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Political analytics on election candidates and their parties in context of the US Presidential elections 2020
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Preoperative Assessment of Language Dominance through Combined Resting-State and Task-Based Functional Magnetic Resonance Imaging ...
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Extending and Using a Sentiment Lexicon for Latin in a Linked Data Framework ...
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Extending and Using a Sentiment Lexicon for Latin in a Linked Data Framework ...
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Latin Embeddings and the LiLa Knowledge Base of Interlinked Resources for Latin ...
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Latin Embeddings and the LiLa Knowledge Base of Interlinked Resources for Latin ...
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Analyzing Tweets to Rank FIFA Players using Named Entity Recognition ...
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Analyzing Tweets to Rank FIFA Players using Named Entity Recognition ...
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CHoRaL: Collecting Humor Reaction Labels from Millions of Social Media Users ...
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Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer ...
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To be Closer: Learning to Link up Aspects with Opinions ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.317/ Abstract: Dependency parse trees are helpful for discovering the opinion words in aspect-based sentiment analysis (ABSA). However, the trees obtained from off-the-shelf dependency parsers are static, and could be sub-optimal in ABSA. This is because the syntactic trees are not designed for capturing the interactions between opinion words and aspect words. In this work, we aim to shorten the distance between aspects and corresponding opinion words by learning an aspect-centric tree structure. The aspect and opinion words are expected to be closer along such tree structure compared to the standard dependency parse tree. The learning process allows the tree structure to adaptively correlate the aspect and opinion words, enabling us to better identify the polarity in the ABSA task. We conduct experiments on five aspect-based sentiment datasets, and the proposed model significantly outperforms recent strong baselines. Furthermore, our thorough ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis
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URL: https://dx.doi.org/10.48448/xs13-as04 https://underline.io/lecture/37324-to-be-closer-learning-to-link-up-aspects-with-opinions
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CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees ...
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Data for: Charlie Chaplin and gesture training in severe aphasia: a randomized double-blind single-case experimental design. ...
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Data for: Charlie Chaplin and gesture training in severe aphasia: a randomized double-blind single-case experimental design. ...
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Bangla Bengali sentiment lexicon dictionary with positive and negative words ...
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Unconscious top-down contextual modulation at the categorical, but not lexical, level ...
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Bangla Bengali sentiment lexicon dictionary with positive and negative words ...
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Bangla Bengali sentiment lexicon dictionary with positive and negative words ...
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