no code implementations • WS 2017 • Jessica Ficler, Yoav Goldberg
Most work on neural natural language generation (NNLG) focus on controlling the content of the generated text.
no code implementations • EACL 2017 • Jessica Ficler, Yoav Goldberg
While dependency parsers reach very high overall accuracy, some dependency relations are much harder than others.
no code implementations • EMNLP 2016 • Jessica Ficler, Yoav Goldberg
We propose a neural-network based model for coordination boundary prediction.
1 code implementation • ACL 2016 • Jessica Ficler, Yoav Goldberg
Coordination is an important and common syntactic construction which is not handled well by state of the art parsers.
no code implementations • ACL 2016 • Jessica Ficler, Yoav Goldberg
Syntactic parsers perform poorly in prediction of Argument-Cluster Coordination (ACC).
no code implementations • 4 Mar 2016 • Gabriel Stanovsky, Jessica Ficler, Ido Dagan, Yoav Goldberg
Semantic NLP applications often rely on dependency trees to recognize major elements of the proposition structure of sentences.
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