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Elementos para la Transmisión y Recepción De un Sistema Li-Fi

Possessive Noun Phrases In the case where an entity or event mention involves a possessive (such as “[EN person] [EN ’s face]”or “[EN face] of [EN person]”), we may not correctly identify the complete mention. This can be problematic when dropping or extracting the mention. The entity or event mention chunking should probably be changed, but the entity co-reference system will probably want to form co-reference

chains out of both mentions.

X or Y Noun Phrases As was mentioned in subsection A.3.6, when generating reduction rules to split up an “X or Y” case, we end up mixing chunk boundaries from both entity mentions. While this does not appear to cause any problems and is theoretically the correct thing to do, there is a worry that it may be causing undetected errors. Ideally, the X or Y cases should be combined into a single mention, and the entity co-reference system modified to handle mentions that have two possible types.

X and Y Noun Phrases Similar to the previous case, an “X and Y” case where X and Y are of the same type should be treated as a single chunk. However, the entity co-reference system needs a way to deal with groups and individual elements of groups, before turning “X and Y” into a single chunk.

Prepositional Phrases The template for generating prepositional phrase dropping string reductions is fairly bulky. Because it was developed over a fairly long period of time, some of the cases may have been deprecated by improved normalizations.

Second, the induced nesting that occurs when a prepositional phrase string is preceded by another chunk allows prepositions to interact with the subject and verb split reduction rules. However, it is potentially dan- gerous, in terms of changing the internals of EN and VP chunks. So far, no errors due to it have been detected. However, it would probably be preferable to nest the prepositional phrase strings during pre-processing, as- suming this is possible. This will cause a lot of problems for the existing string reduction scripts, and will be a fairly major effort.

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