🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
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Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment
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Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness
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Mimicking Word Embeddings using Subword RNNs
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On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
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The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations
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When is multitask learning effective? Semantic sequence prediction under varying data conditions
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Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods
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Towards Debiasing NLU Models from Unknown Biases
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Pre-training via Paraphrasing
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Measuring Emotions in the COVID-19 Real World Worry Dataset
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Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
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EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
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No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
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Story Ending Generation with Incremental Encoding and Commonsense Knowledge
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A Combined CNN and LSTM Model for Arabic Sentiment Analysis
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Towards Robust Neural Machine Translation
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Learning Semantic Textual Similarity from Conversations
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Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter
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NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints
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Simple and Effective Text Matching with Richer Alignment Features
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Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network
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Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency
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