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Conceptual Extraction of Compound Korean Keywords

Samuel Sangkon Lee
2020 Journal of Information Processing Systems  
With that in mind, this study suggests a smarter and more efficient keyword extraction method wherein scholarly journals are used as the basis for the establishment of production rules based on a concept  ...  To identify the validity of extracted keywords, titles and abstracts of journals about natural language and auditory language were collected for analysis.  ...  Keyword Extraction This section attempts to extract keywords based on concepts.  ... 
doi:10.3745/jips.02.0131 dblp:journals/jips/Lee20 fatcat:6dqr6vh6lzgvvdwfhpw4m2qtte

AI-Josyu: Thinking Support System in Class by Real-time Speech Recognition and Keyword Extraction

Kyohei Matsumoto, Takafumi Nakanishi, Toshitada Sakawa, Kengo Onodera, Shinichiro Orimo, Hiroyuki Kobayashi
2019 Emitter: International Journal of Engineering Technology  
AI-Josyu is implemented based on media-driven real-time content management framework. The system links real world media and legacy media contents together.  ...  The system realizes interconnection and utilization of legacy media contents. The legacy media contents are generated and scattered on the Internet.  ...  Metadata extraction function has speech recognition function. It conducts a transcription and extracts keywords. The related words are provided by the keyword management function.  ... 
doi:10.24003/emitter.v7i1.373 fatcat:roit2636ifdixcbfthih65ts74

Intention understanding based on multi-source information integration for Chinese Mandarin spoken commands

Jia Jia, Yongxin Wang, Zhu Ren, Lianhong Cai
2012 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery  
For command content detection, we propose a strategy of keyword combinations analysis using concept restrictions, based on N-best speech recognition results.  ...  speech recognized text.  ...  And this work is supported by Tsinghua -Tencent Joint Laboratory for Internet Innovation Technology, and funded by Tsinghua National Laboratory for Information Science and Technology (TNList)Cross-discipline  ... 
doi:10.1109/fskd.2012.6233831 dblp:conf/fskd/JiaWRC12 fatcat:ogkdieyf25hftlsss2apq6bb2y

Using n-best recognition output for extractive summarization and keyword extraction in meeting speech

Yang Liu, Shasha Xie, Fei Liu
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
These results suggest worthy future studies using n-best or lattices as the interface between speech recognition and downstream tasks.  ...  This paper presents an initial study using n-best recognition hypotheses for two tasks, extractive summarization and keyword extraction.  ...  CONCLUSION This paper presents a study using n-best as the interface between ASR and two meeting understanding tasks, extractive summarization and keyword extraction.  ... 
doi:10.1109/icassp.2010.5494972 dblp:conf/icassp/LiuXL10 fatcat:qlql4lzeivbi3dex3iereao44e

A tag-based framework for extracting spoken surrogates

Hyun Hee Kim
2012 Proceedings of the American Society for Information Science and Technology  
Last, on the basis of our findings and previous studies, we proposed and evaluated a tag-based framework for generating lecture video speech.  ...  Then, we examined the means to present extracted speech summaries.  ...  We assigned a weight value of 1 to each one-word tag and a weight value of 2 to each compound tag. (3)Keyword Score Computing: A keyword score (Sim 1 ) was computed from the match between tag/title words  ... 
doi:10.1002/meet.14504901385 fatcat:sa6oihajpbhadgzmjo3ose7tri

A tag-based framework for extracting spoken surrogates

Hyun Hee Kim
2012 Proceedings of the American Society for Information Science and Technology  
Last, on the basis of our findings and previous studies, we proposed and evaluated a tag-based framework for generating lecture video speech.  ...  Then, we examined the means to present extracted speech summaries.  ...  We assigned a weight value of 1 to each one-word tag and a weight value of 2 to each compound tag. (3)Keyword Score Computing: A keyword score (Sim 1 ) was computed from the match between tag/title words  ... 
doi:10.1002/meet.14504901177 fatcat:kphhpa65mvaxzdexoe25hkx6zm

Supporting Real Estate Search Through Automatic Information Suggestion

Goro Otsubo
2018 International Conference on Intelligent User Interfaces  
Then system listens conversation between users. From the conversation, system extracts keyword and suggest detailed search condition and real estate information search results with those conditions.  ...  We will discuss system design, algorithm used to link spoken words and detailed search condition and preliminary test results.  ...  Related words extracted using Word2Vec depends on nature of training data set.  ... 
dblp:conf/iui/Otsubo18a fatcat:vijbfsuzabedji7fjqncdi6apy

Modal Keywords, Ontologies, and Reasoning for Video Understanding [chapter]

Alejandro Jaimes, Belle L. Tseng, John R. Smith
2003 Lecture Notes in Computer Science  
A method is presented to automatically classify keywords from speech recognition, queries, or related text into these categories using WordNet and TGM I.  ...  Our framework consists of an expert system that uses a rule-based engine, domain knowledge, visual detectors (for objects and scenes), and metadata (text from automatic speech recognition, related text  ...  Then we propose a novel framework for video understanding based on three main components as illustrated in Figure 1 : (1) inputs, (2) modal keywords and knowledge bases, and (3) reasoning engine.  ... 
doi:10.1007/3-540-45113-7_25 fatcat:yup2ep6gfbahfadczhhsftcrsm

On Time Document Retrieval using Speech Conversation and Diverse Keyword Clustering During Presentations

2020 International journal of recent technology and engineering  
In this paper we present the idea of extracting keywords from discussions, with the point of using these words to recuperate, for each small piece of conversation and generating reports to individuals.  ...  in the word set, to organize the potential contrasting characteristics of subjects and diminish ASR disturbance.  ...  So using TF-IDF for extracting relevant words based on ranking consider them as keyword is easier approach.  ... 
doi:10.35940/ijrte.c4544.099320 fatcat:u2ippfsmhzg7fcn4py7xaw3ysa

Unsupervised Key-phrase Extraction using Noun Phrases

Shailendra Singh, Shubhrita Tiwari, Anubha Varshney, Ajit Sharma
2017 International Journal of Computer Applications  
In this paper, we have suggested a methodology that uses the noun words and phrases, their occurrence and co-occurrences to generate the keywords.  ...  The method, employing both the statistical and linguistic features, has been successful in extracting the keywords and phrases to tag a text that best summarizes its content.  ...  For this, a window is selected on N words, usually N ranges between 2 and 10.  ... 
doi:10.5120/ijca2017913171 fatcat:w75ohtohtfcmndn5k7vio7ejtq

Improved Rapid Automatic Keyword Extraction for Voice-based Mechanical Arm Control

Chi-Huang Shih, Cheng-Jian Lin, Shiou-Yun Jeng
2021 Sensors and materials  
In this study, we use the Google speech recognition engine to convert input speech into text information, and then perform speech recognition, word segmentation, and part-of-speech (POS) tagging.  ...  We also propose an improved rapid automatic keyword extraction (IRAKE) method, which uses the word string matching feature in the dictionary method to correspond to the relevant execution action function  ...  Rada and Paul (12) proposed the TextRank method based on graph sorting to extract keywords in text.  ... 
doi:10.18494/sam.2021.3266 fatcat:x7erabwhybgqbjn6tcaovaupyi

Keyphrase Extraction from Document Using RAKE and TextRank Algorithms

J.S. Baruni, Dr. J.G.R . Sathiaseelan
2020 International journal of computer science and mobile computing  
Traditional approaches to extract useful Keyphrase from a sentence rely heavily on human effort.  ...  RAKE and TextRank techniques applied to find and analyze the best possible way of extracting the Keyphrase efficiently.  ...  TextRank Algorithm In general, Text Rank creates a graph of the words and relationships between them from a document, then identifies the most important vertices of the graph (words) based on importance  ... 
doi:10.47760/ijcsmc.2020.v09i09.009 fatcat:u5ytkygoqfgo7kp3ovwtaf6jqa

Entity and Event Extraction from Scratch Using Minimal Training Data

Laura Wendlandt, Steve Wilson, Oana Ignat, Charles Welch, Li Zhang, Mingzhe Wang, Jia Deng, Rada Mihalcea
2018 Text Analysis Conference  
Acknowledgments This material is based in part upon work supported by the DARPA AIDA program under grant #FA8750-18-2-0019.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Defense Advanced Research Projects Agency.  ...  Entity, Relation, and Event Matching To assign entity types from the ontology to the extracted keywords, we use a nearest-neighbor approach based on word embedding similarity, using the GloVE word emnbeddings  ... 
dblp:conf/tac/WendlandtWIWZWD18 fatcat:5qqqo7blkjdkbgi6zkwsx23wcu

Automatic intonation-based keyword extraction from academic discourse

Natalia Bogach, Yurij Lezhenin, Vadim Diachkov, Anton Lamtev, Artyom Zhuikov, Elena Boitsova, Evgeny Pyshkin
2018 Proceedings of the 2018 Federated Conference on Computer Science and Information Systems  
This paper examines the perspectives of intonation processing for automatic keyword extraction. Based on a discourse intonation model from D.  ...  The original software tool PitchKey-wordExtractor (PKE) was applied to academic discourse (on-line lectures) to extract keywords.  ...  Text mining, automatic data collection indexing, extractive and abstractive text summarization, keyword-based information retrieval as well as other related tasks and applications strongly rely upon the  ... 
doi:10.15439/2018f42 dblp:conf/fedcsis/BogachLDLZBP18 fatcat:vmzyzewdfjfipnhb6mjf6nbyte

Adaptive e-Learning AI-Powered Chatbot based on Multimedia Indexing

Salma El Janati, Abdelilah Maach, Driss El
2020 International Journal of Advanced Computer Science and Applications  
Then, using Natural Language Processing (NLP) techniques, we introduced a new approach to extract keywords. After that, we suggest a new approach for multimedia indexing based on extracted keywords.  ...  The suggested approach aims to have an efficient way to represent the multimedia content based on keywords.  ...  These approaches do not require training data in order to extract the most important keywords in a text. it seeks to define what a keyword, based on certain statistical features and study their relation  ... 
doi:10.14569/ijacsa.2020.0111238 fatcat:zapwayh73ne4hijp5tsz6fhuxu
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