This paper describes a simple and princi-pled approach to automatically construct sen-timent lexicons using distant supervision. We induce the sentiment association scores for the lexicon items from a model trained on a weakly supervised corpora. Our empiri-cal findings show that features extracted

This paper reports preliminary progress on a princi-pled approach to modelling nonstationary phenomena using neural networks. We are concerned with both parameter and model order complexity estimation. The basic methodology assumes a Bayesian founda-tion. However t o allow the construction

communicable decision policy in the face of uncertainty about candidate availability. This gives rise to a princi-pled approach, based on minimizing expected dissatisfaction with the candidate choice, for optimization functions on rankings. We provide exact and approxi-mation algorithms for computing optimal

PrinciPled eclecticism & the holistic APProAch to lAnguAge

. We research the most impor-tant design principles of a DSL and show how different patterns can be used to support these principles. This allows us to produce a rich pattern language describing a princi-pled approach for designing internal DSLs. The pattern language can be used to assess the design

as the phrase red tape meaning bureaucracy). Motivated by this lack of distinction between the frequency and strength of term dependence in IR, we present a princi-pled approach for handling term dependence in queries, us-ing both lexical frequency and semantic evidence. We focus on non-compositional phrases

. The candidates are then validated using a princi-pled statistical procedure inspired from the a contrario the-ory, which minimizes the number of false positives. Our algorithm uses integral image properties to enhance the ex-ecution time. 1.

.procksi.org), was the first publicly available server to provide algorithmic solutions for the MC-PSC problem by means of an enhanced structural comparison that relies on the princi-pled application of information fusion to similarity assessments derived from multiple comparison methods (e.g. USM, FAST, MaxCMO, DaliLite, CE

preliminary results suggesting that the distributional contexts extracted by our model yield similar performances as com-pared to current approaches from the lit-erature, with a gain in psychological plau-sibility. We also introduce a more princi-pled way to evaluate the effectiveness of

-place nisher in TAC. ATTac-2000 uses a princi-pled bidding strategy that includes several elements of adaptivity. In addition to the success at the competition, isolated empirical results are presented indicating the robustness and eectiveness of ATTac-2000's adaptive strategy. 1.