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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study
Trajectories of Change: Approaches for Tracking Knowledge Evolution
Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions
Contextual Document Embeddings
QAEncoder: Towards Aligned Representation Learning in Question Answering System
DocNet: Semantic Structure in Inductive Bias Detection Models
rollama: An R package for using generative large language models through Ollama
ARAGOG: Advanced RAG Output Grading
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification
Word Embeddings Revisited: Do LLMs Offer Something New?
KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering
Facilitating Interdisciplinary Knowledge Transfer with Research Paper Recommender Systems
A Novel Method of Fuzzy Topic Modeling based on Transformer Processing
Shuffle & Divide: Contrastive Learning for Long Text
Caching Historical Embeddings in Conversational Search
Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora
Approach to Predicting News -- A Precise Multi-LSTM Network With BERT
Academic Resource Text Level Multi-label Classification based on Attention
BERTopic: Neural topic modeling with a class-based TF-IDF procedure
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking
Sentiment Analysis on Brazilian Portuguese User Reviews
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion
Document Embedding for Scientific Articles: Efficacy of Word Embeddings vs TFIDF
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling
Evaluation of Field-Aware Neural Ranking Models for Recipe Search
Unsupervised Document Embedding via Contrastive Augmentation
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
Transformer based Multilingual document Embedding model
Improve Document Embedding for Text Categorization Through Deep Siamese Neural Network
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding
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