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Found 8 papers, 1 papers with code
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models
However, the complexities of these diverse modalities pose challenges for developing an efficient multimodal emotion cause analysis (ECA) system.
A Methodology for the Prediction of Drug Target Interaction using CDK Descriptors
We target to evaluate performance of DTI prediction models using CDK descriptors.
Language Identification of Hindi-English tweets using code-mixed BERT
Recently, models such as BERT have shown that using a large amount of unlabeled data, the pretrained language models are even more beneficial for learning common language representations.
Language Lexicons for Hindi-English Multilingual Text Processing
Language Identification in textual documents is the process of automatically detecting the language contained in a document based on its content.
A Simple and Efficient Probabilistic Language model for Code-Mixed Text
The conventional natural language processing approaches are not accustomed to the social media text due to colloquial discourse and non-homogeneous characteristics.
Feature Selection on Noisy Twitter Short Text Messages for Language Identification
We apply different feature selection algorithms across various learning algorithms in order to analyze the effect of the algorithm as well as the number of features on the performance of the task.
Aspect Term Extraction using Graph-based Semi-Supervised Learning
Aspect based Sentiment Analysis is a major subarea of sentiment analysis.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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Cross Script Hindi English NER Corpus from Wikipedia
Such corpora may be of mixed lingual nature in which text is written using multiple languages predominantly using a single script only.
