Papers Keyphrase Extraction
“Keyphrase Extraction” 태그가 달린 논문 160편 · 필터 해제
Applying Transformer-based Text Summarization for Keyphrase Generation
Keyphrases are crucial for searching and systematizing scholarly documents. Most current methods for keyphrase extraction are aimed at the extraction of the most significant words in the text. But in practice, the list o…
Abstractive Text SummarizationKeyphrase ExtractionKeyphrase GenerationText SummarizationCombining keyphrase extraction and lexical diversity to characterize ideas in publication titles
Beyond bibliometrics, there is interest in characterizing the evolution of the number of ideas in scientific papers. A common approach for investigating this involves analyzing the titles of publications to detect vocabu…
DiversityKeyphrase ExtractionKeyword Extraction in Scientific Documents
The scientific publication output grows exponentially. Therefore, it is increasingly challenging to keep track of trends and changes. Understanding scientific documents is an important step in downstream tasks such as kn…
Keyphrase ExtractionKeyword ExtractionQuery-Based Keyphrase Extraction from Long Documents
Transformer-based architectures in natural language processing force input size limits that can be problematic when long documents need to be processed. This paper overcomes this issue for keyphrase extraction by chunkin…
ChunkingKeyphrase ExtractionHyperbolic Relevance Matching for Neural Keyphrase Extraction
Keyphrase extraction is a fundamental task in natural language processing and information retrieval that aims to extract a set of phrases with important information from a source document. Identifying important keyphrase…
Information RetrievalKeyphrase ExtractionRetrievalTriplet+1LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents
Identifying keyphrases (KPs) from text documents is a fundamental task in natural language processing and information retrieval. Vast majority of the benchmark datasets for this task are from the scientific domain contai…
ArticlesInformation RetrievalKeyphrase ExtractionKeyphrase Generation+1Supervised and Unsupervised Categorization of an Imbalanced Italian Crime News Dataset
The automatic categorization of crime news is useful to create statistics on the type of crimes occurring in a certain area. This assignment can be treated as a text categorization problem. Several studies have shown tha…
ArticlesKeyphrase ExtractionLemmatizationText Categorization+1Unsupervised Keyphrase Extraction via Interpretable Neural Networks
Keyphrase extraction aims at automatically extracting a list of "important" phrases representing the key concepts in a document. Prior approaches for unsupervised keyphrase extraction resorted to heuristic notions of phr…
ArticlesKeyphrase ExtractionTopic ClassificationTopic Aware Contextualized Embeddings for High Quality Phrase Extraction
Keyphrase extraction from a given document is the task of automatically extracting salient phrases that best describe the document. This paper proposes a novel unsupervised graph-based ranking method to extract high-qual…
Keyphrase ExtractionVocal Bursts Intensity PredictionLearning Rich Representation of Keyphrases from Text
In this work, we explore how to train task-specific language models aimed towards learning rich representation of keyphrases from text documents. We experiment with different masking strategies for pre-training transform…
Abstractive Text SummarizationKeyphrase ExtractionKeyphrase Generationnamed-entity-recognition+5Enhancing Keyphrase Extraction from Academic Articles with their Reference Information
With the development of Internet technology, the phenomenon of information overload is becoming more and more obvious. It takes a lot of time for users to obtain the information they need. However, keyphrases that summar…
ArticlesKeyphrase ExtractionUnsupervised Keyphrase Extraction via Interpretable Neural Networks
Keyphrase extraction aims at automatically extracting a list of "important'' phrases which represent the key concepts in a document. Traditionally, it has been approached from an information-theoretic angle using phrase …
ArticlesKeyphrase ExtractionMDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction
Keyphrase extraction (KPE) automatically extracts phrases in a document that provide a concise summary of the core content, which benefits downstream information retrieval and NLP tasks. Previous state-of-the-art methods…
Contrastive LearningDocument EmbeddingInformation RetrievalKeyphrase Extraction+1Keyphrase Extraction Using Neighborhood Knowledge Based on Word Embeddings
Keyphrase extraction is the task of finding several interesting phrases in a text document, which provide a list of the main topics within the document. Most existing graph-based models use co-occurrence links as cohesio…
Keyphrase ExtractionWord EmbeddingsAttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions
Keyword or keyphrase extraction is to identify words or phrases presenting the main topics of a document. This paper proposes the AttentionRank, a hybrid attention model, to identify keyphrases from a document in an unsu…
Keyphrase ExtractionLanguage ModelingLanguage ModellingSentenceContext or No Context? A preliminary exploration of human-in-the-loop approach for Incremental Temporal Summarization in meetings
Incremental meeting temporal summarization, summarizing relevant information of partial multi-party meeting dialogue, is emerging as the next challenge in summarization research. Here we examine the extent to which human…
Keyphrase ExtractionSemantic Role LabelingKeyphrase Extraction with Incomplete Annotated Training Data
Extracting keyphrases that summarize the main points of a document is a fundamental task in natural language processing. Supervised approaches to keyphrase extraction(KPE) are largely developed based on the assumption th…
Keyphrase ExtractionDeep Keyphrase Completion
Keyphrase provides accurate information of document content that is highly compact, concise, full of meanings, and widely used for discourse comprehension, organization, and text retrieval. Though previous studies have m…
DecoderKeyphrase ExtractionKeyphrase GenerationRetrieval+1Importance Estimation from Multiple Perspectives for Keyphrase Extraction
Keyphrase extraction is a fundamental task in Natural Language Processing, which usually contains two main parts: candidate keyphrase extraction and keyphrase importance estimation. From the view of human understanding d…
ChunkingKeyphrase ExtractionMulti-Task LearningPrioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning
The COVID-19 pandemic triggered a wave of novel scientific literature that is impossible to inspect and study in a reasonable time frame manually. Current machine learning methods offer to project such body of literature…
Keyphrase ExtractionRepresentation Learning