zhangmeishan@tju.edu.cn
未公开
副教授
基于移进归约算法的细粒度意见挖掘

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汉语解释性意见挖掘关键技术研究

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面向特定领域的文本语义分析关键技术

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面向产品评论的汉语解释性意见挖掘关键技术研究

Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus

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DRTS Parsing with Structure-Aware Encoding and Decoding

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Segmenting Chinese Microtext: Joint Informal-Word Detection and Segmentation with Neural Networks

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A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures

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Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank

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End-to-End Neural Opinion Extraction with a Transition-based Model

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A Simple and Effective Neural Model for Joint Word Segmentation and POS Tagging

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Transition-Based Neural Word Segmentation Using Word-Level Features.

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End-to-End Neural Relation Extraction with Global Optimization

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Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations

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Adversarial Learning for Chinese NER from Crowd Annotations

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Joint POS Tagging and Dependency Parsing with Transition-based Neural Networks

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Transition-based Neural RST Parsing with Implicit Syntax Features

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A neural joint model for entity and relation extraction from biomedical text

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Recognizing irregular entities in biomedical text via deep neural networks

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A Neural Joint Model for Extracting Bacteria and Their Locations

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Gated Neural Networks for Targeted Sentiment Analysis

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Transition-Based Neural Word Segmentation

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Chinese Parsing Exploiting Characters

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Neural Networks for Open Domain Targeted Sentiment

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Character-Level Chinese Dependency Parsing

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Tweet Sarcasm Detection Using Deep Neural Network

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Event-Driven Headline Generation

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A Transition-based Model for Joint Segmentation, POS-tagging and Normalization

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Joint Models for Extracting Adverse Drug Events from Biomedical Text

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Chinese Sentiment Analysis Exploiting Heterogeneous Segmentations

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Extracting Chinese Explanatory Expressions with Discrete and Neural CRFs

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Stance detection in Chinese microblogs with neural networks

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N3LDG: 一种轻量级自然语言处理深度学习库

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Jointly or Separately: Which is Better for Parsing Heterogeneous Dependencies?

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Stacking Heterogeneous Joint Models of Chinese POS Tagging and Dependency Parsing

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Improving Twitter Sentiment Classification Using Topic-Enriched Multi-Prototype Word Embeddings

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Context-Sensitive Twitter Sentiment Classification Using Neural Network

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Type-supervised domain adaptation for joint segmentation and pos-tagging

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统计与词典相结合的领域自适应中文分词

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Combining discrete and continuous features for deterministic transition-based dependency parsing

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Discrete and Neural Models for Chinese POS Tagging: Comparison and Combination

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LibN3L: A Lightweight Package for Neural NLP

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A Semantics Oriented Grammar for Chinese Treebanking

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Improve Chinese Semantic Dependency Parsing via Syntactic Dependency Parsing

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Dependency Tree Representations of Predicate-Argument Structures

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SemEval-2012 Task 5: Chinese semantic dependency parsing

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Combining Discrete and Neural Features for Sequence Labeling

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Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling