REL: An Entity Linker Standing on the Shoulders of Giants
Table 4. Efficiency of REL (in seconds) for 50 documents from AIDA-B with > 200 words, which is 323 (± 105) words and 42 (± 19) mentions per document.
['[EMPTY]', '[BOLD] Time MD', '[BOLD] Time ED']
Specifically, we measure efficiency on a random sample of 50 documents (with a minimum length of 200 words) taken from AIDA- B. The experiments were run on a laptop with Intel i7 CPU (2.80GHz), 16GB RAM, and an NVIDIA Geforce GTX 1050 (4GB) GPU. The results show that detecting the mentions takes considerably more time than ED, and is done more efficiently using GPU. The ED time, however, is less affected by the GPU usage. This indicates that the overall efficiency of REL can be improved by replacing MD with a more efficient NER approach.