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Found 6 papers, 3 papers with code
Revisiting Pivot-Based Paraphrase Generation: Language Is Not the Only Optional Pivot
Concretely, we transform a sentence into a variety of different semantic or syntactic representations (including AMR, UD, and latent semantic representation), and then decode the sentence back from the semantic representations.
Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering
Paraphrase generation is an important task in natural language processing.
Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing
We argue that the misprediction of concepts is due to the high relevance between English tokens and AMR concepts.
IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation
Our model outperforms previous state-of-the-art model by a large margin and achieves new state-of-the-art results on the two datasets.
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
We create a multi-modal sarcasm detection dataset based on Twitter.
Sense-Aware Neural Models for Pun Location in Texts
In this paper, we focus on the task of pun location, which aims to identify the pun word in a given short text.
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