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Found 5 papers, 0 papers with code
Deep Embedding of Conversation Segments
Conversation embeddings obtained in this fashion are applied to (a) conversation clustering, (b) conversation classification and (c) as a context for automated conversation generation on new datasets (unseen by the pre-training model).
Aspect and Opinion Term Extraction Using Graph Attention Network
We use the dependency tree of the input query as additional feature in a Graph Attention Network along with the token and part-of-speech features.
Multi-hop Question Answering over Knowledge Graphs using Large Language Models
Knowledge graphs (KGs) are large datasets with specific structures representing large knowledge bases (KB) where each node represents a key entity and relations amongst them are typed edges.
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models
The first class, RL4LLM, includes studies where RL is leveraged to improve the performance of LLMs on tasks related to Natural Language Processing.
Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural Network
However, complexity of the review sentences, presence of double negation and specific usage of words found in different domains make it difficult to predict the sentiment accurately and overall a challenging natural language understanding task.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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