Natural language researchers were a bit faster, completing their tasks in 47.2 minutes.
Not exact matches
At the same time, two German
researchers — Sepp Hochreiter, now at the University of Linz, and Jürgen Schmidhuber, codirector of a Swiss AI lab in Lugano — were independently pioneering a different type of algorithm that today, 20 years later, has become crucial for
natural -
language processing applications.
The
researchers used a
natural language processing technique called «latent semantic analysis» to analyze the game descriptions and compute relatedness scores.
The
researchers applied their technique to three different set types of
natural -
language - processing system.
The
researchers hope this study will introduce the use of computer technology as a
natural language data sourcing and processing tool for magic trick design purposes.
Berkeley, CA About Blog The Berkeley Artificial Intelligence Research (BAIR) Lab brings together UC Berkeley
researchers across the areas of computer vision, machine learning,
natural language processing, planning, and robotics.
Our
researchers have expertise in computer adaptive testing, item response theory, covariance structure analysis, meta - analyses, hierarchical modeling, causal analysis, computational statistics, and
natural language processing (NLP).
For the
researchers using ROSS and either Boolean or
natural language search, we do not know how they balanced the two tools.
Of the Boolean and
natural language search tools,
researchers were assigned a mixture of Westlaw and LexisNexis tools.
For instance, they all promote their
natural language searching, so when the keywords go into the search box,
researchers expect relevant results.
With Lexis Answers, a
researcher can ask a
natural -
language question and get back the single - best answer in the form of what Lexis is calling a Lexis Answer Card.
The study assigned
researchers to four groups, one using Boolean search on either Westlaw or LexisNexis, a second using
natural language search on either Westlaw or LexisNexis, a third using ROSS and Boolean search, and fourth using ROSS and
natural language search.
Now, whether through topic - based,
natural language or Boolean searching, lawyers and
researchers can gain a much faster and deeper appreciation of the state of the law on a single, advanced research platform.
Berkeley, CA About Blog The Berkeley Artificial Intelligence Research (BAIR) Lab brings together UC Berkeley
researchers across the areas of computer vision, machine learning,
natural language processing, planning, and robotics.