to be able to reach the level of ultimate attainment in the second language, learners need to acquire not only the grammar of the l2 but also the language processing mechanisms involved in the comprehension of sentences in real time. contrary to its importance, very little is known yet about online l2 processing. this study examines whether advanced iranian learners of english reactivate disloc...

a 21-year old man with cervical spinal cord damage due to diving was admitted in the icu. tracheostomy was performed due to prolonged mechanical ventilation. left lung atelectasis happened frequently. because of the difficulty of bronchoscopy and failing of recruitment, using a double lumen, two tracheal tubes were guided into the left and right lungs through the tracheostomy stoma site. after ...

rapid thermal processing (rtp) has become a key technology for semiconductor device manufacturing in a variety of applications, such as thermal oxidation, annealing, and thin-film growth. hence, understanding the radiative properties of silicon and other relevant materials is essential for the analysis of the thermal transport processes. we have analyzed and calculated the spectral, directional...

Because of the design of LOLITA, the code implementing the four MUC tasks is almost trivial, since i t is built using complex facilities provided by a `core' system . Hence, after some background to the LOLITA project, the `core ' of LOLITA is described without much reference to the MUC tasks . Then, the analysis of the walk-through article is presented and the implementation of each task discu...

TASC has recently developed a technology for learning scenario-templateextraction grammars from examples provided by end-users with no special computational or linguistic knowledge. For straightforward scenario-template problems, complete extraction systems can be learned from scratch in a few hours. The learned systems are fast, robust, and as accurate as carefully handcrafted systems. For mor...

The CoNLL-2012 shared task is an extension of the last year’s coreference task. We participated in the closed track of the shared tasks in both years. In this paper, we present the improvements of Illinois-Coref system from last year. We focus on improving mention detection and pronoun coreference resolution, and present a new learning protocol. These new strategies boost the performance of the...

Scoring the performance of a system is an extremely important aspect of coreference algorithm performance. The score for a particular run is the single strongest measure of how well the system is performing and it can strongly determine directions for further improvements. In this paper, we present several di erent scoring algorithms and detail their respective strengths and weaknesses for vary...