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Adaptive information extraction

Jordi Turmo, Alicia Ageno, Neus Català
2006 ACM Computing Surveys  
The growing availability of on-line textual sources and the potential number of applications of knowledge acquisition from textual data has lead to an increase in Information Extraction (IE) research.  ...  This survey describes and compares the main approaches to IE and the different ML techniques used to achieve Adaptive IE technology.  ...  Thus, Section 5 is devoted to the use of Machine Learning (ML) techniques for Adaptive Information Extraction.  ... 
doi:10.1145/1132956.1132957 fatcat:usu2uodawzf5hh2ibl7ufo2y6y

Adaptive Information Extraction: Core Technologies for Information Agents [chapter]

Nicholas Kushmerick, Bernd Thomas
2003 Lecture Notes in Computer Science  
The adaptive information extraction research community has developed a wide variety of techniques and approaches, each tailored to particular extraction tasks and document types.  ...  This chapter focuses on the use of machine learning to enable adaptive information extraction systems that automatically learn extraction rules from training data in order to scale with the number of sources  ...  Adaptive information extraction thus exhibits a familiar expressiveness-complexity tradeoff.  ... 
doi:10.1007/3-540-36561-3_4 fatcat:peutiprqsnd2re3nuycsvwquxu

Domain adaptation of information extraction models

Rahul Gupta, Sunita Sarawagi
2009 SIGMOD record  
Domain adaptation refers to the process of adapting an extraction model trained in one domain to another related domain with only unlabeled data.  ...  We describe our approach for adapting record extraction models that exploits the regularity within a domain to jointly label records without retraining any model.  ...  Such forms of domain adaptation will be essential in any large scale information extraction system involving multiple kinds of extraction tasks on evolving and openended sources.  ... 
doi:10.1145/1519103.1519109 fatcat:m7dikghxcrdolalffhycchvap4

Can We Make Information Extraction More Adaptive? [chapter]

Yorick Wilks, Roberta Catizone
1999 Lecture Notes in Computer Science  
It seems widely agreed that IE (Information Extraction) is now a tested language technology that has reached precision+recall values that put it in about the same position as Information Retrieval and  ...  The problem for wider deployment of the technology is adaptability: the ability to customize IE rapidly to new domains.  ...  which the information has been extracted.  ... 
doi:10.1007/3-540-48089-7_1 fatcat:q33ux5rdg5e6vnpq3mrchi4lpa

Adaptive Scaling for Sparse Detection in Information Extraction [article]

Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun
2018 arXiv   pre-print
This paper focuses on detection tasks in information extraction, where positive instances are sparsely distributed and models are usually evaluated using F-measure on positive classes.  ...  In this paper, we propose adaptive scaling, an algorithm which can handle the positive sparsity problem and directly optimize over F-measure via dynamic cost-sensitive learning.  ...  Introduction Detection problems, aiming to identify occurrences of specific kinds of information (e.g., events, relations, or entities) in documents, are fundamental and widespread in information extraction  ... 
arXiv:1805.00250v2 fatcat:clkac2jkljgvfmq4syly4q5uom

Adaptive Scaling for Sparse Detection in Information Extraction

Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun
2018 Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
This paper focuses on detection tasks in information extraction, where positive instances are sparsely distributed and models are usually evaluated using F-measure on positive classes.  ...  In this paper, we propose adaptive scaling, an algorithm which can handle the positive sparsity problem and directly optimize over F-measure via dynamic costsensitive learning.  ...  Introduction Detection problems, aiming to identify occurrences of specific kinds of information (e.g., events, relations, or entities) in documents, are fundamental and widespread in information extraction  ... 
doi:10.18653/v1/p18-1095 dblp:conf/acl/SunHLL18 fatcat:sss5bxtmzjb7llgiianqhrevwe

LearningPinocchio: adaptive information extraction for real world applications

F. CIRAVEGNA, A. LAVELLI
2004 Natural Language Engineering  
In this paper we describe LearningPinocchio, a system for adaptive Information Extraction from texts that is having good commercial and scientific success.  ...  The new frontier of research on Information Extraction from texts is portability without any knowledge of Natural Language Processing.  ...  Most of the current approaches are based on an adaptation phase in which users provide a set of texts with the associated relevant information manually extracted.  ... 
doi:10.1017/s135132490400333x fatcat:y4icfby2ivaavpluicnor6rjta

Adapting Open Information Extraction to Domain-Specific Relations

Stephen Soderland, Brendan Roof, Bo Qin, Shi Xu, Mausam, Oren Etzioni
2010 The AI Magazine  
Information extraction (IE) can identify a set of relations from free text to support question answering (QA).  ...  Until recently, IE systems were domain-specific and needed a combination of manual engineering and supervised learning to adapt to each target domain.  ...  information about persons and organizations.  ... 
doi:10.1609/aimag.v31i3.2305 fatcat:dt6hu6tzgve47a2oe2r75u3rse

Adaptive information extraction for document annotation in amilcare

Fabio Ciravegna, Alexiei Dingli, Yorick Wilks, Daniela Petrelli
2002 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '02  
Amilcare is a tool for Adaptive Information Extraction (IE) designed for supporting active annotation of documents for the Semantic Web (SW).  ...  Moreover validating extracted information is a much simpler task than tagging bare texts (and also less error prone), speeding up the process considerably.  ...  Experimentation, Human Factors, Theory Amilcare is a tool for Adaptive Information Extraction (IE) designed for supporting active annotation of documents for the Semantic Web (SW).  ... 
doi:10.1145/564376.564492 dblp:conf/sigir/CiravegnaDWP02a fatcat:idx3tidorbeojpudqpy4xz2js4

P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts [article]

Benjamin Newman, Prafulla Kumar Choubey, Nazneen Rajani
2022 arXiv   pre-print
P-Adapters perform comparably to the more complex MoE models in extracting factual information from BERT and RoBERTa while eliminating the need for additional annotations.  ...  ., 2019)) has found that the quality of the factual information extracted from Large Language Models (LLMs) depends on the prompts used to query them.  ...  CONCLUSION LLMs implicitly learn factual information during pretraining, but accurately and consistently extracting this information is challenging.  ... 
arXiv:2110.07280v2 fatcat:f347bvfmsngzpgeztzomsxg744

Collaborative Adaptive Filters for Online Knowledge Extraction and Information Fusion [chapter]

Beth Jelfs, Phebe Vayanos, Soroush Javidi, Vanessa Su Lee Goh, Danilo Mandic
2008 Signal Processing Techniques for Knowledge Extraction and Information Fusion  
We present a method for extracting information (or knowledge) about the nature of a signal, this is achieved by employing recent developments in signal characterisation for online analysis of the changes  ...  We show that it is possible to use the fusion of the outputs of adaptive filters to produce a single collaborative hybrid filter and that by tracking the dynamics of the mixing parameter of this filter  ...  We present a method for extracting information (or knowledge) about the nature of a signal, this is achieved by employing recent developments in signal characterisation for online analysis of the changes  ... 
doi:10.1007/978-0-387-74367-7_1 fatcat:pyhbwt2pmvawhgmwn47nihyt4a

Contour Extraction Based on Adaptive Thresholding in Sonar Images

Antonios Andreatos, Apostolos Leros
2021 Information  
The algorithm is simple, robust and adaptive and can be used in automatic target recognition, classification and storage in large-scale multimedia databases.  ...  In this paper, an innovative algorithm improving contour extraction is presented.  ...  The objective of this work is to propose adaptive thresholding methods for contour extraction in side-scan sonar images, confronting shadows and other impairments produced by various causes.  ... 
doi:10.3390/info12090354 fatcat:mzcps7nhbzhlpdjqucr6nfhneq

A Feature Points Extraction Algorithm Based on Adaptive Information Entropy

Dan Yin, Siwei Zhou, Pengcheng Wang, Manling Lin, Hui Song, Feng Ke, Kaiqing Luo
2020 IEEE Access  
INDEX TERMS Adaptive algorithm, information entropy, image matching, feature extraction.  ...  To deal with the problem, a feature points extraction algorithm based on adaptive information entropy, i.e., Adaptive Information Entropy Feature (AIEF) algorithm is proposed.  ...  We propose the Adaptive Information Entropy Feature (AIEF) algorithm which combines the information entropy [19] , [20] and adaptive methods [21] with the feature point extraction algorithm of ORB-SLAM2  ... 
doi:10.1109/access.2020.3008457 fatcat:rgqbdnhj6felzjvrby7xgtlfda

An Overview and Classification of Adaptive Approaches to Information Extraction [chapter]

Christian Siefkes, Peter Siniakov
2005 Lecture Notes in Computer Science  
The area of information extraction (IE) comprises techniques, algorithms and methods performing two important tasks: finding (identifying) the desired, relevant data and storing it in appropriate form  ...  Most of the information stored in digital form is hidden in natural language texts.  ...  Remarkably, the information is extracted exhaustively, that is, everything identified as information is extracted.  ... 
doi:10.1007/11603412_6 fatcat:szbm5g25ivd7xnaydroojhbncy

Adaptive Script-Independent Text Line Extraction

Majid ZIARATBAN, Karim FAEZ
2011 IEICE transactions on information and systems  
In this paper, an adaptive block-based text line extraction algorithm is proposed.  ...  Three global and two local parameters are defined to adapt the method to various handwritings in different languages. A document image is segmented into several overlapping blocks.  ...  Text regions in each block are detected and some information about these regions is extracted. Text lines are extracted by using the information about the detected text regions.  ... 
doi:10.1587/transinf.e94.d.866 fatcat:6yjjzgvhvzfuhea7rdjz5qabfq
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