Most real world problems can be solved at least partially by simple, nonadaptive means. When we want to use an adaptive learning technique like reinforcement learning for practical purposes, we need to be able to cooperate with one or several of these partial solutions. In this paper we consider the problem of making a reinforcement learning agent cooperate with a hand-crafted local controller ...

As documents tend to contain temporal information, extracting such information is attracting much research interests recently. In this paper, we propose a hybrid method that combines machine-learning models and hand-crafted rules for the task of extracting temporal information from unstructured Korean texts. We address Korean-specific research issues and propose a new probabilistic model to gen...

Career guidance clients are seeking to craft new identities that better position them in their careers. The focus of the present article is on narrative career counselling's potential contribution in providing a meaningful and useful experience for career guidance clients. To illustrate the potential of narrative career counselling, the story telling approach is offered as an example to illustr...

Collaborative learning environments require carefully crafted designs –both technical and social. This paper presents a model describing how to design socio-technical environments that will promote collaboration in group activities. A game was developed based on this model. This tool was used to conduct experiments for studying the collaborative learning process. Testing with this system reveal...

Fine-grained sense distinctions are one of the major obstacles to successful Word Sense Disambiguation. In this paper, we present a method for reducing the granularity of the WordNet sense inventory based on the mapping to a manually crafted dictionary encoding sense hierarchies, namely the Oxford Dictionary of English. We assess the quality of the mapping and the induced clustering, and evalua...

State-of-the-art deep NLP models have achieved impressive improvements on many tasks. However, they are found to be vulnerable some perturbations. Before widely adopted, the fundamental issues of robustness need addressed. In this paper, we design a enhancement method defend against word substitution perturbation, whose basic idea is fight perturbation with perturbation. We find that: although ...

This paper presents a constraint-based morphological disambiguation approach that is applicable languages with complex morphology-specifically agglutinative languages with productive inflectional and derivational morphological phenomena. In certain respects, our approach has been motivated by Brill's recent work (Brill, 1995b), but with the observation that his transformational approach is not ...

This paper proposes a new approach for word similarity measurement. The statistics-based computation of word similarity has been popular in recent research, but is associated with a signi cant computational cost. On the other hand, the use of hand-crafted thesauri as semantic resources is simple to implement, but lacks mathematical rigor. To integrate the advantages of these two approaches, we ...

We propose a feature for action recognition called Trajectory-Set (TS), on top of the improved Dense Trajectory (iDT). The TS feature encodes only trajectories around densely sampled interest points, without any appearance features. Experimental results on the UCF50, UCF101, and HMDB51 action datasets demonstrate that TS is comparable to state-of-the-arts, and outperforms many other methods; fo...

The demand for deep linguistic analysis for huge volumes of data means that it is increasingly important that the time taken to parse such data is minimized. In the XLE parsing model which is a hand-crafted, unification-based parsing system, most of the time is spent on unification, searching for valid f-structures (dependency attributevalue matrices) within the space of the many valid c-struct...