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Found 6 papers, 1 papers with code
Language Model Adaptation to Specialized Domains through Selective Masking based on Genre and Topical Characteristics
Recent advances in pre-trained language modeling have facilitated significant progress across various natural language processing (NLP) tasks.
Harnessing GPT-3.5-turbo for Rhetorical Role Prediction in Legal Cases
We propose a comprehensive study of one-stage elicitation techniques for querying a large pre-trained generative transformer (GPT-3. 5-turbo) in the rhetorical role prediction task of legal cases.
Enhancing Pre-Trained Language Models with Sentence Position Embeddings for Rhetorical Roles Recognition in Legal Opinions
The legal domain is a vast and complex field that involves a considerable amount of text analysis, including laws, legal arguments, and legal opinions.
DEFT2018 : recherche d'information et analyse de sentiments dans des tweets concernant les transports en \^Ile de France (DEFT2018 : Information Retrieval and Sentiment Analysis in Tweets about Public Transportation in \^Ile de France Region )
Cet article pr{\'e}sente l{'}{\'e}dition 2018 de la campagne d{'}{\'e}valuation DEFT (D{\'e}fi Fouille de Textes).
Extraction d'expressions-cibles de l'opinion : de l'anglais au fran\ccais (Opinion Target Expression extraction : from English to French)
Dans cet article, nous pr{\'e}sentons le d{\'e}veloppement d{'}un syst{\`e}me d{'}extraction d{'}expressions-cibles pour l{'}anglais et sa transposition au fran{\c{c}}ais.
Evaluating Lexical Similarity to build Sentiment Similarity
In this article, we propose to evaluate the lexical similarity information provided by word representations against several opinion resources using traditional Information Retrieval tools.
