The language contains influences from Sinitic languages such as Chinese dialects, Malay, Tamil and so forth. A fundamental task to understanding Singlish is to first understand the pragmatic functions of its discourse particles, upon which Singlish relies heavily to convey meaning. This work offers a...
(4) The weights for disagreement tasks are set to 0, meaning the conflicting task is dropped (TWD). (5) Our proposed method, TAMML-Light, which increases the weights of agreement tasks. As shown in Table 5, TWR performs poorly for the random weight, and TWD is ineffective because it ...
The MJ dataset is mostly a synthetic dataset, meaning it is artificially generated. In contrast, the RL dataset contains real-world data that humans manually recorded. The third dataset incorporates publicly accessible English handwriting datasets as well as our proprietary middle school student handwrit...
We assume that the event exists in the first line of the document. If we do not find it in the first line, then we take the help of emotion analysis. If it has negative polarity, then it is associated with an unexpected event which has negative meaning. We use NLTK for emotion ...
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We assume that the event exists in the first line of the document. If we do not find it in the first line, then we take the help of emotion analysis. If it has negative polarity, then it is associated with an unexpected event which has negative meaning. We use NLTK for emotion ...
Visual Word Sense Disambiguation shared task at SemEval-2023 aims to identify an image corresponding to the intended meaning of a given ambiguous word (wit... N Katyal,P Rajpoot,S Tamilarasu,... 被引量: 0发表: 2023年 Train-O-Matic: Supervised Word Sense Disambiguation with No (manual) ...
Analysis of fine-tuned models indicates the preference of multi-task learning over single task learning resulting in a higher weighted F1 score on all three languages. We apply two multi-task learning approaches to three Dravidian languages, Kannada, Malayalam, and Tamil. Maximum scores on Kannada...
We assume that the event exists in the first line of the document. If we do not find it in the first line, then we take the help of emotion analysis. If it has negative polarity, then it is associated with an unexpected event which has negative meaning. We use NLTK for emotion ...