{"url":"/task/extract-aspect","name":"Extract Aspect","slug":"extract-aspect","description_markdown":"Aspect extraction is the task of identifying and extracting terms relevant for opinion mining and sentiment analysis, for example terms for product attributes or features.","categories":[{"name":"Natural Language Processing","url":"/area/natural-language-processing"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"derived"},"counts":{"papers_tagged":23,"papers_with_code":10,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":0,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/extract-aspect-on-semeval-2015-task-12","slug":"extract-aspect-on-semeval-2015-task-12","dataset":"SemEval 2015 Task 12","dataset_url":null,"rows_in_archive":2,"metrics":["F1 score"],"first_row_in_archive_order":{"model":"EliXa","paper_title":"Review highlights: opinion mining on reviews: a hybrid model for rule selection in aspect extraction","paper_url":"/paper/review-highlights-opinion-mining-on-reviews-a","paper_date":"2017-10-18","arxiv_id":null,"code_links":[{"title":"yardstick17/AspectBasedSentimentAnalysis","url":"https://github.com/yardstick17/AspectBasedSentimentAnalysis"}],"syntology":null}}],"datasets":[],"subtasks":[],"parent_tasks":[{"url":"/task/aspect-based-sentiment-analysis","name":"Aspect-Based Sentiment Analysis (ABSA)"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":10,"of":10,"tagged_in_all":23,"items":[{"url":"/paper/a-multi-task-learning-framework-for-opinion","title":"A Multi-task Learning Framework for Opinion Triplet Extraction","date":"2020-10-04","arxiv_id":"2010.01512","repositories_listed":3,"syntology":null},{"url":"/paper/extractive-opinion-summarization-in-quantized","title":"Extractive Opinion Summarization in Quantized Transformer Spaces","date":"2020-12-08","arxiv_id":"2012.04443","repositories_listed":2,"syntology":null},{"url":"/paper/deliberate-self-attention-network-with","title":"An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment Analysis","date":"2020-09-18","arxiv_id":"2009.09112","repositories_listed":2,"syntology":null},{"url":"/paper/aspectmmkg-a-multi-modal-knowledge-graph-with","title":"AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities","date":"2023-08-09","arxiv_id":"2308.04992","repositories_listed":1,"syntology":null},{"url":"/paper/mvp-multi-view-prompting-improves-aspect","title":"MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction","date":"2023-05-22","arxiv_id":"2305.12627","repositories_listed":1,"syntology":null},{"url":"/paper/a-better-choice-entire-space-datasets-for","title":"A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet Extraction","date":"2022-12-18","arxiv_id":"2212.09052","repositories_listed":1,"syntology":null},{"url":"/paper/aspect-sentiment-multiple-opinion-triplet","title":"Aspect-Sentiment-Multiple-Opinion Triplet Extraction","date":"2021-10-14","arxiv_id":"2110.07303","repositories_listed":1,"syntology":null},{"url":"/paper/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/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/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}],"syntology_records":0,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}