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To the noun phrase recognition problem in application to automatic information extraction from Russian texts
К вопросу об определении границ именных групп при решении задач автоматического извлечения информации из текстов на русском языке

N.A. Vlasova, A.V. Podobryaev
2016 Program systems theory and applications  
To the noun phrase recognition problem in application to automatic information extraction from Russian texts. Abstract.  ...  We consider the problem of complex noun phrase recognition in Russian news texts with application to automatic information extraction.  ... 
doi:10.25209/2079-3316-2016-7-1-153-170 fatcat:qswphpfcknfvxnhbodvmd255va

Automatic Phrase Recognition and Extraction from Text

Fergus Kelledy, Alan F. Smeaton
1997 unpublished
Unlike previous phrase recognition approaches based on NLP, our work requires no linguistic processing of the text in order to extract phrases but is comparable to what is called 'statistical phrases'.  ...  In our case this is achieved through an automatic process of phrase recognition and the incorporation of these phrases into the lexicon of the indexing mechanism used.  ...  By this we mean deriving phrases like 'defence department' from the automatically generated 'department of defence'.  ... 
doi:10.14236/ewic/ir1997.3 fatcat:4qs3jd2jt5cprcka6f7h76azdm

Automatic Entity Recognition and Typing in Massive Text Data

Xiang Ren, Ahmed El-Kishky, Heng Ji, Jiawei Han
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
To extract value from these large, multi-domain pools of text, it is of great importance to gain an understanding of entities and their relationships.  ...  In today's computerized and information-based society, individuals are constantly presented with vast amounts of text data, ranging from news articles, scientific publications, product reviews, to a wide  ...  We mainly emphasize Seg-Phrase, an approach for extracting high-quality phrases and entity mentions with minimal supervision. Entity Recognition in Individual Documents: 1.  ... 
doi:10.1145/2882903.2912567 dblp:conf/sigmod/RenEJH16 fatcat:ycuyy6wdt5ffjjucikqbamvbhq

Voice-activated word processor with automatic learning for dynamic optimization of syllable-templates

Furnio Togawa, Mitsuhiro Hakaridani, Hiroyuki Iwahashi, Torn Ueda
1989 Journal of the Acoustical Society of Japan (E)  
The automatic learning algorithm replaces low-accuracy syllable templates with new patterns extracted from the input speech.  ...  Such learning information is derived from comparison between syllable recognition results and a user-confirmed character string of input phrase as correct, and is accumulated on a phrase-by-phrase basis  ...  The automatic learning algorithm replaces low-accuracy syllable templates with new patterns extracted from the input speech.  ... 
doi:10.1250/ast.10.133 fatcat:ykyi76csvbhhjlcebljfr7jzge

Automatic Entity Recognition and Typing in Massive Text Corpora

Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han
2016 Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion  
These methods can automatically identify token spans as entity mentions in text and label their types (e.g., people, product, food) in a scalable way.  ...  In today's computerized and information-based society, we are soaked with vast amounts of natural language text data, ranging from news articles, product reviews, advertisements, to a wide range of user-generated  ...  to Knowledge (BD2K) initiative (www.bd2k.nih.gov), and MIAS, a DHS-IDS Center for Multimodal Information Access and Synthesis at UIUC.  ... 
doi:10.1145/2872518.2891065 dblp:conf/www/RenEWH16 fatcat:nhwxdfwwpbdgpm2mhuitgnmtkm

Identification of new drug classification terms in textual resources

Corinna Kolářik, Martin Hofmann-Apitius, Marc Zimmermann, Juliane Fluck
2007 Computer applications in the biosciences : CABIOS  
Such phrases could be identified with a high performance in DrugBank text (0.89 Fscore) and in Medline abstracts (0.83 F-score).  ...  The evaluation of terms extracted from Medline showed that 29-53% of them are new valid drug property terms.  ...  ACKNOWLEDGEMENTS This work was technically supported by Temis Deutschland GmbH and financially supported by the Bonn-Aachen International Center for Information Technology (B-IT).  ... 
doi:10.1093/bioinformatics/btm196 pmid:17646305 fatcat:u3w6vhvg7vgsziovqttmdnlapy

Sentimental Analysis from Video

Sayali Kolte, Smita Botre, Prof. Avinash Palave
2018 IJARCCE  
from the speaker to the listener. [6]  ...  We can use, eleven features, namely, pitch, intensity, the first four formants and their bandwidths and standard deviation, are extracted.  ...  Our approach towards sentiment extraction uses two main systems, namely, automatic speech recognition (ASR) system and text-based sentiment extraction system.  ... 
doi:10.17148/ijarcce.2018.71134 fatcat:lkahrlkb4zhhvgy5xlqtf2hzpe

Spoken interactive ODQA system

Chiori Hori, Takaaki Hori, Hajime Tsukada, Hideki Isozaki, Yutaka Sasaki, Eisaku Maeda
2003 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03  
The combination is then used for answer extraction. Experimental results revealed the potential of the generated DQs.  ...  We have been investigating an interactive approach for Open-domain QA (ODQA) and have constructed a spoken interactive ODQA system, SPIQA.  ...  Introduction Open-domain QA (ODQA), which extracts answers from large text corpora, such as newspaper texts, has been intensively investigated in the Text REtrieval Conference (TREC).  ... 
doi:10.3115/1075178.1075204 dblp:conf/acl/HoriHTISM03 fatcat:itdongnhtfaatd7aa4jh3manku

Machine Learning and Security Applications in Digital Library

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
A systematic review of literature is also done and with the help of citation mapping in Web of Science citation network analysis is presented  ...  Using machine learning it is possible to search and retrieve non-textual information. The paper also discusses the machine learning applications in security aspects.  ...  phrase browsing, text mining, and key-phrase extraction.  ... 
doi:10.35940/ijitee.a4718.119119 fatcat:afbz5i443je63mndgcputepubi

Semantic Role Labeling Based Event Argument Identification

Wen Zhou, Yajun Zhang, Xiaoying Su, Yao Li, Zongtian Liu
2016 International Journal of Database Theory and Application  
Event extraction is one of the most challenging tasks of information extraction from text. This paper studies one of the stages of Chinese event extraction, namely, event argument identification.  ...  First, the 5W1H (who, what, whom, when, where, how) information is extracted from the text using semantic role labeling; thereafter, the 5W1H information is mapped to each argument of the event by heuristic  ...  In 2005, Automatic Content Extraction (ACE) added event extraction as part of the tasks.  ... 
doi:10.14257/ijdta.2016.9.6.09 fatcat:dbejiypzjvbaxbhd4yauiluoy4

Design of English Translation Model of Intelligent Recognition Based on Deep Learning

Qian Zhang, Haiping Zhou, Sang-Bing Tsai, Yuchen Li
2022 Mathematical Problems in Engineering  
to compare the data of different languages to obtain the grammar and text-related rules among different languages.  ...  Therefore, other modern intelligent recognition technologies should be adopted to achieve accurate English MT.  ...  In the training stage, the translation rules from the source language phrase to the target language phrase are automatically extracted from the parallel corpus aligned with bilingual sentences, and its  ... 
doi:10.1155/2022/5674397 fatcat:axixlqpddnczlhdtoz7bwbhj3u

News Filtering and Summarization System Architecture for Recognition and Summarization of News Pages

Bam ber, Micah Jason
2017 Bonfring International Journal of Data Mining  
semantics from texts.  ...  Key phrases are subsequently extracted and a semantic link graph is built on the lexical chai. This paper presents the recognition and summarization components of the news summarization (NS) system.  ...  After the automatic recognition and filtering, our system uses a new key-phrase extraction method from Web news content based on semantic relation.  ... 
doi:10.9756/bijdm.8339 fatcat:7wmbt5eumnb4jf2mjgvzgmurda

FLEXICON

Daphne Gelbart, J. C. Smith
1993 Proceedings of the fourth international conference on Artificial intelligence and law - ICAIL '93  
The FLEXICON system was designed to provide legal rofessionals with an effective and c! easy-to-use legal text management tool.  ...  as an external representation used to summarize legal text for rapid evaluation of the search results.  ...  ACKNOWLEDGMENTS This research was sup orted by the Law t Foundation of British Colum ia and the Social Sciences and Humanities  ... 
doi:10.1145/158976.158994 dblp:conf/icail/GelbartS93 fatcat:wyhieo432bfthed3cxj6utottu

Sentiment extraction from natural audio streams

Lakshmish Kaushik, Abhijeet Sangwan, John H. L. Hansen
2013 2013 IEEE International Conference on Acoustics, Speech and Signal Processing  
Finally, using decoded ASR (automatic speech recognition) transcripts and the ME sentiment model, the proposed system is able to estimate the sentiment in the YouTube video.  ...  The proposed technique uses POS (part of speech) tagging and Maximum Entropy modeling (ME) to develop a text-based sentiment detection model.  ...  Our approach towards sentiment extraction uses two main systems, namely, automatic speech recognition (ASR) system and text-based sentiment extraction system.  ... 
doi:10.1109/icassp.2013.6639321 dblp:conf/icassp/KaushikSH13 fatcat:i7mlcgy7jzgrvlgort7e5gxati

Hyperlinking Lyrics: A Method For Creating Hyperlinks Between Phrases In Song Lyrics

Hiromasa Fujihara, Masataka Goto, Jun Ogata
2008 Zenodo  
We also thank everyone who has contributed to building and distributing the atabase.  ...  We therefore apply two different strategies for hyperlinking: one for hyperlinking from a phrase in other text lyrics to the same phrase in the text lyrics, and one for hyperlinking from a phrase in the  ...  Because we cannot directly use phone models for typical automatic speech recognition, we built from scratch our own phone models for singing voices.  ... 
doi:10.5281/zenodo.1418250 fatcat:cjp63nxnejh4ncrj7pczkqxaz4
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