Papers Keyphrase Generation
“Keyphrase Generation” 태그가 달린 논문 81편 · 필터 해제
An Analysis of Datasets, Metrics and Models in Keyphrase Generation
Keyphrase generation refers to the task of producing a set of words or phrases that summarises the content of a document. Continuous efforts have been dedicated to this task over the past few years, spreading across mult…
Keyphrase GenerationERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation
Unsupervised keyphrase prediction has gained growing interest in recent years. However, existing methods typically rely on heuristically defined importance scores, which may lead to inaccurate informativeness estimation.…
InformativenessKeyphrase GenerationText RetrievalKAPPA: A Generic Patent Analysis Framework with Keyphrase-Based Portraits
Patent analysis highly relies on concise and interpretable document representations, referred to as patent portraits. Keyphrases, both present and absent, are ideal candidates for patent portraits due to their brevity, r…
Keyphrase GenerationSelf-Compositional Data Augmentation for Scientific Keyphrase Generation
State-of-the-art models for keyphrase generation require large amounts of training data to achieve good performance. However, obtaining keyphrase-labeled documents can be challenging and costly. To address this issue, we…
Data AugmentationKeyphrase GenerationKey Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases
Keyphrase selection is a challenging task in natural language processing that has a wide range of applications. Adapting existing supervised and unsupervised solutions for the Russian language faces several limitations d…
Keyphrase GenerationOne2set + Large Language Model: Best Partners for Keyphrase Generation
Keyphrase generation (KPG) aims to automatically generate a collection of phrases representing the core concepts of a given document. The dominant paradigms in KPG include one2seq and one2set. Recently, there has been in…
Keyphrase GenerationLanguage ModelingLanguage ModellingLarge Language ModelEnhancing Automatic Keyphrase Labelling with Text-to-Text Transfer Transformer (T5) Architecture: A Framework for Keyphrase Generation and Filtering
Automatic keyphrase labelling stands for the ability of models to retrieve words or short phrases that adequately describe documents' content. Previous work has put much effort into exploring extractive techniques to add…
Keyphrase GenerationUnsupervised Domain Adaptation for Keyphrase Generation using Citation Contexts
Adapting keyphrase generation models to new domains typically involves few-shot fine-tuning with in-domain labeled data. However, annotating documents with keyphrases is often prohibitively expensive and impractical, req…
Domain AdaptationKeyphrase GenerationUnsupervised Domain AdaptationPre-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 GenerationPredictionFrom Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning
Open-vocabulary Extreme Multi-label Classification (OXMC) extends traditional XMC by allowing prediction beyond an extremely large, predefined label set (typically $10^3$ to $10^{12}$ labels), addressing the dynamic natu…
Extreme Multi-Label ClassificationKeyphrase GenerationMissing LabelsMulti-Label Classification+2MetaKP: On-Demand Keyphrase Generation
Traditional keyphrase prediction methods predict a single set of keyphrases per document, failing to cater to the diverse needs of users and downstream applications. To bridge the gap, we introduce on-demand keyphrase ge…
Event DetectionKeyphrase GenerationEUROPA: A Legal Multilingual Keyphrase Generation Dataset
Keyphrase generation has primarily been explored within the context of academic research articles, with a particular focus on scientific domains and the English language. In this work, we present EUROPA, a dataset for mu…
ArticlesKeyphrase GenerationOn Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation
This study addresses the application of encoder-only Pre-trained Language Models (PLMs) in keyphrase generation (KPG) amidst the broader availability of domain-tailored encoder-only models compared to encoder-decoder mod…
DecoderKeyphrase GenerationCross-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+2KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering
Representing documents into high dimensional embedding space while preserving the structural similarity between document sources has been an ultimate goal for many works on text representation learning. Current embedding…
Document EmbeddingKeyphrase GenerationQuestion AnsweringRepresentation LearningSimCKP: Simple Contrastive Learning of Keyphrase Representations
Keyphrase generation (KG) aims to generate a set of summarizing words or phrases given a source document, while keyphrase extraction (KE) aims to identify them from the text. Because the search space is much smaller in K…
Contrastive LearningKeyphrase ExtractionKeyphrase GenerationRethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models
Keyphrase Generation (KPG) is a longstanding task in NLP with widespread applications. The advent of sequence-to-sequence (seq2seq) pre-trained language models (PLMs) has ushered in a transformative era for KPG, yielding…
Keyphrase GenerationModel SelectionEnhancing Keyphrase Generation by BART Finetuning with Splitting and Shuffling
Keyphrase generation is a task of identifying a set of phrases that best repre-sent the main topics or themes of a given text. Keyphrases are dividend int pre-sent and absent keyphrases. Recent approaches utilizing seque…
Keyphrase GenerationTowards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering
Multi-modal keyphrase generation aims to produce a set of keyphrases that represent the core points of the input text-image pair. In this regard, dominant methods mainly focus on multi-modal fusion for keyphrase generati…
Image CaptioningImage-text matchingKeyphrase GenerationText MatchingUnsupervised Open-domain Keyphrase Generation
In this work, we study the problem of unsupervised open-domain keyphrase generation, where the objective is a keyphrase generation model that can be built without using human-labeled data and can perform consistently acr…
InformativenessKeyphrase Generation