diff --git a/chapters/relation_extraction.ipynb b/chapters/relation_extraction.ipynb index ec243c23..e8bbcd29 100644 --- a/chapters/relation_extraction.ipynb +++ b/chapters/relation_extraction.ipynb @@ -877,7 +877,13 @@ "('NONE', 'the need of approaching and intervening simultaneously human and environmental problems has been identify . this are the results of a XXXXX of XXXXX and methods associated with human and environmental factors', ['systematic review', 'design concepts'])\n", "('method used for task', 'the need of approaching and intervening simultaneously human and environmental problems has been identify . this are the results of a systematic review of XXXXX and methods associated with human and XXXXX', ['environmental factors', 'design concepts'])\n", "('method used for task', 'it shows conceptual and methodological segregation between XXXXX and XXXXX in published documents', ['human factors', 'environmental factors'])\n", - "('NONE', 'XXXXX was utilized to assess the improvement strategy of latent XXXXX', ['fuzzy topsis', 'human errors'])\n", + "('NONE', 'XXXXX was utilized to assess the improvement strategy of latent XXXXX', ['fuzzy topsis', 'human errors'])\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "('NONE', 'XXXXX was used to inspect the robustness of the results of XXXXX', ['sensitivity analysis', 'fuzzy topsis'])\n", "('method used for task', 'this is the first study to assess XXXXX by hfacs and XXXXX', ['human errors', 'fuzzy topsis'])\n", "('method used for task', 'XXXXX are neither necessary nor sufficient to elicit XXXXX', ['time constraints', 'time pressure'])\n", @@ -1813,13 +1819,7 @@ "('method used for task', 'we present a genetic algorithm illustrating how the average XXXXX is derived . the involvement amplifies the neverstop system and facilitates the XXXXX', ['waiting time', 'fuzzy control module'])\n", "('method used for task', 'neverstop utilizes fuzzy control method and XXXXX to adjust the XXXXX for the traffic lights , consequently the average XXXXX can be significantly reduced', ['genetic algorithm', 'waiting time'])\n", "('method used for task', 'neverstop utilizes fuzzy control method and XXXXX to adjust the XXXXX for the traffic lights , consequently the average XXXXX can be significantly reduced', ['genetic algorithm', 'waiting time'])\n", - "('method used for task', 'neverstop utilizes fuzzy control method and XXXXX to adjust the waiting time for the XXXXX , consequently the average waiting time can be significantly reduced', ['genetic algorithm', 'traffic lights'])\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "('method used for task', 'neverstop utilizes fuzzy control method and XXXXX to adjust the waiting time for the XXXXX , consequently the average waiting time can be significantly reduced', ['genetic algorithm', 'traffic lights'])\n", "('method used for task', 'neverstop utilizes fuzzy control method and genetic algorithm to adjust the XXXXX for the XXXXX , consequently the average XXXXX can be significantly reduced', ['waiting time', 'traffic lights'])\n", "('method used for task', 'neverstop utilizes fuzzy control method and genetic algorithm to adjust the XXXXX for the XXXXX , consequently the average XXXXX can be significantly reduced', ['waiting time', 'traffic lights'])\n", "('NONE', 'the XXXXX is enhanced in the proposed system for fast retrieval of hidden data from XXXXX', ['hidden markov model', 'video files'])\n", @@ -1923,7 +1923,13 @@ "('method used for task', 'according to lipschitz XXXXX and XXXXX of t-norms and implications , suitable t-norm and implication can be chosen to satisfy the need of robustness of fuzzy reasoning', ['aggregation property', 'copula characteristic'])\n", "('NONE', 'approach for the optimization of modular neural networks with the XXXXX using XXXXX for pattern recognition', ['gravitational search algorithm', 'fuzzy logic'])\n", "('NONE', 'approach for the optimization of modular neural networks with the XXXXX using fuzzy logic for XXXXX', ['gravitational search algorithm', 'pattern recognition'])\n", - "('method used for task', 'approach for the optimization of modular neural networks with the gravitational search algorithm using XXXXX for XXXXX', ['fuzzy logic', 'pattern recognition'])\n", + "('method used for task', 'approach for the optimization of modular neural networks with the gravitational search algorithm using XXXXX for XXXXX', ['fuzzy logic', 'pattern recognition'])\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "('NONE', 'bespectacled XXXXX will reduce the XXXXX', ['eye image', 'iris segmentation accuracy'])\n", "('method used for task', 'XXXXX is performed as the XXXXX for frame detection', ['fuzzy logic', 'decision making'])\n", "('method used for task', 'eigenstructure based XXXXX for XXXXX', ['fault detection', 'nonlinear systems'])\n", @@ -1961,7 +1967,13 @@ "('NONE', 'evolutionary algorithm ( XXXXX ) can be used as an alternative for this optimization problem to reduce the complexity of the search ( scheduling problem ) . the performance of the XXXXX with elitism and adaptive mutation is demonstrated to be near optimal as obtained with an exhaustive search . it has been demonstrated in this paper that ga achieves about 98–99 % of system sum rate as obtained with dpc with significant reduction in time and XXXXX', ['genetic algorithm', 'computational complexity'])\n", "('NONE', 'evolutionary algorithm ( genetic algorithm ) can be used as an alternative for this optimization problem to reduce the complexity of the search ( scheduling problem ) . the performance of the genetic algorithm with elitism and adaptive mutation is demonstrated to be near optimal as obtained with an XXXXX . it has been demonstrated in this paper that ga achieves about 98–99 % of system sum rate as obtained with dpc with significant reduction in time and XXXXX', ['exhaustive search', 'computational complexity'])\n", "('method used for task', 'novel XXXXX based on multi-gene XXXXX called gpfis-class', ['genetic fuzzy system', 'genetic programming'])\n", - "('NONE', 'gpfis-class builds XXXXX premises by using multi-gene XXXXX', ['fuzzy rule', 'genetic programming'])\n", + "('NONE', 'gpfis-class builds XXXXX premises by using multi-gene XXXXX', ['fuzzy rule', 'genetic programming'])\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "('NONE', 'this paper address the bodyguard XXXXX ( bap ) through an XXXXX', ['allocation problem', 'evolutionary approach'])\n", "('NONE', 'we develop a XXXXX ( sa ) with special XXXXX and restart strategy for mc-top-mtw', ['simulated annealing', 'solution encoding'])\n", "('NONE', 'we develop a XXXXX ( sa ) with special solution encoding and XXXXX for mc-top-mtw', ['simulated annealing', 'restart strategy'])\n", @@ -2256,13 +2268,7 @@ "('NONE', 'a two-level self-adaptive XXXXX is developed based on the two levels of decisions in the pcvrp , namely the selection of customers and the XXXXX of selected customers', ['vehicle scheduling', 'variable neighborhood search algorithm'])\n", "('method used for task', 'a graph extension method is adopted to obtain the XXXXX for pcvrp by transforming the proposed XXXXX of pcvrp into an equivalent traveling salesman problem model', ['lower bound', 'mixed integer programming model'])\n", "('NONE', 'XXXXX of XXXXX using legendre polynomial based functional link artificial neural network ( flann )', ['numerical solution', 'ordinary differential equations'])\n", - "('NONE', 'the selection of XXXXX of ema is done through exhaustive XXXXX', ['control parameters', 'parametric study'])\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "('NONE', 'the selection of XXXXX of ema is done through exhaustive XXXXX', ['control parameters', 'parametric study'])\n", "('method used for task', 'propose a new XXXXX to select best XXXXX', ['pareto front', 'decision making method'])\n", "('method used for task', 'in the present study , an XXXXX was used to solve a discrete mcr problem . during the solving process , the social force model was used to improve the XXXXX , such that it would not easily fall into local extreme and became suitable for solving the mcr problem . the results of the XXXXX revealed that our algorithm was superior to the exact algorithm and greedy algorithm in terms of solution quality and running time', ['ant colony algorithm', 'simulation experiments'])\n", "('method used for task', 'in the present study , an XXXXX was used to solve a discrete mcr problem . during the solving process , the social force model was used to improve the XXXXX , such that it would not easily fall into local extreme and became suitable for solving the mcr problem . the results of the simulation experiments revealed that our algorithm was superior to the XXXXX and greedy algorithm in terms of solution quality and running time', ['ant colony algorithm', 'exact algorithm'])\n", @@ -2661,7 +2667,13 @@ "('NONE', 'establish our XXXXX basing on XXXXX', ['prediction model', 'support vector machine classifier'])\n", "('method used for task', 'we proposed a XXXXX to increase XXXXX', ['hybrid algorithm', 'metabolites production'])\n", "('NONE', 'we implement kinetic formalism of rene thomas along with XXXXX approaches to provide qualitative thresholds of entities in tlr3 associated biological regulatory network of XXXXX , satisfying the biological observations', ['model checking', 'dengue virus'])\n", - "('NONE', 'different XXXXX of e296 ( d299 ) and d312 ( 315 ) in ompf and ompc promote the large-\\xadscale deviation in XXXXX and dynamics', ['protein structure', 'protonation states'])\n", + "('NONE', 'different XXXXX of e296 ( d299 ) and d312 ( 315 ) in ompf and ompc promote the large-\\xadscale deviation in XXXXX and dynamics', ['protein structure', 'protonation states'])\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "('method used for task', 'we proposed a XXXXX for protein–rna binding sites prediction by combining XXXXX and global features from protein sequence based on submodularity subset selection', ['computational method', 'local features'])\n", "('method used for task', 'we proposed a XXXXX for protein–rna binding sites prediction by combining local features and global features from XXXXX based on submodularity subset selection', ['computational method', 'protein sequence'])\n", "('method used for task', 'we proposed a computational method for protein–rna binding sites prediction by combining XXXXX and global features from XXXXX based on submodularity subset selection', ['local features', 'protein sequence'])\n", @@ -3952,13 +3964,7 @@ "('NONE', 'additional XXXXX as well as valid inequalities are proposed to significantly speed up overall XXXXX', ['lower bounds', 'solution time'])\n", "('method used for task', 'additional lower bounds as well as XXXXX are proposed to significantly speed up overall XXXXX', ['valid inequalities', 'solution time'])\n", "('method used for task', 'proposed an XXXXX for the two- and three-echelon reverse XXXXX', ['analytical model', 'supply chain'])\n", - "('method used for task', 'defined the pc recycling XXXXX as foundation for generating the XXXXX', ['supply chain', 'analytical model'])\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "('method used for task', 'defined the pc recycling XXXXX as foundation for generating the XXXXX', ['supply chain', 'analytical model'])\n", "('NONE', 'the XXXXX of our model is not only robust but also has a desired XXXXX', ['optimal portfolio', 'factor exposure'])\n", "('NONE', 'interrelationship between XXXXX , XXXXX , and ghgs is considered', ['lead time', 'transportation cost'])\n", "('method used for task', 'a novel solution heuristic for the general lotsizing and XXXXX for parallel XXXXX is presented', ['scheduling problem', 'production lines'])\n", @@ -4160,7 +4166,13 @@ "('NONE', 'we model a flexible XXXXX with n market periods and XXXXX', ['demand uncertainty', 'capacity strategy'])\n", "('NONE', 'locating XXXXX by conventional methods makes XXXXX vulnerable', ['facts devices', 'power systems'])\n", "('NONE', 'give a model for the XXXXX of the legislative council of XXXXX ( legco )', ['voting system', 'hong kong'])\n", - "('NONE', 'an XXXXX of u.s. coal-fired XXXXX operating in 2011', ['empirical study', 'power plants'])\n", + "('NONE', 'an XXXXX of u.s. coal-fired XXXXX operating in 2011', ['empirical study', 'power plants'])\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "('method used for task', 'the portfolio problem solved using XXXXX and XXXXX', ['dynamic programming', 'monte carlo methods'])\n", "('NONE', 'the XXXXX solved using XXXXX and monte carlo methods', ['dynamic programming', 'portfolio problem'])\n", "('method used for task', 'the XXXXX solved using dynamic programming and XXXXX', ['monte carlo methods', 'portfolio problem'])\n", @@ -4779,13 +4791,7 @@ "('NONE', 'we provide evidence that the XXXXX of XXXXX is around 100 basis points', ['model risk', 'variance swaps'])\n", "('method used for task', 'we propose a XXXXX to determine open-loop XXXXX', ['nash equilibria', 'search scheme'])\n", "('NONE', 'we give a new definition of the XXXXX inspired by the weak link in XXXXX', ['system efficiency', 'supply chains'])\n", - "('NONE', 'the XXXXX a three-player XXXXX with an infinite time horizon', ['differential game', 'paper studies'])\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "('NONE', 'the XXXXX a three-player XXXXX with an infinite time horizon', ['differential game', 'paper studies'])\n", "('NONE', 'the paper studies a three-player XXXXX with an infinite XXXXX', ['differential game', 'time horizon'])\n", "('NONE', 'the XXXXX a three-player differential game with an infinite XXXXX', ['paper studies', 'time horizon'])\n", "('method used for task', 'we propose a new XXXXX for solving tri-objective XXXXX', ['exact algorithm', 'integer programs'])\n", @@ -5166,7 +5172,13 @@ "('method used for task', 'XXXXX with htcondor scheduler for auto-scaling and XXXXX', ['parallel computing', 'integrate galaxy'])\n", "('method used for task', 'two bioinformatics workflow XXXXX and XXXXX are presented', ['use cases', 'performance evaluation'])\n", "('NONE', 'our approach combines XXXXX visual queries , mining , and XXXXX', ['ad hoc', 'interactive visualization'])\n", - "('NONE', 'a feature-based approach identifies XXXXX with similar XXXXX', ['clinical trials', 'eligibility text'])\n", + "('NONE', 'a feature-based approach identifies XXXXX with similar XXXXX', ['clinical trials', 'eligibility text'])\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "('method used for task', 'we propose a XXXXX for detecting XXXXX in mammograms', ['cad system', 'breast cancer'])\n", "('NONE', 'XXXXX optimized XXXXX detects the cancers', ['swarm intelligence', 'wavelet neural network'])\n", "('method used for task', 'we focus on optimized XXXXX to enhance the XXXXX', ['wavelet neural network', 'detection accuracy'])\n", @@ -5446,7 +5458,7 @@ "data": { "text/plain": [ "array(['NONE', 'method used for task', 'method used for task', ...,\n", - " 'method used for task', 'NONE', 'method used for task'],\n", + " 'method used for task', 'NONE', 'method used for task'], \n", " dtype='