A Measure of Semantic Relatedness (MSR) automatically determines how close two words are in meaning. MSRs are used in such Natural Language Processing (NLP) problems as word-sense disambiguation or text summarization. To solve such problems may require millions of relatedness scores, but MSR run-time, clearly a major concern, has rarely been considered in NLP research. To evaluate an MSR, one o...

Identifying the semantic relatedness of two words is an important task for the information retrieval, natural language processing, and text mining. However, due to the diversity of meaning for a word, the semantic relatedness of two words is still hard to precisely evaluate under the limited corpora. Nowadays, Wikipedia is now a huge and wiki-based encyclopedia on the internet that has become a...

We propose an Online MultiTask Learning (Omtl) framework which simultaneously learns the task weight vectors as well as the task relatedness adaptively from the data. Our work is in contrast with prior work on online multitask learning which assumes fixed task relatedness, a priori. Furthermore, whereas prior work in such settings assume only positively correlated tasks, our framework can captu...

Morphological analysis as applied to English has generally involved the study of rules for inflections and derivations. Recent work has attempted to derive such rules from automatic analysis of corpora. Here we study similar issues, but in the context of the biological literature. We introduce a new approach which allows us to assign probabilities of the semantic relatedness of pairs of tokens ...

Personalized recommendations to cold start user is one of the significant challenges in information filtering systems. Most existing systems inherited idea collaborative (CF) and avoids item metadata. For instance, consider a book domain whose metadata are author, publisher, language...etc. The elimination due diverse nature attributes cross-domain environment. Because this ideology, it hard fo...

Code similarity is a central challenge in many programming related applications, such as code search, automatic translation, and plagiarism detection. In this work, we reduce the problem of semantic relatedness between code fragments into a problem of semantic relatedness of textual descriptions. Our main idea is that we can use the relationship between code and its textual descriptions as esta...

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Genetic relatedness is a fundamental determinant of social behavior across species. Over the last few decades, researchers have been investigating the proximate psychological mechanisms that enable humans to assess their genetic relatedness to others. Much of this work has focused on identifying cues that predicted relatedness in ancestral environments and examining how they regulate kin-direct...

Insect societies are vulnerable to exploitation by workers who reproduce selfishly rather than help to rear the queen's offspring. In most species, however, only a small proportion of the workers reproduce. Here, we develop an evolutionarily stable strategy (ESS) model to investigate factors that could explain these observed low levels of reproductive exploitation. Two key factors are identifie...

The psychedelic experience (including psychedelic-induced ego dissolution) can effect lasting change in a person's attitudes and beliefs. Here, we aimed to investigate the association between naturalistic psychedelic use and personality, political perspectives, and nature relatedness using an anonymous internet survey. Participants (N = 893) provided information about their naturalistic psyched...