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by augustiner
6307 days ago
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The most fundamental problem with natural language search engines is that the "natural language" part is more a limitation than a feature to me. Natural language is meant for people to communicate with other people and not with computers. I believe that a well designed keyword/tag based search combined with factual auto suggestions extracted from formal/semantic sources (similar to wikipedia) could be far more efficient for people to use and computers to run. |
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They have many different types of searches, but the two applicable to this discussion are (as they are written on the site) both "terms & connectors" and "natural language." T&C works well using your standard OR/AND/etc. However, natural language works so much better even though you type in the exact same words.
The natural language search returns cases more on point and has one awesome feature: the most relevant text is in red type, set apart from the rest of the case. From the natural language search West is better able to determine what the legal researcher wants and shows it to him.
I spent almost 2 years of law school searching using terms and connectors because I thought the same thing as you do. But I recently converted when I realized West returns better results from their natural language search.