Results 1 to 10 of about 222,559 (119)
Embarrassingly Simple Unsupervised Aspect Extraction [PDF]
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
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Improving aspect-level sentiment analysis with aspect extraction
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
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Object-oriented transformations for extracting aspects [PDF]
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
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Enhancing Aspect Extraction for Hindi [PDF]
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
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Unsupervised Neural Aspect Extraction with Sememes [PDF]
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
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Scheduling aspects in keyword extraction problem [PDF]
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
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Aromatics Extraction. 2. Economic Aspects
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.
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Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions [PDF]
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
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Implicit and Explicit Aspect Extraction in Financial Microblogs [PDF]
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
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Environmental Aspects of Resource Extraction Contracts [PDF]
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.
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