135 citations · 159 across the 4 of their papers we have counts for
5 papers
Decomposable Neural Paraphrase Generation
Zichao Li, Xin Jiang, Lifeng Shang +1
Paraphrasing exists at different granularity levels, such as lexical level, phrasal level and sentential level. This paper presents Decomposable Neural Paraphrase Generator (DNPG),…
ERNIE: Enhanced Language Representation with Informative Entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu +3
Neural language representation models such as BERT pre-trained on large-scale corpora can well capture rich semantic patterns from plain text, and be fine-tuned to consistently imp…
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence
Yaoming Zhu, Juncheng Wan, Zhiming Zhou +5
Knowledge base is one of the main forms to represent information in a structured way. A knowledge base typically consists of Resource Description Frameworks (RDF) triples which des…
Affective Neural Response Generation
Nabiha Asghar, Pascal Poupart, Jesse Hoey +2
Existing neural conversational models process natural language primarily on a lexico-syntactic level, thereby ignoring one of the most crucial components of human-to-human dialogue…
Incorporating Semantic Knowledge into Latent Matching Model in Search
Shuxin Wang, Xin Jiang, Hang Li +2
The relevance between a query and a document in search can be represented as matching degree between the two objects. Latent space models have been proven to be effective for the t…