44 citations · 60 across the 6 of their papers we have counts for
6 papers
DRTS Parsing with Structure-Aware Encoding and Decoding
Qiankun Fu, Yue Zhang, Jiangming Liu +1
Discourse representation tree structure (DRTS) parsing is a novel semantic parsing task which has been concerned most recently. State-of-the-art performance can be achieved by a ne…
Multi-Step Inference for Reasoning Over Paragraphs
Jiangming Liu, Matt Gardner, Shay B. Cohen +1
Complex reasoning over text requires understanding and chaining together free-form predicates and logical connectives. Prior work has largely tried to do this either symbolically o…
Evaluating Models' Local Decision Boundaries via Contrast Sets
Matt Gardner, Yoav Artzi, Victoria Basmova +23
Standard test sets for supervised learning evaluate in-distribution generalization. Unfortunately, when a dataset has systematic gaps (e.g., annotation artifacts), these evaluation…
In-Order Transition-based Constituent Parsing
Jiangming Liu, Yue Zhang
Both bottom-up and top-down strategies have been used for neural transition-based constituent parsing. The parsing strategies differ in terms of the order in which they recognize p…
Encoder-Decoder Shift-Reduce Syntactic Parsing
Jiangming Liu, Yue Zhang
Starting from NMT, encoder-decoder neu- ral networks have been used for many NLP problems. Graph-based models and transition-based models borrowing the en- coder components achieve…
Shift-Reduce Constituent Parsing with Neural Lookahead Features
Jiangming Liu, Yue Zhang
Transition-based models can be fast and accurate for constituent parsing. Compared with chart-based models, they leverage richer features by extracting history information from a p…