0,"n_ran_checked":3,"n_instrument":1,"n_unverified":3,"n_honours":1,"n_violates":0,"n_no_contract":2,"n_pointer_only":1,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/bert-post-training-for-review-reading#ran","syntology_url":"https://syntology.ai/paper/1904.02232","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.02232"}},"official":null}},{"url":"/paper/a-hybrid-approach-for-aspect-based-sentiment","slug":"a-hybrid-approach-for-aspect-based-sentiment","title":"A Hybrid Approach for Aspect-Based Sentiment Analysis Using a Lexicalized Domain Ontology and Attentional Neural Models","date":"2019-03-04","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/iarm-inter-aspect-relation-modeling-with","slug":"iarm-inter-aspect-relation-modeling-with","title":"IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis","date":"2018-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/aspect-sentiment-model-for-micro-reviews","slug":"aspect-sentiment-model-for-micro-reviews","title":"Aspect Sentiment Model for Micro Reviews","date":"2018-06-14","arxiv_id":"1806.05499","repositories_listed":1,"syntology":null},{"url":"/paper/modeling-inter-aspect-dependencies-for-aspect","slug":"modeling-inter-aspect-dependencies-for-aspect","title":"Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis","date":"2018-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/improving-aspect-term-extraction-with","slug":"improving-aspect-term-extraction-with","title":"Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation","date":"2018-05-21","arxiv_id":"1805.07889","repositories_listed":1,"syntology":null},{"url":"/paper/aspect-based-sentiment-analysis-with-gated","slug":"aspect-based-sentiment-analysis-with-gated","title":"Aspect Based Sentiment Analysis with Gated Convolutional Networks","date":"2018-05-18","arxiv_id":"1805.07043","repositories_listed":1,"syntology":null},{"url":"/paper/aspect-term-extraction-with-history-attention","slug":"aspect-term-extraction-with-history-attention","title":"Aspect Term Extraction with History Attention and Selective Transformation","date":"2018-05-02","arxiv_id":"1805.00760","repositories_listed":1,"syntology":null},{"url":"/paper/recurrent-entity-networks-with-delayed-memory","slug":"recurrent-entity-networks-with-delayed-memory","title":"Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis","date":"2018-04-30","arxiv_id":"1804.11019","repositories_listed":1,"syntology":null},{"url":"/paper/crowd-labeling-fashion-reviews-with-quality","slug":"crowd-labeling-fashion-reviews-with-quality","title":"Crowd-Labeling Fashion Reviews with Quality Control","date":"2018-04-05","arxiv_id":"1805.09648","repositories_listed":1,"syntology":null},{"url":"/paper/left-center-right-separated-neural-network","slug":"left-center-right-separated-neural-network","title":"Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention","date":"2018-02-03","arxiv_id":"1802.00892","repositories_listed":1,"syntology":null},{"url":"/paper/review-highlights-opinion-mining-on-reviews-a","slug":"review-highlights-opinion-mining-on-reviews-a","title":"Review highlights: opinion mining on reviews: a hybrid model for rule selection in aspect extraction","date":"2017-10-18","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/w2vlda-almost-unsupervised-system-for-aspect","slug":"w2vlda-almost-unsupervised-system-for-aspect","title":"W2VLDA: Almost Unsupervised System for Aspect Based Sentiment Analysis","date":"2017-05-22","arxiv_id":"1705.07687","repositories_listed":1,"syntology":null},{"url":null,"slug":"adaptisent-context-aware-adaptive-attention","title":"AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis","date":"2025-07-17","arxiv_id":"2507.12695","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-domain-absa-conversation-dataset","title":"Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison","date":"2025-05-30","arxiv_id":"2505.24701","repositories_listed":0,"syntology":null},{"url":null,"slug":"crosgrpsabs-cross-attention-over-syntactic","title":"CrosGrpsABS: Cross-Attention over Syntactic and Semantic Graphs for Aspect-Based Sentiment Analysis in a Low-Resource Language","date":"2025-05-25","arxiv_id":"2505.19018","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-multimodal-aspect-based-sentiment","title":"Enhanced Multimodal Aspect-Based Sentiment Analysis by LLM-Generated Rationales","date":"2025-05-20","arxiv_id":"2505.14499","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-domain-multilingual-sentiment-analysis","title":"Multi-domain Multilingual Sentiment Analysis in Industry: Predicting Aspect-based Opinion Quadruples","date":"2025-05-15","arxiv_id":"2505.10389","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-multilingual-sentiment-analysis","title":"Enhancing Multilingual Sentiment Analysis with Explainability for Sinhala, English, and Code-Mixed Content","date":"2025-04-18","arxiv_id":"2504.13545","repositories_listed":0,"syntology":null},{"url":null,"slug":"dependency-structure-augmented-contextual","title":"Dependency Structure Augmented Contextual Scoping Framework for Multimodal Aspect-Based Sentiment Analysis","date":"2025-04-15","arxiv_id":"2504.11331","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-annotation-to-adaptation-metrics","title":"From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models","date":"2025-03-26","arxiv_id":"2503.20715","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-scale-and-multi-objective-optimization","title":"Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis","date":"2025-02-19","arxiv_id":"2502.13718","repositories_listed":0,"syntology":null},{"url":null,"slug":"star-stepwise-task-augmentation-and-relation","title":"STAR: Stepwise Task Augmentation and Relation Learning for Aspect Sentiment Quad Prediction","date":"2025-01-27","arxiv_id":"2501.16093","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-extract-cross-domain-aspects-and","title":"Learning to Extract Cross-Domain Aspects and Understanding Sentiments Using Large Language Models","date":"2025-01-15","arxiv_id":"2501.08974","repositories_listed":0,"syntology":null},{"url":null,"slug":"dissim-finbert-text-simplification-for-core","title":"DisSim-FinBERT: Text Simplification for Core Message Extraction in Complex Financial Texts","date":"2025-01-09","arxiv_id":"2501.04959","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-dual-module-denoising-approach-with","title":"A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis","date":"2024-12-11","arxiv_id":"2412.08489","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comprehensive-evaluation-of-large-language-4","title":"A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis","date":"2024-12-03","arxiv_id":"2412.02279","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-uncertainty-aware-learning-for","title":"Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment Analysis","date":"2024-12-02","arxiv_id":"2412.01249","repositories_listed":0,"syntology":null},{"url":null,"slug":"pgso-prompt-based-generative-sequence","title":"PGSO: Prompt-based Generative Sequence Optimization Network for Aspect-based Sentiment Analysis","date":"2024-12-01","arxiv_id":"2412.00763","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-large-language-models-for-3","title":"Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions","date":"2024-11-23","arxiv_id":"2411.15408","repositories_listed":0,"syntology":null},{"url":null,"slug":"utilizing-large-language-models-for-event","title":"Utilizing Large Language Models for Event Deconstruction to Enhance Multimodal Aspect-Based Sentiment Analysis","date":"2024-10-18","arxiv_id":"2410.14150","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-ground-truth-is-not-enough-add","title":"Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation","date":"2024-10-13","arxiv_id":"2410.09807","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-aspect-based-sentiment-analysis-in","title":"Enhancing Aspect-based Sentiment Analysis in Tourism Using Large Language Models and Positional Information","date":"2024-09-23","arxiv_id":"2409.14997","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-chatgpt-based-augmentation","title":"Exploring ChatGPT-based Augmentation Strategies for Contrastive Aspect-based Sentiment Analysis","date":"2024-09-17","arxiv_id":"2409.11218","repositories_listed":0,"syntology":null},{"url":null,"slug":"dualkanbaformer-kolmogorov-arnold-networks","title":"DualKanbaFormer: An Efficient Selective Sparse Framework for Multimodal Aspect-based Sentiment Analysis","date":"2024-08-27","arxiv_id":"2408.15379","repositories_listed":0,"syntology":null},{"url":null,"slug":"instruct-deberta-a-hybrid-approach-for-aspect","title":"Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews","date":"2024-08-23","arxiv_id":"2408.13202","repositories_listed":0,"syntology":null},{"url":null,"slug":"panosent-a-panoptic-sextuple-extraction","title":"PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis","date":"2024-08-18","arxiv_id":"2408.09481","repositories_listed":0,"syntology":null},{"url":null,"slug":"gerestaurant-a-german-dataset-of-annotated","title":"GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis","date":"2024-08-15","arxiv_id":"2408.07955","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-02044","title":"Fine-tuning multilingual language models in Twitter/X sentiment analysis: a study on Eastern-European V4 languages","date":"2024-08-04","arxiv_id":"2408.02044","repositories_listed":0,"syntology":null}],"record_sha256":"e0f05041ab2c3f0c94d4a14857473f4d2c94effdbf9a85d476bfbf87782083bb","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}