Of the Boolean and
natural language search tools, researchers were assigned a mixture of Westlaw and LexisNexis tools.
Not exact matches
There are extremely powerful
tools that can help knowledge workers find insightful perspectives and answer a whole host of questions they might have about their area of business using
natural language, just like using a
search engine, but far more meaningful.
The
tool,
Natural Language Processing Engine (NLPE), aids in book discovery using a specific keyword algorithm, and functions across multiple
languages, regardless of what
language the reader
searches.
For the researchers using ROSS and either Boolean or
natural language search, we do not know how they balanced the two
tools.
PatentCafe today launched its OSS Patent
Search Engine, a free
tool devoted to making open source software patents searchable using
natural language queries.
Something that I had long wondered was whether
natural language search was truly being offered by the 6
tools tested in Mart's study and it would appear, according to the research, that none of the six legal database
search services offer true
natural language search.
This led Blue Hill to conclude that «[f] or the user, this means that not only is the ROSS
tool generating more relevant results with less noise than Boolean or
natural language search, these results are highly concentrated within the first results that the user sees.»
The Spotlight
tool search supports
natural language searches and includes more web
search results, like weather and sports scores.
Monster
Search provides industry - leading, natural language search and recruitment tools to connect you with the right employees, who have been automatically matched, ranked, and scored based on your hiring require
Search provides industry - leading,
natural language search and recruitment tools to connect you with the right employees, who have been automatically matched, ranked, and scored based on your hiring require
search and recruitment
tools to connect you with the right employees, who have been automatically matched, ranked, and scored based on your hiring requirements.
Move began laying the groundwork for AgentMatch by obtaining sold listing data from MLSs, in exchange for access to Move's «Find»
tool — a «
natural language»
search tool that allows users to comb through listings and also see details like school and demographic information, airport flight paths, flood plains, earthquake fault lines, and past tornadoes and hurricanes.
In return, Move is providing the three MLSs — Midwest Real Estate Data (MRED) in Chicago, MLS Property Information Network Inc. (MLS PIN) in Boston, and the San Francisco Association of Realtors — with its «Find» application, a «
natural language»
search tool that provides access to data aggregated by Move, including property records, neighborhood and school information, and local amenities.