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ACL2018优质论文合集

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  • 开发语言:Others
  • 实例大小:19.52M
  • 下载次数:1
  • 浏览次数:119
  • 发布时间:2020-07-12
  • 实例类别:一般编程问题
  • 发 布 人:robot666
  • 文件格式:.zip
  • 所需积分:2
 

实例介绍

【实例简介】
ACL2018优质论文合集,按照任务类别进行了分类,PDF文件名即为论文名称
【实例截图】
【核心代码】
20466162ACL2018优质论文合集
└── ACL2018优质论文合集
├── 百度
│   ├── Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task.pdf
│   ├── DuReader a Chinese Machine Reading Comprehension Dataset from Real-world Applications.pdf
│   ├── Joint Training of Candidate Extraction and Answer Selection in Reading Comprehension.pdf
│   └── Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification.pdf
├── 腾讯
│   ├── Automatic Article Commenting the Task and Dataset.pdf
│   ├── Learning Domain-Sensitive and Sentiment-Aware Word Embeddings.pdf
│   ├── Towards Robust Neural Machine Translation.pdf
│   ├── Transformation Networks for Target-Oriented Sentiment Classification.pdf
│   └── hyperdoc2vec Distributed Representations of Hypertext Documents.pdf
├── 强基线
│   ├── Baseline Needs More Love On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.pdf
│   ├── Strong Baselines for Neural Semi-supervised Learning under Domain Shift.pdf
│   └── Unsupervised Random Walk Sentence Embeddings A Strong but Simple Baseline.pdf
├── 探索模型
│   ├── Deep RNNs Encode Soft Hierarchical Syntax.pdf
│   ├── Deep-speare A Joint Neural Model of Poetic Language, Meter and Rhyme.pdf
│   ├── Exploring Semantic Properties of Sentence Embeddings.pdf
│   ├── LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better.pdf
│   ├── LSTMs Exploit Linguistic Attributes of Data.pdf
│   ├── Numeracy for Language Models Evaluating and Improving their Ability to Predict Numbers.pdf
│   ├── Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers.pdf
│   └── What you can cram into a single vector Probing sentence embeddings for linguistic properties.pdf
├── 最佳论文
│   ├── Finding syntax in human encephalography with beam search.pdf
│   ├── Know What You Don't Know Unanswerable Questions for SQuAD.pdf
│   ├── Learning to Ask Good Questions Ranking Clarification Questions using Neural Expected Value of Perfect Information.pdf
│   └── Let’s do it “again” A First Computational Approach to Detecting Adverbial Presupposition Triggers.pdf
├── 对抗性实例
│   ├── Adversarial Contrastive Estimation.pdf
│   ├── HotFlip White-Box Adversarial Examples for Text Classification.pdf
│   └── Towards Robust Neural Machine Translation.pdf
├── 改进评估方法
│   ├── Improving Text-to-SQL Evaluation Methodology.pdf
│   ├── The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing.pdf
│   └── The price of debiasing automatic metrics in natural language evaluation.pdf
├── 更难的数据集
│   ├── Constructing Datasets for Multi-hop Reading Comprehension Across Documents.pdf
│   └── The NarrativeQA Reading Comprehension Challenge.pdf
├── 理解最先进的模型
│   ├── Breaking NLI Systems with Sentences that Require Simple Lexical Inferences.pdf
│   └── Did the Model Understand the Question.pdf
└── 用多种语言和资源较少的语言评价
├── A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings.pdf
├── On the Limitations of Unsupervised Bilingual Dictionary Induction.pdf
└── Triangular Architecture for Rare Language Translation.pdf

11 directories, 37 files

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