Browse State-of-the-Art › Term Extraction
Term Extraction
44 papers with code · 2 benchmarks · 7 datasets archive 2025-07-28
Term Extraction, or Automated Term Extraction (ATE), is about extraction domain-specific terms from natural language text. For example, the sentence “We meta-analyzed mortality using random-effect models” contains the domain-specific single-word terms "meta-analyzed", "mortality" and the multi-word term "random-effect models".
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| AWARE (1 row) | Baseline | AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for... | — | — | Compare |
| SemEval 2014 Task 4 Laptop (1 row) | Seq2Seq4ATE | Exploring Sequence-to-Sequence Learning in Aspect Term Extraction | — | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
7 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
2 subtasks in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 44 papers with code (160 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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17 Dec 2019 6 repositories listedAspect-based sentiment analysis (ABSA) task is a multi-grained task of natural language processing and consists of two subtasks: aspect term extraction (ATE) and aspect polarity classification (APC).
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4 Apr 2020 3 repositories listedThe aspect-based sentiment analysis (ABSA) task remains to be a long-standing challenge, which aims to extract the aspect term and then identify its sentiment orientation.
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17 Jun 2019 3 repositories listedAspect-based sentiment analysis produces a list of aspect terms and their corresponding sentiments for a natural language sentence.
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9 Nov 2017 3 repositories listedExtensively evaluated with 13 state-of-the-art base ATE methods on four datasets of diverse nature, it is shown to have achieved widespread improvement over all base methods and across all datasets, with up to 15…
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2 Aug 2022 2 repositories listedThe advancement of aspect-based sentiment analysis (ABSA) has urged the lack of a user-friendly framework that can largely lower the difficulty of reproducing state-of-the-art ABSA performance, especially for beginners.
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1 Aug 2021 2 repositories listed
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26 Jul 2021 2 repositories listedAspect Sentiment Triplet Extraction (ASTE) is the most recent subtask of ABSA which outputs triplets of an aspect target, its associated sentiment, and the corresponding opinion term.
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4 Apr 2020 2 repositories listedAspect-based sentiment analysis (ABSA) mainly involves three subtasks: aspect term extraction, opinion term extraction, and aspect-level sentiment classification, which are typically handled in a separate or joint…
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22 Apr 2025 1 repository listedIn this paper, we describe our participation in the RuTermEval competition devoted to extracting nested terms.
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4 Jun 2024 1 repository listedLarge Language Models (LLMs) are revolutionizing various domains, yet verifying their answers remains a significant challenge, especially for intricate open-ended tasks such as consolidation, summarization, and…
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1 Mar 2024 1 repository listedSummary preon is a fast and accurate library for the normalization of drug names and cancer types in large-scale data integration.
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8 Nov 2023 1 repository listedAspect-based Sentiment Analysis (ABSA) is a task whose objective is to classify the individual sentiment polarity of all entities, called aspects, in a sentence.
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3 Nov 2023 1 repository listedTherefore, this research aims to implement the multitask learning and prompting approach in aspect-based sentiment analysis for Bahasa Indonesia using generative pre-trained language models.
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27 Oct 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedWe assess the performance of GPT-4 and GPT-3.
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29 Aug 2023 1 repository listedWhere our study diverges from previous work is in (1) providing a more thorough analysis of what makes mathematical term extraction a difficult problem to begin with; (2) paying close attention to inter-annotator…
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22 May 2023 1 repository listedGenerative methods greatly promote aspect-based sentiment analysis via generating a sequence of sentiment elements in a specified format.
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22 May 2023 1 repository listedOne extracts core terms from an original query at the term level, and the other determines whether a sub-query is a suitable reduction for the original query at the sequence level.
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16 Feb 2023 1 repository listedWe introduce InstructABSA, an instruction learning paradigm for Aspect-Based Sentiment Analysis (ABSA) subtasks.
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18 Oct 2022 1 repository listedThe extraction of aspect terms is a critical step in fine-grained sentiment analysis of text.
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3 Aug 2022 1 repository listedIn regions that practice common law, relevant historical cases are essential references for sentencing.
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30 Jul 2022 1 repository listedSo far, aspect-based sentiment analysis (ABSA) has involved with total seven subtasks, in which, however the interactions among them have been left unexplored sufficiently.
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29 Jan 2022 1 repository listedAspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task which aims to extract the aspects from sentences and identify their corresponding sentiments.
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18 Nov 2021 1 repository listedTherefore, we propose a joint ABSA model, which not only enjoys the benefits of encoder sharing but also focuses on the difference to improve the effectiveness of the model.
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16 Nov 2021 1 repository listedRecent studies show integrating language resources which consist of lexical resources, syntactic resources and semantic resources can improve the performance of natural language processing (NLP) tasks.
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1 Nov 2021 1 repository listedIn this paper, we investigate the unified ABSA task from the perspective of Machine Reading Comprehension (MRC) by observing that the aspect and the opinion terms can serve as the query and answer in MRC interchangeably.
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30 Aug 2021 1 repository listedTerminological Concept Systems (TCS) provide a means of organizing, structuring and representing domain-specific multilingual information and are important to ensure terminological consistency in many tasks, such as…
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1 Aug 2021 1 repository listedExisting methods solve this problem by associating aspect terms with pivot words (we call this passive domain adaptation because the transfer of aspect terms relies on the links to pivots).
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1 Jun 2021 1 repository listedMany recent works on ABSA focus on Target-oriented Opinion Words (or Terms) Extraction (TOWE), which aims at extracting the corresponding opinion words for a given opinion target.
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22 Jan 2021 1 repository listedTerminology extraction, also known as term extraction, is a subtask of information extraction.
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1 Dec 2020 1 repository listedOne of the remaining challenges for aspect term extraction in sentiment analysis resides in the extraction of phrase-level aspect terms, which is non-trivial to determine the boundaries of such terms.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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