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20162022
most citedCharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters

28 citations · 32 across the 5 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.CL2019

Learning to Select, Track, and Generate for Data-to-Text

Hayate Iso, Yui Uehara, Tatsuya Ishigaki +6

We propose a data-to-text generation model with two modules, one for tracking and the other for text generation. Our tracking module selects and keeps track of salient information…

cs.CL2019

Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation

Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima +1

We propose a new domain adaptation method for Combinatory Categorial Grammar (CCG) parsing, based on the idea of automatic generation of CCG corpora exploiting cheaper resources of…