Researchers from information retrieval and natural language processing community have put tremendous efforts to improve the performance of QASs across several languages. However, Hindi, the fourth most spoken l
hindi2vec State-of-the-Art Language Modeling and Text Classification in Hindi Language Results We achieved State of the Art Perplexity = 46.81 for Hindi compared to 40.68 for English (lower is better) To the best of my knowledge on September 18, 2018 Update: nlp-for-hindi uses sentencepiece...
Due to the differences between languages, there are also many pieces of research on NER methods for specific languages, and many notable NER surveys have been published, as summarized in Table 1, including a wide variety of languages, such as English, Arabic, Hindi and other languages, but no...
Natural language processing (NLP) has recently gained much attention for representing and analyzing human language computationally. It has spread its applications in various fields such as machine translation, email spam detection, information extraction, summarization, medical, and question answering etc. ...
The python library tweetnlp provides a collection of useful tools to analyze/understand tweets such as sentiment analysis, emoji prediction, and named-entity recognition, powered by state-of-the-art language modeling specialized on social media. News (December 2022): We presented a TweetNLP demo ...
To extract and present the essential phases of the text classification process, including the most common vocabulary, as a baseline framework. This framework could be referred as the map of text classification. 2. To enumerate both the older and new techniques utilised in each phase of text clas...
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Key Insights On Mind-Controlled Slaves, Psychotechnology, The Cryptocracy, Nazis, and ‘Alien’ (Military) Abductions From Bowart’s “Operation Mind Control Researcher’s Edition” (1994) & Video InterviewsBest Explanatory Videos on the Targeted Individual Program: Slavery Via Brain Stimulation With...
Duplet-based chemotherapy plus anti-PD1/PDL-1 obtained the highest ORR (56.2%) compared with doxorubicin (19-36.7%). Currently, the most robust predictive biomarker for anti-PD1/PDL-1 efficacy is the presence of tertiary lymphoid structures (TLS) with mature dendritic cells.Summary: Even when...
In our work, we attempt to analyze, detect and provide a comparative study of hate speech in a code-mixed social media text. We also provide a Hindi-English code-mixed data set consisting of Face-book and Twitter posts and comments. Our experiments show that deep learning models trained on...