Asanee Kawtrakul
Kasetsart University, Computer Engineering, Faculty Member
In this paper, we present a personal warning system model as one of the main functions of a RICE WATCH system in order to support farmers in rice pest management. The model embodies the concept of time-based notification activated by... more
In this paper, we present a personal warning system model as one of the main functions of a RICE WATCH system in order to support farmers in rice pest management. The model embodies the concept of time-based notification activated by using a crop calendar, and situation-based notification using a BUS model. The system also includes "What to Do Next," a knowledge integration module, in order to provide advice on how to prevent or treat pests appropriately. The warning or notification service is provided to farmers through multi-channels of communication such as SMS, e-mail, internet browser and mobile application. The recommendations or advice will be generated by using an inference engine to deduce disease preventive tasks and/or disease treatment. Based on estimates by Pest Forecasting and Early Warning Group, appropriate management of risk from pests could be reduced by 80%, as well as costs for pest management being reduced by 50%.
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ABSTRACT Mining Know-Why or explanation knowledge will induce a knowledge of reasoning that is beneficial for our daily use in diagnosis. Then, this framework is for discovering causality existing between causative antecedent and... more
ABSTRACT Mining Know-Why or explanation knowledge will induce a knowledge of reasoning that is beneficial for our daily use in diagnosis. Then, this framework is for discovering causality existing between causative antecedent and effective consequent discourse units. There are two main problems in the causality extraction; cause-effect identification and cause-effect boundary determination. The cause-effect identification problem can be solved by learning verb pairs and lexico syntactic pattern (NP1 V NP2) from annotated corpus, using the Naïve Bayes classifier. The cause-effect boundary determination problem can be solved by using centering theory and interesting cue phrase or causality link, where the interesting cue phrase would include the discourse markers and verb phrases. Our model of causality extraction shows the precision and recall of 86% and 70% respectively, where our evaluation is based on the expert's results.
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Summary: BioCaster is an ontology-based text mining system for detecting and tracking the distribution of infectious disease outbreaks from linguistic signals on the Web. The system continuously analyzes documents reported from over 1700... more
Summary: BioCaster is an ontology-based text mining system for detecting and tracking the distribution of infectious disease outbreaks from linguistic signals on the Web. The system continuously analyzes documents reported from over 1700 RSS feeds, classifies them for topical relevance and plots them onto a Google map using geocoded information. The background knowledge for bridging the gap between Layman’s terms and formal-coding systems is contained in the freely available BioCaster ontology which includes information in eight languages focused on the epidemiological role of pathogens as well as geographical locations with their latitudes/longitudes. The system consists of four main stages: topic classification, named entity recognition (NER), disease/location detection and event recognition. Higher order event analysis is used to detect more precisely specified warning signals that can then be notified to registered users via email alerts. Evaluation of the system for topic recog...
With the development of the Internet and the World Wide Web, the enormous amount of knowledge resources becomes the obstacle for knowledge consumers from effectively and efficiently accessing the information needed. To overcome such a... more
With the development of the Internet and the World Wide Web, the enormous amount of knowledge resources becomes the obstacle for knowledge consumers from effectively and efficiently accessing the information needed. To overcome such a problem, knowledge fusion is one of the solutions. This paper introduces the CyberBrain: a framework that combines approaches based on Knowledge Engineering and Language Engineering to provide the effective knowledge service. CyberBrain is a dynamic structure, interconnecting organization and communities. It behaves as a natural ecosystem, self-organizing, emerging and adaptive to acquire, collect, extract, and aggregate the related knowledge. With CyberBrain, appropriate and personalized knowledge services will be provided to support problem solving, decision making and early warning. At the current state, the framework is demonstrated with Rice Knowledge Portal using the PMM (Problem-Methods-Man) map generation. In addition, AGROVOC concept Server1 h...
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The critical issue in ontology construction is to extract concepts and identify ontological relations both in taxonomic and other semantic relations. In large and various domains, this task can be time-consuming and costly. In this paper,... more
The critical issue in ontology construction is to extract concepts and identify ontological relations both in taxonomic and other semantic relations. In large and various domains, this task can be time-consuming and costly. In this paper, we propose the methodology to discover semantic relations embedded in Thai NPs in order to enrich the existing domain ontologies by using machine learning techniques to learn the common ancestral concept of NP’s head and modifier. However, in Thai, there is no knowledge base like WordNet to identify the ancestral concept of term, so we applied Thai-English general dictionary and Thai-English thesaurus to translate Thai words to English words and define each word class from WordNet by using some heuristic rules and some partially decision from the expert. The presented system exhibits performance comparison, in total average, between two machine learning algorithms: SVM and C4.5 are 84.10% and 78.82 % of precision and 76.92% and 73.26 % of recall re...
This paper proposes a method for expanding Thai Lexie from monolingual dictionary to bilingual dictionary by utilizing multiple resources. The existing 100,000 Thai words were used as a query to search web pages for extracting words pair... more
This paper proposes a method for expanding Thai Lexie from monolingual dictionary to bilingual dictionary by utilizing multiple resources. The existing 100,000 Thai words were used as a query to search web pages for extracting words pair from the Internet. Moreover, a Thai Romanization model was developed for creating Thai word pronunciation by using Roman alphabets and a Forward Transliteration model was developed for creating loan word. Additionally, the examples of words usage were provided for benefiting and adding value of dictionary while the dictionary database could be utilized to the applications. On the other hand the dictionary was recorded with the XML format since XML is flexible to apply for applications as well as Papillon Dictionary. From the experiment with 120 Thai word queries, the accuracy of word pairs is 69.89 %. 1
ABSTRACT: Improvements in hardware, communication technology and database have led to the explosion of multimedia information repositories. In order to provide the quality of information retrieval and the quality of services, it is... more
ABSTRACT: Improvements in hardware, communication technology and database have led to the explosion of multimedia information repositories. In order to provide the quality of information retrieval and the quality of services, it is necessary to consider both retrieval techniques and database architecture. This paper presents the project named VLSHDS-Very Large Scale Hypermedia Delivery System. The quality of textual information search is enhanced by using NLP techniques. The quality of service over a
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This paper presents an efficient, yet finegrained, approach to parsing Thai texts. This approach was intended to resolve omission problems and sentential-NP grouping for Thai-English machine translation. The omission problems are zero... more
This paper presents an efficient, yet finegrained, approach to parsing Thai texts. This approach was intended to resolve omission problems and sentential-NP grouping for Thai-English machine translation. The omission problems are zero anaphora, no explicit tenses and numbers, and no explicit topic markers. To resolve those, the augmented state transducer was exploited to resolve noun grouping and the lexical functional grammar was applied to identify omissions. From the experiment, it was found that the augmented state transducer could properly resolve sentential-noun grouping, while most omissions could be identified by the lexical functional grammar. At average, the parser yields 80.72 % accuracy and the number of produced trees is 30.36 % reduced compared with which of the original LFG.
English-Thai MT systems are nowadays restricted by incomplete vocabularies and translation knowledge. Users must consequently accept only one translation result that is sometimes semantically divergent or ungrammatical. With the according... more
English-Thai MT systems are nowadays restricted by incomplete vocabularies and translation knowledge. Users must consequently accept only one translation result that is sometimes semantically divergent or ungrammatical. With the according reason, we propose novel Internet-based translation assistant software in order to facilitate document translation from English to Thai. In this project, we utilize the structural transfer model as the mechanism. This project di#ers from current English-Thai MT systems in the aspects that it empowers the users to manually select the most appropriate translation from every possibility and to manually train new translation rules to the system if it is necessary. With the applied model, we overcome four translation problems---lexicon rearrangement, structural ambiguity, phrase translation, and classifier generation. Finally, we started the system evaluation with 322 randomly selected sentences on the Future Magazine bilingual corpus and the system yie...
A Connected digit speech recognition is important in many applications such as voice-dialing telephone, automated banking system, automatic data entry, PIN entry, etc. This research presents speech recognition system of... more
A Connected digit speech recognition is important in many applications such as voice-dialing telephone, automated banking system, automatic data entry, PIN entry, etc. This research presents speech recognition system of speaker-independent Thai connected digit. The system employs mel frequency cepstrum coefficient (MFCC), delta MFCC, delta-delta MFCC, delta energy and delta-delta energy as features, and applies continuous density hidden Markov model (CDHMM) in the recognition process. The Viterbi beam search algorithm is used in decoding process. In training set, we use 100 speakers (50 females, 50 males) for 2000 utterances within the range of 20-28 years old. For the experiment, we used 50 speakers (25 females, 25 males) as testing set. The average recognition rate is 75.25 % for known length strings and 70.33 % for unknown length strings. 1.
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Thesaurus is one of the most important components for information retrieval (IR) systems. A thesaurus provides a precise and controlled vocabulary that serves to coordinate document indexing and retrieval then it improves the retrieval... more
Thesaurus is one of the most important components for information retrieval (IR) systems. A thesaurus provides a precise and controlled vocabulary that serves to coordinate document indexing and retrieval then it improves the retrieval effectiveness. However the major problem with the manual thesaurus is a laborintensive task and therefore also expensive to build and hard to update in timely manner. Consequently, this paper proposes one approach to construct Thai thesaurus automatically, called a Thai association thesaurus, based on the statistical technique and natural language processing technique. 1.
This paper introduces the new project called STREDEO: The Development of Multimedia-Multilingual Document Storage, Retrieval and Delivery System for E-Organization. STREDEO aims to provide the system for multimedia multilingual document... more
This paper introduces the new project called STREDEO: The Development of Multimedia-Multilingual Document Storage, Retrieval and Delivery System for E-Organization. STREDEO aims to provide the system for multimedia multilingual document management consisting of storage, retrieval and delivery. The project can be divided into seven subprojects, which are: The
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In this paper, a Web-Based Multilingual Technical Dictionary Development Project is introduced. The project provides a system that supports the development of vocabulary meaning in many different fields on the Internet. This project has 2... more
In this paper, a Web-Based Multilingual Technical Dictionary Development Project is introduced. The project provides a system that supports the development of vocabulary meaning in many different fields on the Internet. This project has 2 phases. Phase 1 is the development of bilingual English-Thai Dictionary that has the objective to update the meaning in Thai to be modern via Internet. Phase 2, we will extend this project to be multilingual dictionary by using English language as a hub. In this paper, we will emphasize on phase 1 and Technical dictionary only. 1
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Problem-solving is one important form of intelligent behavior, where the goal is to find a solution which satisfies certain criteria. Lesson learned from the past in problem solving (e.g. how to protect the disease, how to control the... more
Problem-solving is one important form of intelligent behavior, where the goal is to find a solution which satisfies certain criteria. Lesson learned from the past in problem solving (e.g. how to protect the disease, how to control the disease) and valuable information tracked from the previous events and the recurrence; e.g. disease outbreak, are very important for knowledge sharing. This valuable knowledge is distributed over several websites among various kinds of sources in heterogeneous and unstructured formats. In order to reduce time consumption for users to access, construction and linking information space that attached with digesting information should be developed. This paper presents a framework for constructing a knowledge map from the webs that spread throughout the Internet focusing on semantic links between Problems, problem-solving Methods and problem-solver Man (PMM map). Based on specific-task ontology as a representation of specific-domain conceptualization, a kno...
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Morphological diierences between Viet-namese and English not only aaect to translation process in morphological level but also strongly change the structure of translated sentence. Actually, in bilingual dictionary many Vietnamese word... more
Morphological diierences between Viet-namese and English not only aaect to translation process in morphological level but also strongly change the structure of translated sentence. Actually, in bilingual dictionary many Vietnamese word entries do not have any equivalent English word and must be translated to English phrases. In this paper we present our analysis of Vietnamese morphology and describe a phrasal transfer model for Vietnamese to English Machine Translation. The phrasal transfer model is discussed as an approach to solving of lexical gap between two languages. The model, which based on conventional three-step transfer model, allows the system to map a word in source language to a phrase in target language , and control restructuring to generate target sentences.
Ontology plays an important role in the enhancement performance of systems, addressing issues such as knowledge sharing, knowledge aggregation as well as information retrieval and question answering. This paper presents the AGROVOC... more
Ontology plays an important role in the enhancement performance of systems, addressing issues such as knowledge sharing, knowledge aggregation as well as information retrieval and question answering. This paper presents the AGROVOC Concept Server Workbench (ACSW) for multilingual ontological concept construction and maintenance. The ACSW is a web 2.0 based application consisting of two main functionalities that are user management and ontological knowledge management (i.e. concept, scheme, relationship, export, search, validate and consistency check) in order to maintain the knowledge acquisition life-cycle in food and agriculture domain. Knowledge is stored in the form of multilingual concept hierarchy and also kept in the OWL format in order to exchange between machines and to do reasoning. This workbench uses Protégé API as an OWL framework. Moreover the Ontology Game conceptual framework is also presented in order to acquire ontology terms more pleasant.
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Mining causality knowledge will induce a knowledge of reasoning that is beneficial for our daily use in diagnosis. Then, this framework is for discovering causality existing between causative antecedent and effective consequent discourse... more
Mining causality knowledge will induce a knowledge of reasoning that is beneficial for our daily use in diagnosis. Then, this framework is for discovering causality existing between causative antecedent and effective consequent discourse units. There are three main problems in the causality or cause-effect extraction; cause-effect identification, causality ordering and cause-effect boundary determination. The cause-effect identification and the causality ordering problems can be solved by learning verb pairs among different elementary discourse units and learning lexico syntactic pattern (i.e., NP1 V NP2) within a single elementary discourse unit from annotated corpus, by using the Naive Bayes classifier. WordNet will be used in this learning for providing the concept for the verb pairs and NP pair of the lexico syntactic pattern after translation of Thai words to English words by using the Thai-English dictionary. The cause-effect boundary determination problem can be solved by usi...
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We show how the different conceptual facets of the instrumental role of a concrete object can be characterized and introduced in the telic role of the Qualia structure. We outline different difficulties, among which prototypicality and... more
We show how the different conceptual facets of the instrumental role of a concrete object can be characterized and introduced in the telic role of the Qualia structure. We outline different difficulties, among which prototypicality and context dependence. Using various languages with an explicit instrumental grammatical case or with specific type restrictions does help to identify instruments among other proposition adjuncts. 1 Aims and Motivations Instrumentality has a quite wide conceptual scope, almost anything can potentially be used as an instrument for a number of tasks, and instrumentality largely overlaps with other complex notions such as causes, paths and manners. It is difficult to give a comprehensive definition of what instrumentality is. In WordNet it is defined as ’an artifact, or a set of artifacts, that are instrumental (i.e. behave as instruments) in accomplishing some end’, i.e. reaching a certain goal. In this definition, the triple relation agent-instrument-goal...
Three nontrivial problems of Thai morphological processing are word boundary ambiguity, tagging ambiguity and implicit spelling errors. These problems cause a lot of difficulty to the parser due to the alternative or erroneous chain of... more
Three nontrivial problems of Thai morphological processing are word boundary ambiguity, tagging ambiguity and implicit spelling errors. These problems cause a lot of difficulty to the parser due to the alternative or erroneous chain of word. This work attempts to provide a computational solution, called Word Filtering, to those linguistic phenomena. The filtering process calculates the probabilities of all possible chains of tagged words using a Markov Model. The most likely sequence of tagged word is the one that maximizes the chain probabilities. However, it may be an erroneous chain which has an implicit spelling error. Therefore, the Word Filtering, also, includes the scanning process that detect and correct these errors. Both filtering and scanning process use a statistical data infonuation collected ~om the hand-ta.~ed corpus. The experiment has shown that word filtering can eliminate most of the alternative word sequences. Moreover: this tcelmique is fairly good at the implic...
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Thailand a country of 65 million people, has had an active AI community for almost three decades. With limited research funding (less than 1% of GDP), AI reserchers have had to maintain a focus on producing concrete results. They have set... more
Thailand a country of 65 million people, has had an active AI community for almost three decades. With limited research funding (less than 1% of GDP), AI reserchers have had to maintain a focus on producing concrete results. They have set clear research goals to ensure that 'Smart' or 'Intelligent' systems are developed and applied to help reduce costs, improve efficiency, and increase productivity in integrated public services.
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... In Proceedings of LREC' 2000, Greece, 2000. [7] Sornlertlamvanich, V. et al., ORCHID: THAIPart of Speech Tagged Corpus. Technical Report of NECTEC, 1997. [8] Agirre, E. and D. Martinez. Exploring automatic word sense... more
... In Proceedings of LREC' 2000, Greece, 2000. [7] Sornlertlamvanich, V. et al., ORCHID: THAIPart of Speech Tagged Corpus. Technical Report of NECTEC, 1997. [8] Agirre, E. and D. Martinez. Exploring automatic word sense disambiguation with decision lists and the Web. ...
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... H. Isozaki, H. Kazawa, Efficient Support Vector Clas-sifiers for Named Entity Recognition, In Proc. of COLING-2002, Taipei, Taiwan, 2002. ... H. Leong C. and HT Ng, "Named Entity Recognition: A Maximum Entropy Approach Using... more
... H. Isozaki, H. Kazawa, Efficient Support Vector Clas-sifiers for Named Entity Recognition, In Proc. of COLING-2002, Taipei, Taiwan, 2002. ... H. Leong C. and HT Ng, "Named Entity Recognition: A Maximum Entropy Approach Using Global Infor-mation". In Proc. ...
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In this paper, we propose an effective rice crop planning system based on a knowledge engineering approach with hybrid knowledge representation, i.e., ontologies and rules, to help farmers make decisions in choosing their rice variety and... more
In this paper, we propose an effective rice crop planning system based on a knowledge engineering approach with hybrid knowledge representation, i.e., ontologies and rules, to help farmers make decisions in choosing their rice variety and planning cultivation. A critical challenge is to develop a recommendation system that supports and fulfills farmers' satisfaction, i.e., reducing risk from climate conditions and disease while improving productivity to meet market demand. To fulfill these needs, our recommendation system is separated into two parts: a rice variety suggestion system, which will help to suggest which variety to grow; and a personalized crop calendar generation system, which will help farmers in planning their activities toward higher production.
Research Interests: Computer Science and Acm
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... The marginal noise usually appears in a large and dark region around the margin ofdocument images. In this paper, we propose a useful method to help librarians remove both vertical and horizontal marginal noise that use different... more
... The marginal noise usually appears in a large and dark region around the margin ofdocument images. In this paper, we propose a useful method to help librarians remove both vertical and horizontal marginal noise that use different techniques. ...
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In this paper, we introduce a web service with the efficient methodology that drastically reduces the amount of time required when finding information about people. The task is to extract the intended information from WWW and to integrate... more
In this paper, we introduce a web service with the efficient methodology that drastically reduces the amount of time required when finding information about people. The task is to extract the intended information from WWW and to integrate all necessary information for providing one stop service in person information tracking. There are three main components: (1) information extraction from web documents with named entity recognition supported, (2) information integration that solved name inconsistency and name redundancy based on fuzzy name matching and ontology based reasoning, and (3) query processing with friendly GUI and supported for most user requirements. In experimentation, the system collect information from 21 university web sites and produce information about 12,000 persons that stored in OWL repository. The information extraction module has 77.02 % in precision and 80.73% in recall. And for information integration, precision and recall are 84.25% and 76.25%, respectively. Finally, users can use query interface to search for needed person information by various types of query.
... treebank constructing framework and treebank semi-automatic correction method to reduce treebank inconsistency problem. Hence, we can con-Page 8. S NP ncn VP vt NP ncn PP p NP ncn adj cat eat rice in house new Fig. 11. Tree that noun... more
... treebank constructing framework and treebank semi-automatic correction method to reduce treebank inconsistency problem. Hence, we can con-Page 8. S NP ncn VP vt NP ncn PP p NP ncn adj cat eat rice in house new Fig. 11. Tree that noun phrase in preposition phrase was ...
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This paper presents a bilingual, English and Thai, unknown word alignment tools by using techniques, which are based on global and local characteristics of each word in parallel texts. Distribution and location of words in texts are... more
This paper presents a bilingual, English and Thai, unknown word alignment tools by using techniques, which are based on global and local characteristics of each word in parallel texts. Distribution and location of words in texts are analyzed generating candidate Thai unknown words with respect to each of English unknown word. Overall accuracy of the unknown word alignment is 90.32%
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This project is aimed to develop the system for summarizing and translating the agricultural information from English to Thai by using statistical and frame based approach. The system consists of 4 modules: Gathering Module, Indexing and... more
This project is aimed to develop the system for summarizing and translating the agricultural information from English to Thai by using statistical and frame based approach. The system consists of 4 modules: Gathering Module, Indexing and Clustering Module, Summarizing Module and Translation Module. At the current state, we consider only the translation of agricultural summary articles, which have the same structure.