A Connectionist Architecture for Learning to Parse

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Figure

Figure 1: A Simple Recurrent Network.

Figure 1:

A Simple Recurrent Network. p.2
Figure 2: A Simple Synchrony Network. The units to which TSVB has been applied are depicted as several units stacked on top of each other, because they store activations for several constituents

Figure 2:

A Simple Synchrony Network. The units to which TSVB has been applied are depicted as several units stacked on top of each other, because they store activations for several constituents p.3
Figure 3: A parse of "John loves a woman".

Figure 3:

A parse of "John loves a woman". p.5
Table 1: Results of experiments on Susanne corpus.

Table 1:

Results of experiments on Susanne corpus. p.6

References

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Related subjects : n/e A Connectionist Architecture for Learning to Parse Learning to parse with IAA weighted loss RANDOM WA L KI NR E P R E S E N T A T I O N S Shanshan D i n g ARITHM E T I C A N DG E O ME T R YO F T H EO P E NP - A D I C D I S C The Business of Surgery: T H E N E X T S T E P