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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
39062
Total Papers
26069
No Code
1086
Twilight
11907
Has Code
30.5%
Survival Rate
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CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models
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Extracting Semantic Concepts and Relations from Scientific Publications by Using Deep Learning
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On the Optimality of Vagueness: "Around", "Between", and the Gricean Maxims
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Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study
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C1 at SemEval-2020 Task 9: SentiMix: Sentiment Analysis for Code-Mixed Social Media Text using Feature Engineering
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Taking Notes on the Fly Helps BERT Pre-training
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Relation Extraction with Self-determined Graph Convolutional Network
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Exploiting stance hierarchies for cost-sensitive stance detection of Web documents
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IITK at the FinSim Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings
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The Cartographer
An Overview of Natural Language State Representation for Reinforcement Learning
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Mono vs Multilingual Transformer-based Models: a Comparison across Several Language Tasks
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Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creation
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Is Machine Learning Speaking my Language? A Critical Look at the NLP-Pipeline Across 8 Human Languages
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Analysis of Predictive Coding Models for Phonemic Representation Learning in Small Datasets
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The SPPD System for Schema Guided Dialogue State Tracking Challenge
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Response to LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
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NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg
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Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English
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A Comparative Study of Lexical Substitution Approaches based on Neural Language Models
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Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption
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Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline
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Sentiment Analysis Using Simplified Long Short-term Memory Recurrent Neural Networks
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