Papers Keyphrase Extraction
“Keyphrase Extraction” 태그가 달린 논문 160편 · 필터 해제
Utilizing Cognitive Signals Generated during Human Reading to Enhance Keyphrase Extraction from Microblogs
Microblogging platforms generate massive amounts of short, noisy, and dispersed user content, making automatic keyphrase extraction (AKE) an important but challenging task. Prior studies have used eye-tracking signals to…
Keyphrase ExtractionAttention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings
Pre-trained language models (PLMs) have achieved strong performance in keyphrase extraction (KPE), largely due to their ability to generate rich contextualized representations. However, long-document KPE remains challeng…
Keyphrase ExtractionSlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction
Keyphrase extraction for morphologically rich, low-resource languages remains understudied, largely due to the scarcity of suitable evaluation datasets. We address this gap for Slovak by constructing a dataset of 227,432…
Keyphrase ExtractionEvaluating the Homogeneity of Keyphrase Prediction Models
Keyphrases which are useful in several NLP and IR applications are either extracted from text or predicted by generative models. Contrarily to keyphrase extraction approaches, keyphrase generation models can predict keyp…
Keyphrase ExtractionRetrieval Augmented Generation (RAG) for Fintech: Agentic Design and Evaluation
Retrieval-Augmented Generation (RAG) systems often face limitations in specialized domains such as fintech, where domain-specific ontologies, dense terminology, and acronyms complicate effective retrieval and synthesis. …
Keyphrase ExtractionRethinking Schema Linking: A Context-Aware Bidirectional Retrieval Approach for Text-to-SQL
Schema linking -- the process of aligning natural language questions with database schema elements -- is a critical yet underexplored component of Text-to-SQL systems. While recent methods have focused primarily on impro…
Keyphrase ExtractionKeyword ExtractionMAPEX: A Multi-Agent Pipeline for Keyphrase Extraction
Keyphrase extraction is a fundamental task in natural language processing. However, existing unsupervised prompt-based methods for Large Language Models (LLMs) often rely on single-stage inference pipelines with uniform …
Keyphrase ExtractionEnhancing Keyphrase Extraction from Academic Articles Using Section Structure Information
The exponential increase in academic papers has significantly increased the time required for researchers to access relevant literature. Keyphrase Extraction (KPE) offers a solution to this situation by enabling research…
ArticlesKeyphrase ExtractionLongKey: Keyphrase Extraction for Long Documents
In an era of information overload, manually annotating the vast and growing corpus of documents and scholarly papers is increasingly impractical. Automated keyphrase extraction addresses this challenge by identifying rep…
Keyphrase ExtractionLanguage ModelingLanguage ModellingOptimizing Keyphrase Ranking for Relevance and Diversity Using Submodular Function Optimization (SFO)
Keyphrase ranking plays a crucial role in information retrieval and summarization by indexing and retrieving relevant information efficiently. Advances in natural language processing, especially large language models (LL…
DiversityInformation RetrievalKeyphrase ExtractionRetrievalChuLo: Chunk-Level Key Information Representation for Long Document Processing
Transformer-based models have achieved remarkable success in various Natural Language Processing (NLP) tasks, yet their ability to handle long documents is constrained by computational limitations. Traditional approaches…
ChunkingClassificationDocument Classificationdocument understanding+5Customized Information and Domain-centric Knowledge Graph Construction with Large Language Models
In this paper we propose a novel approach based on knowledge graphs to provide timely access to structured information, to enable actionable technology intelligence, and improve cyber-physical systems planning. Our frame…
Decision Makinggraph constructionInformation RetrievalKeyphrase Extraction+1Attention-Seeker: Dynamic Self-Attention Scoring for Unsupervised Keyphrase Extraction
This paper proposes Attention-Seeker, an unsupervised keyphrase extraction method that leverages self-attention maps from a Large Language Model to estimate the importance of candidate phrases. Our approach identifies sp…
Keyphrase ExtractionLanguage ModelingLanguage ModellingLarge Language ModelExploring Fine-tuned Generative Models for Keyphrase Selection: A Case Study for Russian
Keyphrase selection plays a pivotal role within the domain of scholarly texts, facilitating efficient information retrieval, summarization, and indexing. In this work, we explored how to apply fine-tuned generative trans…
Information RetrievalKeyphrase ExtractionPre-Trained Language Models for Keyphrase Prediction: A Review
Keyphrase Prediction (KP) is essential for identifying keyphrases in a document that can summarize its content. However, recent Natural Language Processing (NLP) advances have developed more efficient KP models using dee…
Keyphrase ExtractionKeyphrase GenerationPredictionA Preliminary Empirical Study on Prompt-based Unsupervised Keyphrase Extraction
Pre-trained large language models can perform natural language processing downstream tasks by conditioning on human-designed prompts. However, a prompt-based approach often requires "prompt engineering" to design differe…
Keyphrase ExtractionPrompt EngineeringAn efficient domain-independent approach for supervised keyphrase extraction and ranking
We present a supervised learning approach for automatic extraction of keyphrases from single documents. Our solution uses simple to compute statistical and positional features of candidate phrases and does not rely on an…
Deep LearningKeyphrase ExtractionWord EmbeddingsNORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question Answering
Open Retrieval Conversational Question Answering (OrConvQA) answers a question given a conversation as context and a document collection. A typical OrConvQA pipeline consists of three modules: a Retriever to retrieve rel…
Conversational Question AnsweringKeyphrase ExtractionQuestion AnsweringRetrievalLarge Language Models as Zero-Shot Keyphrase Extractors: A Preliminary Empirical Study
Zero-shot keyphrase extraction aims to build a keyphrase extractor without training by human-annotated data, which is challenging due to the limited human intervention involved. Challenging but worthwhile, zero-shot sett…
Keyphrase ExtractionLanguage ModelingLanguage ModellingLarge Language ModelCross-Domain Robustness of Transformer-based Keyphrase Generation
Modern models for text generation show state-of-the-art results in many natural language processing tasks. In this work, we explore the effectiveness of abstractive text summarization models for keyphrase selection. A li…
Abstractive Text SummarizationKeyphrase ExtractionKeyphrase GenerationText Generation+2