Papers with generation of words
PhraseCTM: Correlated Topic Modeling on Phrases within Markov Random Fields (P18-2)
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| Challenge: | Recent phrase-level topic models are unable to capture the correlation structure among the discovered topics. |
| Approach: | They propose a phrase-level topic model PhraseCTM and a method to find out the correlations of topics at phrase level. |
| Outcome: | The proposed method shows that correlated topic modeling is a good way to interpret themes of corpus. |
Learning Structural Information for Syntax-Controlled Paraphrase Generation (2022.findings-naacl)
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| Challenge: | Syntax-controlled paraphrase generation aims to produce paraphrase conform to given syntactic patterns. |
| Approach: | They propose a model that captures parent-child and sibling relations and a syntax encoder to capture alignment relations. |
| Outcome: | The proposed model achieves state-of-the-art in terms of semantic and syntactic quality on two popular benchmark datasets. |