In this work, we tackle the problem of Armenian named entity recognition, providing silverand gold-standard datasets as well as establishing baseline results on popular models. We present a 163000-token named entity c...
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ISBN:
(纸本)9781728112763;9781728112756
In this work, we tackle the problem of Armenian named entity recognition, providing silverand gold-standard datasets as well as establishing baseline results on popular models. We present a 163000-token named entity corpus automatically generated and annotated from Wikipedia, and another 53400token corpus of news sentences with manual annotation of people, organization and location named entities. The corpora were used to train and evaluate several popular named entity recognition models. Alongside the datasets, we release 50-, 100-, 200-, 300dimensional GloVe word embeddings trained on a collection of Armenian texts from Wikipedia, news, blogs, and encyclopedia.
Social network users often want to send a message to a group of recipients. An algorithm that recommends other possible recipients given an initial set of recipients is introduced in this paper. The algorithm uses dif...
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Social network users often want to send a message to a group of recipients. An algorithm that recommends other possible recipients given an initial set of recipients is introduced in this paper. The algorithm uses different types of local user data: profile, friendship graph, posts, and social interactions (likes, comments, tags). Experimental evaluation using Facebook application demonstrated that the algorithm is able to make suggestions meaningful to experts.
Multicore has become a trend on server and client computers in recent years. Parallelization is one way to fully utilize the computing power provided by multicore architectures. Most applications of interest have comp...
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As current software systems evolve continuously, both the application and its user interface (UI) have to be adapted. However, UI code is often scattered through and entangled with the application code. In large and c...
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Applications need to become more concurrent to take advantage of the increased computational power provided by chip level multiprocessing. Programmers have traditionally managed this concurrency using locks (mutex bas...
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Microcode enables programmability of (micro) architectural structures to enhance functionality and to apply patches to an existing design. As more features get added to a CPU core, the area and power costs associated ...
In object-oriented software engineering roles are considered both classifications and instances. To reduce the gap between the conceptual modelling of roles and a corresponding implementation, we propose a new role mo...
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Software applications often contain implicit knowledge in addition to functionality which is inherently object-oriented. Many approaches and systems exist that focus on separating rule-based knowledge from object-orie...
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ISBN:
(纸本)9781581138122
Software applications often contain implicit knowledge in addition to functionality which is inherently object-oriented. Many approaches and systems exist that focus on separating rule-based knowledge from object-oriented functionality and representing it explicitly in a logic reasoning system. Support for seamless integration of this knowledge with the object-oriented functionality improves software development and evolution. Our hypothesis is that a linguistic symbiosis is required between the logic reasoning and object-oriented programming paradigms in order to achieve seamless integration. This paper presents a symbiotic extension of SOUL, a system which implements a logic programming language and a production system in Smalltalk. The presence of these two logic reasoning systems in SOUL ensures a comprehensive coverage of rule-based reasoning styles, more specifically forward and backward chaining. Our approach is evaluated by means of two case studies. We summarise a comprehensive survey, which shows that existing systems do not fully support seamless integration.
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