Mohsen Mesgar and Michael Strube. 2016. Lexical Coherence Graph Modeling Using Word Embeddings. In Proceedings of the 2016 Conference of the North American ...

2016/06/17 · Coherence is established by semantic connec- tions between sentences of a text which can be modeled by lexical relations. In this pa-.

The lexical coherence graph (LCG), a new graph-based model to represent lexical relations among sentences, is introduced and Kneser-Ney smoothing is adapted ...

Lexical Coherence Graph Modeling Using Word Embeddings. NAACL 2016 · Mohsen Mesgar, Michael Strube · Edit social preview.

Mesgar, Mohsen ; Strube, Michael (2016) Lexical Coherence Graph Modeling Using Word Embeddings. NAACL HLT 2016, The 2016 Conference of the North American ...

Lexical coherence graph modeling using word embeddings. M Mesgar, M Strube. NAACL, 2016. 37, 2016 ; Generating persona-consistent dialogue responses using deep ...

2020/12/08 · Lexical coherence graph modeling using word embeddings. In. Proceedings of the 2016 Conference of the North American Chapter of the ...

2024/03/06 · We introduce a novel neural topic model called the Contextlized Word Topic Model (CWTM), which integrates contextualized word embeddings from BERT.

In addition, we find that all embeddings perform better when CLC occurs within the same sentence, suggesting possible limitations of current computational ...

PDF | On Jan 1, 2020, Sungho Jeon and others published Incremental Neural Lexical Coherence Modeling | Find, read and cite all the research you need on ...