Papers Keyphrase Extraction
“Keyphrase Extraction” 태그가 달린 논문 160편 · 필터 해제
Learning Rich Representation of Keyphrases from Text
In this work, we explore how to learn task-specific language models aimed towards learning rich representation of keyphrases from text documents. We experiment with different masking strategies for training transformer l…
Abstractive Text SummarizationKeyphrase ExtractionKeyphrase Generationnamed-entity-recognition+5MDERank: 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 (SOTA) …
Contrastive LearningDocument EmbeddingInformation RetrievalKeyphrase Extraction+2Multi-Document Keyphrase Extraction: Dataset, Baselines and Review
Keyphrase extraction has been extensively researched within the single-document setting, with an abundance of methods, datasets and applications. In contrast, multi-document keyphrase extraction has been infrequently stu…
Keyphrase ExtractionUnsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context
Embedding based methods are widely used for unsupervised keyphrase extraction (UKE) tasks. Generally, these methods simply calculate similarities between phrase embeddings and document embedding, which is insufficient to…
Document EmbeddingKeyphrase ExtractionNested and Balanced Entity Recognition using Multi-Task Learning
Entity Recognition (ER) within a text is a fundamental exercise in Natural Language Processing, enabling further depending tasks such as Knowledge Extraction, Text Summarisation, or Keyphrase Extraction. An entity consis…
Keyphrase ExtractionMulti-Task LearningNERKeyphrase Extraction from Scientific Articles via Extractive Summarization
Automatically extracting keyphrases from scholarly documents leads to a valuable concise representation that humans can understand and machines can process for tasks, such as information retrieval, article clustering and…
ArticlesExtractive SummarizationInformation RetrievalKeyphrase Extraction+1Word centrality constrained representation for keyphrase extraction
To keep pace with the increased generation and digitization of documents, automated methods that can improve search, discovery and mining of the vast body of literature are essential. Keyphrases provide a concise represe…
Keyphrase ExtractionUCPhrase: Unsupervised Context-aware Quality Phrase Tagging
Identifying and understanding quality phrases from context is a fundamental task in text mining. The most challenging part of this task arguably lies in uncommon, emerging, and domain-specific phrases. The infrequent nat…
Keyphrase ExtractionLanguage ModellingPhrase RankingPhrase Tagging+1Wizard of Search Engine: Access to Information Through Conversations with Search Engines
Conversational information seeking (CIS) is playing an increasingly important role in connecting people to information. Due to the lack of suitable resource, previous studies on CIS are limited to the study of theoretica…
Intent DetectionKeyphrase ExtractionResponse GenerationUIUC_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP Contributions
We propose a cascade of neural models that performs sentence classification, phrase recognition, and triple extraction to automatically structure the scholarly contributions of NLP publications. To identify the most impo…
Keyphrase ExtractionRelation ExtractionSentenceSentence ClassificationExploiting Position and Contextual Word Embeddings for Keyphrase Extraction from Scientific Papers
Keyphrases associated with research papers provide an effective way to find useful information in the large and growing scholarly digital collections. In this paper, we present KPRank, an unsupervised graph-based algorit…
Keyphrase ExtractionPositionWord EmbeddingsELSKE: Efficient Large-Scale Keyphrase Extraction
Keyphrase extraction methods can provide insights into large collections of documents such as social media posts. Existing methods, however, are less suited for the real-time analysis of streaming data, because they are …
Information RetrievalKeyphrase ExtractionKeyword ExtractionMulti-Document Summarization+1KeyGames: A Game Theoretic Approach to Automatic Keyphrase Extraction
In this paper, we introduce two advancements in the automatic keyphrase extraction (AKE) space - KeyGames and pke+. KeyGames is an unsupervised AKE framework that employs the concept of evolutionary game theory and consi…
Keyphrase ExtractionSaSAKE: Syntax and Semantics Aware Keyphrase Extraction from Research Papers
Keyphrases in a research paper succinctly capture the primary content of the paper and also assist in indexing the paper at a concept level. Given the huge rate at which scientific papers are published today, it is impor…
Keyphrase ExtractionSentenceUnderstanding the Tradeoff between Cost and Quality of Expert Annotations for Keyphrase Extraction
Generating expert ground truth annotations of documents can be a very expensive process. However, such annotations are essential for training domain-specific keyphrase extraction models, especially when utilizing data-in…
Keyphrase ExtractionAutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises
With the renaissance of deep learning, neural networks have achieved promising results on many natural language understanding (NLU) tasks. Even though the source codes of many neural network models are publicly available…
Keyphrase ExtractionNatural Language UnderstandingIncorporating Multimodal Information in Open-Domain Web Keyphrase Extraction
Open-domain Keyphrase extraction (KPE) on the Web is a fundamental yet complex NLP task with a wide range of practical applications within the field of Information Retrieval. In contrast to other document types, web page…
Information RetrievalKeyphrase ExtractionRetrievalKeyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference
Keyphrase extraction (KE) aims to summarize a set of phrases that accurately express a concept or a topic covered in a given document. Recently, Sequence-to-Sequence (Seq2Seq) based generative framework is widely used in…
DecoderKeyphrase ExtractionRepresentation LearningConstrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation
Despite significant progress, state-of-the-art abstractive summarization methods are still prone to hallucinate content inconsistent with the source document. In this paper, we propose Constrained Abstractive Summarizati…
Abstractive Text SummarizationKeyphrase ExtractionA Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents
Keyphrase extraction is the task of extracting a small set of phrases that best describe a document. Most existing benchmark datasets for the task typically have limited numbers of annotated documents, making it challeng…
ArticlesKeyphrase Extraction