Papers Keyphrase Extraction
“Keyphrase Extraction” 태그가 달린 논문 160편 · 필터 해제
Automated Annotation of Scientific Texts for ML-based Keyphrase Extraction and Validation
Advanced omics technologies and facilities generate a wealth of valuable data daily; however, the data often lacks the essential metadata required for researchers to find and search them effectively. The lack of metadata…
Keyphrase ExtractionKeyword ExtractionBibRank: Automatic Keyphrase Extraction Platform Using~Metadata
Automatic Keyphrase Extraction involves identifying essential phrases in a document. These keyphrases are crucial in various tasks such as document classification, clustering, recommendation, indexing, searching, summari…
ClusteringDocument ClassificationKeyphrase ExtractionText SimplificationSimCKP: 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 GenerationDetecting Relevant Information in High-Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis
The growing use of digital communication platforms has given rise to various criminal activities, such as grooming and drug dealing, which pose significant challenges to law enforcement and forensic experts. This paper p…
Keyphrase ExtractionEffective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP
Large language models (LLMs) have demonstrated significant capability to generalize across a large number of NLP tasks. For industry applications, it is imperative to assess the performance of the LLM on unlabeled produc…
Keyphrase ExtractionEntropyRank: Unsupervised Keyphrase Extraction via Side-Information Optimization for Language Model-based Text Compression
We propose an unsupervised method to extract keywords and keyphrases from texts based on a pre-trained language model (LM) and Shannon's information maximization. Specifically, our method extracts phrases having the high…
Keyphrase ExtractionLanguage ModelingLanguage ModellingText CompressionEnhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction
Keyphrase extraction (KPE) is an important task in Natural Language Processing for many scenarios, which aims to extract keyphrases that are present in a given document. Many existing supervised methods treat KPE as sequ…
Keyphrase ExtractionEnhancing In-Context Learning with Answer Feedback for Multi-Span Question Answering
Whereas the recent emergence of large language models (LLMs) like ChatGPT has exhibited impressive general performance, it still has a large gap with fully-supervised models on specific tasks such as multi-span question …
In-Context LearningKeyphrase ExtractionQuestion AnsweringEnhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings
In this study, we investigate using graph neural network (GNN) representations to enhance contextualized representations of pre-trained language models (PLMs) for keyphrase extraction from lengthy documents. We show that…
Graph Neural NetworkKeyphrase ExtractionPromptRank: Unsupervised Keyphrase Extraction Using Prompt
The keyphrase extraction task refers to the automatic selection of phrases from a given document to summarize its core content. State-of-the-art (SOTA) performance has recently been achieved by embedding-based algorithms…
DecoderKeyphrase ExtractionLanguage ModelingLanguage ModellingKPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation
Despite the significant advancements in keyphrase extraction and keyphrase generation methods, the predominant approach for evaluation mainly relies on exact matching with human references. This scheme fails to recognize…
DiversityKeyphrase ExtractionKeyphrase GenerationMUG: A General Meeting Understanding and Generation Benchmark
Listening to long video/audio recordings from video conferencing and online courses for acquiring information is extremely inefficient. Even after ASR systems transcribe recordings into long-form spoken language document…
Extractive SummarizationKeyphrase ExtractionTopic coverageOverview of the ICASSP 2023 General Meeting Understanding and Generation Challenge (MUG)
ICASSP2023 General Meeting Understanding and Generation Challenge (MUG) focuses on prompting a wide range of spoken language processing (SLP) research on meeting transcripts, as SLP applications are critical to improve u…
Extractive SummarizationKeyphrase ExtractionW2KPE: Keyphrase Extraction with Word-Word Relation
This paper describes our submission to ICASSP 2023 MUG Challenge Track 4, Keyphrase Extraction, which aims to extract keyphrases most relevant to the conference theme from conference materials. We model the challenge as …
Keyphrase Extractionnamed-entity-recognitionNamed Entity RecognitionRelation+1Theme-driven Keyphrase Extraction to Analyze Social Media Discourse
Social media platforms are vital resources for sharing self-reported health experiences, offering rich data on various health topics. Despite advancements in Natural Language Processing (NLP) enabling large-scale social …
Keyphrase ExtractionLanguage ModellingLarge Language ModelTA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract)
Keyphrase identification and classification is a Natural Language Processing and Information Retrieval task that involves extracting relevant groups of words from a given text related to the main topic. In this work, we …
Domain AdaptationInformation RetrievalKeyphrase ExtractionMulti-Task Learning+1Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study
Neural models that do not rely on pre-training have excelled in the keyphrase generation task with large annotated datasets. Meanwhile, new approaches have incorporated pre-trained language models (PLMs) for their data e…
DecoderKeyphrase ExtractionKeyphrase GenerationPatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction
Keyphrase extraction is the process of automatically selecting a small set of most relevant phrases from a given text. Supervised keyphrase extraction approaches need large amounts of labeled training data and perform po…
Keyphrase ExtractionDuration modeling with semi-Markov Conditional Random Fields for keyphrase extraction
Existing methods for keyphrase extraction need preprocessing to generate candidate phrase or post-processing to transform keyword into keyphrase. In this paper, we propose a novel approach called duration modeling with s…
Keyphrase ExtractionSentenceImproving Keyphrase Extraction with Data Augmentation and Information Filtering
Keyphrase extraction is one of the essential tasks for document understanding in NLP. While the majority of the prior works are dedicated to the formal setting, e.g., books, news or web-blogs, informal texts such as vide…
Data Augmentationdocument understandingKeyphrase Extraction