Mining Legal Arguments in Court Decisions

Identifying, classifying, and analyzing arguments in legal discourse has been a prominent area of research since the inception of the argument mining field. However, there has been a major discrepancy between the way natural language processing (NLP) researchers model and annotate arguments in court decisions and the way legal experts Read more…

Zero-shot learning abilities of language models.

This paper explores a simple method for improving the zero-shot learning abilities of language models. We show that instruction tuning—finetuning language models on a collection of tasks described via instructions—substantially boosts zero-shot performance on unseen tasks. We take a 137B parameter pretrained language model and instruction-tune it on over 60 Read more…

Sentiment Analysis, SVM, Sarcasm.

The sentiment is an attitude or opinion that is expressed, it is not based on laws and philosophy. Sentiment analysis is the mining of opinion or sentiment expressed in text as positive, negative or neutral sentiment. Detecting sarcasm is the main hurdle in sentiment analysis. Sarcasm can be expressed in Read more…