... AUTOMATIC SPEECH RECOGNITION AND ITS APPLICATION TOINFORMATIONEXTRACTION Sadaoki Furui Department of Computer Science Tokyo institute of Technology 2-12-1, Ookayama, Meguro-ku, Tokyo, ... relative to LM1, and LM3 model reduced the word error rate by 10.9 % relative to LM2 on average. 2.3 InformationExtraction in the DARPA Project News is filled with events, people, and organizations ... collaboration with the Vecsys company and with the SNCF (the French Railways), LIMSI has developed a prototype telephone service providing timetables, simulated fares and reservations, and information...
... mention-leveldiscriminative approach by up to 20%.1 IntroductionTemplate-filling informationextraction (IE) sys-tems must merge information across multiple sen-tences to identify all role fillers of interest. ... some subset of the mentions with template roles. Since systems can label mentionsas non-role bearing, only recall is critical to men-tion extraction. To adapt INDEP to this setting, wefirst use ... Maccartney, and C. D. Man-ning. 2006. Generating typed dependency parsesfrom phrase structure parses. In LREC.Dayne Freitag and Andrew McCallum. 2000. Infor-mation extractionwith hmm structures...
... not very standard. Compared to other evalu-ation methods for informationextraction systems, it leads to alower penalty for boundary errors, and allows long fields alsocontribute more to accuracy ... Probabilisticcontent models, with applications to generation and summa-rization. In Proceedings of HLT-NAACL 2004, pages 113–120.D. Blei and P. Moreno. 2001. Topic segmentation with an aspecthidden ... in-terest. We used unsupervised learning methods with 400 documents to yield field segmentation modelsof a similar quality to those learned using supervised learning with 50 documents. We demonstrated...
... ExtraLink: Integrating Information Extraction and Automatic Hyperlinking A methodology for automatically enriching web documents with typed hyperlinks has been develo-ped and applied to several domains, ... been used to define grammars for English, German, French, Spanish, Chinese and Japanese allowing for named entity recognition and extraction. To guarantee a comparable coverage, andto ease ... Research and Technology (BMBF) to the project Whiteboard (contract 01 IW 002), by the EC to the project Airforce (contract IST-12179), and by the state of the Saarland to the project SATOURN....
... We automatically anno-tate training text with positive and negative exam-ples of fact extractions and train Rote, Naăve Bayes, and Conditional Random Field extraction modelsfor fact extraction ... informationextractionand explore ways to improve the learning process.Nahm and Mooney (2002) suggest a method to learn word -to- word relationships across fields by do-ing data mining on informationextraction ... shownthat automatic annotation can be used effectively to train statistical information extractors such NaăveBayes and CRFs, and that CRF extraction accuracycan be improved by 5% with a negative...
... (Fig. 1.6). Topology and Geology Topologically and geologically, the mainland of the study area can be separated into two regions: the lowlands in the Western part and highlands in the Eastern ... scientific knowledge and thought to bear on it. The central purpose of systems analysis is to help public and private decision and policy makers to understand the problem better, so to better manage ... planning and management of coastal systems and resources, taking into account traditional, cultural and historical perspectives and conflicting interests and uses; it is a continuous and evolutionary...
... betweenthe Between and Within models and the Copymodel when beam search was used. We there-fore also state the performance for Between and Within models with binarization limited to non-coordinate ... Corpus+ Adapt, Randomized Corpus- Adapt, Untouched Corpus- Adapt, Randomized CorpusFigure 3: Log of number of words between ruleinvocationstogram for both the non-randomized and random-ized ... LinguisticsIntegrating Syntactic Priming into an Incremental Probabilistic Parser, with an Applicationto Psycholinguistic ModelingAmit Dubey and Frank Keller and Patrick SturtHuman Communication...
... D.Freitag and A.McCallum. 1999. Informationextraction with HMMs and shrinkage. In AAAI99 Workshop on Machine Learning for Information Extraction. pp.31-36. W.Gale. 1995. Good-Turing smoothing without ... resume informationextractionto support automatic resume management and routing. A cascaded information extraction (IE) framework is designed. In the first pass, a resume is segmented into a ... are other ways to combine state-based and discriminative ideas. For example, Peng and McCallum (2004) applied Conditional Random Fields to extract information, which draws together the advantages...
... values are presented for urban and other roads on the one l-land and highways on the other hand. Due to a lack of data the values could not be differentiated according to level of congestion. Case ... police and ambulance costs and looses part or the total of the person's net contribution to current and future output7. Formally, one obtains : where the externality associated with ... problems associated with hedonic pricing. In order to get good results, one must take into account all explanatory variables of housing prices. But the inclu- sion of too many explanatory variables...
... paradigmwithin the exploration process, withapplication to the health-care domain. According to our model, itis the entailment relation between propositions, en-coded by the entailment graph and ... explorationsystem to the health-care domain. With the adventof the internet and social media, patients now haveaccess to new sources of medical information: con-sumer health articles, forums, and social ... Exploratory SearchExploratory search addresses the need of users to quickly identify the important pieces of information in a target set of documents. In exploratory search,users are presented with...
... those in fatty meats and snack foods) with healthy plant-based fats (such as oliveoil) and omega-3 fatty acids (from fish).Work with your doctor or a dietitian to come up with an eating plan ... diet with lotsof whole grains and fresh fruits and vegetables and they engage in stren-uous physical activity.Most Americans don’t exercise enough. These lifestyle factors—eating too much and ... us to shortchange ourselves when itcomes to eating a healthy diet. Many Americans are consuming foodscontaining too many unhealthy saturated and trans fats (see page 50) and too much sugar and...