Libido
发表于 2025-3-25 06:11:54
978-3-031-46673-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
Peristalsis
发表于 2025-3-25 09:13:20
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雄伟
发表于 2025-3-25 14:46:53
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/145483.jpg
Synapse
发表于 2025-3-25 16:37:35
https://doi.org/10.1007/978-3-662-02091-3n for teaching evaluation (SL-TeaE). We expand a general basic sentiment lexicon based on teaching evaluation data from our university’s academic system by creating a list of adverbs of degree and negative words. We use the TextRank algorithm to select sentiment seed words from user data and the SO-
jettison
发表于 2025-3-25 23:44:22
https://doi.org/10.1007/978-3-662-02091-3ased on a pre-trained model ignores the syntactic relations in the text and associations between different data; however, these relations can provide crucial missing auxiliary information for the MNER task. Therefore, we propose an auxiliary and syntactic relation enhancement graph fusion (ASGF) met
Immobilize
发表于 2025-3-26 01:20:42
https://doi.org/10.1007/978-3-662-02091-3ds first are identified from sentences and then utilized to categorize event types. However, this classification hugely relies on a substantial amount of annotated trigger words along with the accuracy of the trigger identification process. This annotation of trigger words is labor-intensive and tim
Abnormal
发表于 2025-3-26 05:08:34
https://doi.org/10.1007/978-3-662-02091-3asoning abilities, the challenging logical reasoning tasks are proposed. Existing approaches use graph-based neural models based on either sentence-level or entity-level graph construction methods which designed to capture a logical structure and enable inference over it. However, sentence-level met
Nonthreatening
发表于 2025-3-26 11:30:20
https://doi.org/10.1007/978-3-662-02091-3sed on textual data using only a limited number of labeled examples for training. Recently, quite a few studies have proposed to handle this task with task-agnostic and task-specific weights, among which prototype networks have proven to achieve the best performance. However, these methods often suf
愤愤不平
发表于 2025-3-26 15:37:12
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旁观者
发表于 2025-3-26 19:24:35
Berliner Klinische Antrittsvorlesungenge of emotional causes. Existing approaches focus on solving explicit sentiment, but struggle with analyzing implicit sentiment reviews. In this paper, to address the issue, we propose SI-TS, a framework that takes implicit sentiment extraction into account. Specifically, we design target structure