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Found 8 papers, 2 papers with code
KG-CRuSE: Recurrent Walks over Knowledge Graph for Explainable Conversation Reasoning using Semantic Embeddings
A crucial challenge of such systems is to select facts from a knowledge graph pertinent to the dialogue context for response generation.
Few-shot and Zero-shot Approaches to Legal Text Classification: A Case Study in the Financial Sector
This method allows predictive coding methods to be rapidly developed for new regulations and markets.
Towards Classification of Legal Pharmaceutical Text using GAN-BERT
Pharmaceutical text classification is an important area of research for commercial and research institutions working in the pharmaceutical domain.
A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning
The approach focuses on generating weakly-supervised annotations by exploiting the strengths of both large language models (LLM) and traditional syntactic dependencies.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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Unsupervised Deep Language and Dialect Identification for Short Texts
Automatic Language Identification (LI) or Dialect Identification (DI) of short texts of closely related languages or dialects, is one of the primary steps in many natural language processing pipelines.
Suggest me a movie for tonight: Leveraging Knowledge Graphs for Conversational Recommendation
Conversational recommender systems focus on the task of suggesting products to users based on the conversation flow.
Automated Early Leaderboard Generation From Comparative Tables
We propose several approaches to rank papers from these noisy 'match' outcomes.
