Results 1 to 10 of about 222,559 (119)

Embarrassingly Simple Unsupervised Aspect Extraction [PDF]

open access: yesProceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
We present a simple but effective method for aspect identification in sentiment analysis. Our unsupervised method only requires word embeddings and a POS tagger, and is therefore straightforward to apply to new domains and languages. We introduce Contrastive Attention (CAt), a novel single-head attention mechanism based on an RBF kernel, which gives a ...
Stéphan Tulkens   +1 more
openaire   +5 more sources

Improving aspect-level sentiment analysis with aspect extraction

open access: yesNeural Computing and Applications, 2020
Aspect-based sentiment analysis (ABSA), a popular research area in NLP, has two distinct parts—aspect extraction (AE) and labelling the aspects with sentiment polarity (ALSA). Although distinct, these two tasks are highly correlated. The work primarily hypothesizes that transferring knowledge from a pre-trained AE model can benefit the performance of ...
Navonil Majumder   +4 more
openaire   +4 more sources

Object-oriented transformations for extracting aspects [PDF]

open access: yesInformation and Software Technology, 2009
In the migration of object-oriented systems towards the aspect technology, after locating fragments of code presenting a crosscutting behavior and before extracting such code to aspects, transformations may be needed in the base program. Such transformations aim to associate crosscutting code to points of the base program that can be captured using the
Marcelo Nassau Malta   +1 more
openaire   +2 more sources

Enhancing Aspect Extraction for Hindi [PDF]

open access: yesProceedings of The 4th Workshop on e-Commerce and NLP, 2021
Aspect extraction is not a well-explored topic in Hindi, with only one corpus having been developed for the task. In this paper, we discuss the merits of the existing corpus in terms of quality, size, sparsity, and performance in aspect extraction tasks using established models.
Arghya Bhattacharya   +2 more
openaire   +1 more source

Unsupervised Neural Aspect Extraction with Sememes [PDF]

open access: yesProceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Aspect extraction relies on identifying aspects by discovering coherence among words, which is challenging when word meanings are diversified and processing on short texts. To enhance the performance on aspect extraction, leveraging lexical semantic resources is a possible solution to such challenge.
Ling Luo   +6 more
openaire   +2 more sources

Scheduling aspects in keyword extraction problem [PDF]

open access: yesInternational Transactions in Operational Research, 2017
AbstractThe amount of big data collected during human–computer interactions requires natural language processing (NLP) applications to be executed efficiently, especially in parallel computing environments. Scalability and performance are critical in many NLP applications such as search engines or web indexers.
Michal Zimniewicz   +2 more
openaire   +3 more sources

Aromatics Extraction. 2. Economic Aspects

open access: yesChemical Engineering Transactions, 2014
Besides the core-equipment design parameters, investment and operational costs of a separation unit are influenced by the down-stream separation apparatuses design. In case of aromatics liquid-phase extraction, down-stream processing is represented by the extraction solvent regeneration carried out in order to obtain pure products, i.e.
Steltenpohl P., Graczova E.
openaire   +2 more sources

Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions [PDF]

open access: yesProceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021
Product reviews contain a large number of implicit aspects and implicit opinions. However, most of the existing studies in aspect-based sentiment analysis ignored this problem. In this work, we introduce a new task, named Aspect-Category-Opinion-Sentiment (ACOS) Quadruple Extraction, with the goal to extract all aspect-category-opinion-sentiment ...
Hongjie Cai, Rui Xia, Jianfei Yu
openaire   +2 more sources

Implicit and Explicit Aspect Extraction in Financial Microblogs [PDF]

open access: yesProceedings of the First Workshop on Economics and Natural Language Processing, 2018
This paper focuses on aspect extraction which is a sub-task of Aspect-based Sen- timent Analysis. The goal is to report an extraction method of financial aspects in microblog messages. Our approach uses a stock-investment taxonomy for the iden- tification of explicit and implicit aspects.
Gaillat, T.   +5 more
openaire   +2 more sources

Environmental Aspects of Resource Extraction Contracts [PDF]

open access: yes, 2014
This paper analyzes resource partnerships and their in uence on the environmental quality in a resource-rich country by introducing incomplete contracts, imperfect property rights protection, and a lack of valuation for the environment by the government in the South.
openaire   +3 more sources

Home - About - Disclaimer - Privacy