Papers by Athul Paul Jacob
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance (P18-1)
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| Challenge: | Compared to traditional shift-reduce parsing schemes, our approach is free from the potentially disastrous compounding error. |
| Approach: | They propose a model that predicts a scalar for each split position in a sentence and then determines the topology of grammar tree based on syntactic distances. |
| Outcome: | The proposed model achieves the state-of-the-art single model F1 score of 92.1 on PTB and 86.4 on CTB dataset, surpassing the previous single model results by a large margin. |
Multitasking Inhibits Semantic Drift (2021.naacl-main)
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| Challenge: | Existing studies have found that LLP training is prone to semantic drift (use of messages inconsistent with their natural language meanings) |
| Approach: | They propose to use latent language policies to train neural LLPs to eliminate semantic drift in a well-studied family of signaling games to reduce drift and improve sample efficiency. |
| Outcome: | The proposed model eliminates semantic drift in a well-studied family of signaling games while improving sample efficiency. |