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Article
Deep bi-directional interaction network for sentence matching
The goal of sentence matching is to determine the semantic relation between two sentences, which is the basis of many downstream tasks in natural language processing, such as question answering and information...
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Chapter and Conference Paper
Explore Coarse-Grained Structures for Syntactically Controllable Paraphrase Generation
Syntactically controlled paraphrase generation can produce diverse paraphrases by exposing syntactic control, where both semantic preservation and syntactic variations are two important factors. Previous works...
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Chapter and Conference Paper
A Joint Model for Graph-Based Chinese Dependency Parsing
In Chinese dependency parsing, the joint model of word segmentation, POS tagging and dependency parsing has become the mainstream framework because it can eliminate error propagation and share knowledge, where...
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Chapter and Conference Paper
Syntax-Aware Attention for Natural Language Inference with Phrase-Level Matching
Natural language inference (NLI) aims to predict whether a premise sentence can infer another hypothesis sentence. Models based on tree structures have shown promising results on this task, but the performance...
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Chapter and Conference Paper
Improved Character-Based Chinese Dependency Parsing by Using Stack-Tree LSTM
Almost all the state-of-the-art methods for Character-based Chinese dependency parsing ignore the complete dependency subtree information built during the parsing process, which is crucial for parsing the rest...