A study that analyzed, over four years, thousands of reports of dreams and waking experiences reports that what we dream is shaped by stable individual traits, such as attitudes toward dreaming, the ...

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...

Reading is a crucial human skill and learning novel written word forms is a life-long process. Here, we tracked the emergence of novel word lexical and neural representations after a training ...

Retrieval-Augmented Generation (RAG) systems generally rely on dense embedding models that map queries and documents into fixed-dimensional vector spaces. While this approach has become the default ...

As a vital venue for cultural communication, museums rely heavily on accurate English translations of in-house commentaries to guarantee effective cross-cultural exchange. Taking the English ...

Abstract: Lexical simplification (LS) method based on pretrained language models is a straightforward yet powerful approach for generating potential substitutes for a complex word through analysis of ...

The vocabulary of any language emphasizes some areas more than others, and the number of terms for fish, cattle, smells, and other concepts varies across languages. Most work on lexical elaboration ...

Commonsense reasoning remains a major challenge in AI, and yet, recent progresses on benchmarks may seem to suggest otherwise. In particular, the recent neural language models have reported above 90% ...

Center for Exploratory Research, Research and Development Group, Hitachi, Ltd., 1-280, Higashi-Koigakubo, Kokubunji-shi, Tokyo 185-8601, Japan ...

Abstract: Lexical simplification has attracted much attention in many languages, which is the process of replacing complex words in a given sentence with simpler alternatives of equivalent meaning.