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Found 9 papers, 2 papers with code
Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings
This method benefits from the English Sentiwordnet and a thesaurus in one of the target languages.
Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges
The emergence of Large Language Models (LLMs) has achieved tremendous success in the field of Natural Language Processing owing to diverse training paradigms that empower LLMs to effectively capture intricate linguistic patterns and semantic representations.
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian
To bridge these gaps, we introduce NLEBench, a comprehensive benchmark tailored for evaluating natural language generation capabilities in Norwegian, a low-resource language.
Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems
The emergence of Pre-trained Language Models (PLMs) has achieved tremendous success in the field of Natural Language Processing (NLP) by learning universal representations on large corpora in a self-supervised manner.
Recommending on graphs: a comprehensive review from a data perspective
Recent advances in graph-based learning approaches have demonstrated their effectiveness in modelling users' preferences and items' characteristics for Recommender Systems (RSS).
Evaluating and Improving Context Attention Distribution on Multi-Turn Response Generation using Self-Contained Distractions
In this paper, we focus on an essential component of multi-turn generation-based conversational agents: context attention distribution, i. e. how systems distribute their attention on dialogue's context.
Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation
Furthermore, we propose Domain-specific Frequency (DF), a novel word-level importance weight that measures the relative importance of a word for a specific corpus compared to other corpora.
Neural Networks for Entity Matching: A Survey
In this survey, we present how neural networks have been used for entity matching.
Political News Sentiment Analysis for Under-resourced Languages
This paper presents classification results for the analysis of sentiment in political news articles.
