Titlebook: Artificial Intelligence: Methodology, Systems, and Applications; 15th International C Allan Ramsay,Gennady Agre Conference proceedings 2012

嘮叨

Identification of the Compound Subjective Rule Interestingness Measure for Rule-Based Functional Des expert opinion which is provided in a form of an ordered list of several rules. The presented approach is applied to the well known data set from microarray experiment and the results are compared with the standard RuleGO compound rule quality measure.

CRUDE

Automatic Generation and Learning of Finite-State Controllersearning process, that otherwise would be excessively expensive. Our method allows to adapt the behavior of a given planner to the environment, facing the unavoidable discrepancies between the model and the environment. We provide quantitative experiments with a simulator of a mobile robot to assess the performance of the proposed method.

LUT

MELON

arbovirus

Corpus-Based Semantic Filtering in Discovering Derivational Relationsde variety of semantic oppositions. Analysis of morphological word forms in terms of prefixes and suffixes provides limited information about their semantics. We propose a method of semantic classification of the potential derivational pairs. The method is based on supervised learning, but requires

amplitude

Lexical Activation Area Attachment Algorithm for Wordnet Expansionity methods. It is based on the assumption that all relation extraction methods express some error, so we cannot identify the exact place (synset) for a new lemma on their bases, but an area (a wordnet subgraph). Support for a particular attachment point generated by knowledge should be expanded on

ARM

Metaheuristics for Tuning Model Parameters in Two Natural Language Processing Applicationsually, parameters are chosen manual, but one can employ metaheuristics for searching the parameter space in more systematic and automated way. In this paper we test a few optimisation methods such as Evolutionary Algorithms, Tabu Search, Hill Climbing and Simulated Annealing for setting parameters o

MAUVE

Clustering a Very Large Number of Textual Unstructured Customers’ Reviews in English, clustering can help reveal the classes. The presented research dealt with almost two millions of opinions concerning customers’ (dis)satisfaction with hotel services all over the world. The experiments investigated the automatic building of clusters representing positive and negative opinions. For

Cupidity

A Workbench for Temporal Event Information Extraction from Patient Recordsaction of primitive events automatically sets markers for patients’ complaints, drug treatment and diagnoses with precision about 90%. Specific domain knowledge is further used to generate compound events and to identify some relations between event time sequences. Absolute and relative time informa

禮節(jié)

Analyzing Emotional States Induced by News Articles with Latent Semantic Analysislanguage, voice tone or inflections), in the second it can be quite tricky to grasp the underlying emotions carried by a written text. Therefore we propose a novel automatic method for analyzing emotions induced by texts, more specifically a reader’s most likely emotional state after reading a news