Search Results for author: Ryan Culkin

Found 4 papers, 2 papers with code

Iterative Paraphrastic Augmentation with Discriminative Span Alignment

no code implementations1 Jul 2020 Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme

We introduce a novel paraphrastic augmentation strategy based on sentence-level lexically constrained paraphrasing and discriminative span alignment.

Sentence

Multi-Sentence Argument Linking

no code implementations ACL 2020 Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, Benjamin Van Durme

We present a novel document-level model for finding argument spans that fill an event's roles, connecting related ideas in sentence-level semantic role labeling and coreference resolution.

coreference-resolution Semantic Role Labeling +2

Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting

1 code implementation NAACL 2019 J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme

Lexically-constrained sequence decoding allows for explicit positive or negative phrase-based constraints to be placed on target output strings in generation tasks such as machine translation or monolingual text rewriting.

Data Augmentation Machine Translation +3

Neural-Davidsonian Semantic Proto-role Labeling

1 code implementation EMNLP 2018 Rachel Rudinger, Adam Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme

We present a model for semantic proto-role labeling (SPRL) using an adapted bidirectional LSTM encoding strategy that we call "Neural-Davidsonian": predicate-argument structure is represented as pairs of hidden states corresponding to predicate and argument head tokens of the input sequence.

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