Papers Keyphrase Extraction
“Keyphrase Extraction” 태그가 달린 논문 160편 · 필터 해제
Enhancing Keyphrase Extraction from Microblogs using Human Reading Time
The premise of manual keyphrase annotation is to read the corresponding content of an annotated object. Intuitively, when we read, more important words will occupy a longer reading time. Hence, by leveraging human readin…
Keyphrase ExtractionPersian Keyphrase Generation Using Sequence-to-Sequence Models
Keyphrases are a very short summary of an input text and provide the main subjects discussed in the text. Keyphrase extraction is a useful upstream task and can be used in various natural language processing problems, fo…
ArticlesInformation RetrievalKeyphrase ExtractionKeyphrase Generation+2PerKey: A Persian News Corpus for Keyphrase Extraction and Generation
Keyphrases provide an extremely dense summary of a text. Such information can be used in many Natural Language Processing tasks, such as information retrieval and text summarization. Since previous studies on Persian key…
ArticlesInformation RetrievalKeyphrase ExtractionRetrieval+1Improving Joint Layer RNN based Keyphrase Extraction by Using Syntactical Features
Keyphrase extraction as a task to identify important words or phrases from a text, is a crucial process to identify main topics when analyzing texts from a social media platform. In our study, we focus on text written in…
Data AugmentationKeyphrase ExtractionSelect, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention
Natural language processing techniques have demonstrated promising results in keyphrase generation. However, one of the major challenges in \emph{neural} keyphrase generation is processing long documents using deep neura…
Keyphrase ExtractionKeyphrase GenerationSEAL: Scientific Keyphrase Extraction and Classification
Automatic scientific keyphrase extraction is a challenging problem facilitating several downstream scholarly tasks like search, recommendation, and ranking. In this paper, we introduce SEAL, a scholarly tool for automati…
ClassificationGeneral ClassificationKeyphrase ExtractionGLEAKE: Global and Local Embedding Automatic Keyphrase Extraction
Automated methods for granular categorization of large corpora of text documents have become increasingly more important with the rate scientific, news, medical, and web documents are growing in the last few years. Autom…
Document SummarizationInformation RetrievalKeyphrase ExtractionRetrievalCapturing Global Informativeness in Open Domain Keyphrase Extraction
Open-domain KeyPhrase Extraction (KPE) aims to extract keyphrases from documents without domain or quality restrictions, e.g., web pages with variant domains and qualities. Recently, neural methods have shown promising r…
ChunkingInformativenessKeyphrase ExtractionPrivacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies
Organisations disclose their privacy practices by posting privacy policies on their website. Even though users often care about their digital privacy, they often don't read privacy policies since they require a significa…
Document ClassificationKeyphrase ExtractionKeyphrase Prediction With Pre-trained Language Model
Recently, generative methods have been widely used in keyphrase prediction, thanks to their capability to produce both present keyphrases that appear in the source text and absent keyphrases that do not match any source …
Keyphrase ExtractionKeyphrase GenerationLanguage ModelingLanguage Modelling+2Finding Black Cat in a Coal Cellar -- Keyphrase Extraction & Keyphrase-Rubric Relationship Classification from Complex Assignments
Diversity in content and open-ended questions are inherent in complex assignments across online graduate programs. The natural scale of these programs poses a variety of challenges across both peer and expert feedback in…
DiversityGeneral ClassificationKeyphrase ExtractionLarge-Scale Evaluation of Keyphrase Extraction Models
Keyphrase extraction models are usually evaluated under different, not directly comparable, experimental setups. As a result, it remains unclear how well proposed models actually perform, and how they compare to each oth…
Keyphrase ExtractionKeyphrase Extraction with Span-based Feature Representations
Keyphrases are capable of providing semantic metadata characterizing documents and producing an overview of the content of a document. Since keyphrase extraction is able to facilitate the management, categorization, and …
Feature EngineeringKeyphrase ExtractionManagementRetrievalVisual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction
Effective learning with audiovisual content depends on many factors. Besides the quality of the learning resource's content, it is essential to discover the most relevant and suitable video in order to support the learni…
Keyphrase ExtractionOptical Character RecognitionOptical Character Recognition (OCR)speech-recognition+3Open Domain Web Keyphrase Extraction Beyond Language Modeling
This paper studies keyphrase extraction in real-world scenarios where documents are from diverse domains and have variant content quality. We curate and release OpenKP, a large scale open domain keyphrase extraction data…
Keyphrase ExtractionLanguage ModelingLanguage ModellingKeyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings
In this paper, we formulate keyphrase extraction from scholarly articles as a sequence labeling task solved using a BiLSTM-CRF, where the words in the input text are represented using deep contextualized embeddings. We e…
ArticlesKeyphrase ExtractionWord EmbeddingsKeyphrase Extraction from Disaster-related Tweets
While keyphrase extraction has received considerable attention in recent years, relatively few studies exist on extracting keyphrases from social media platforms such as Twitter, and even fewer for extracting disaster-re…
Keyphrase ExtractionPOSWord EmbeddingsTopical Keyphrase Extraction with Hierarchical Semantic Networks
Topical keyphrase extraction is used to summarize large collections of text documents. However, traditional methods cannot properly reflect the intrinsic semantics and relationships of keyphrases because they rely on a s…
Keyphrase ExtractionComplex Network based Supervised Keyword Extractor
In this paper, we present a supervised framework for automatic keyword extraction from single document. We model the text as complex network, and construct the feature set by extracting select node properties from it. Se…
Keyphrase ExtractionKeyword ExtractionUsing Human Attention to Extract Keyphrase from Microblog Post
This paper studies automatic keyphrase extraction on social media. Previous works have achieved promising results on it, but they neglect human reading behavior during keyphrase annotating. The human attention is a cruci…
Keyphrase Extraction