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Language Modeling

1624 directly classified papers

Papers per year

Papers

Autoregressive Affective Language Forecasting: A Self-Supervised Task COLING 2020
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity COLING 2020
Arabizi Language Models for Sentiment Analysis COLING 2020
Re-framing Incremental Deep Language Models for Dialogue Processing with Multi-task Learning COLING 2020
LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Pretraining Language Model SEMEVAL 2020
CharBERT: Character-aware Pre-trained Language Model COLING 2020
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities COLING 2020
Probing for Referential Information in Language Models ACL 2020
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation EMNLP 2020
Exploring Controllable Text Generation Techniques COLING 2020
End-to-end NLP Pipelines in Rust EMNLP 2020
“LazImpa”: Lazy and Impatient neural agents learn to communicate efficiently EMNLP 2020
ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training EMNLP 2020
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation EMNLP 2020
Improving Low Compute Language Modeling with In-Domain Embedding Initialisation EMNLP 2020
Modelling Lexical Ambiguity with Density Matrices EMNLP 2020
Differentially Private Language Models Benefit from Public Pre-training EMNLP 2020
Are Some Words Worth More than Others? EMNLP 2020
Grammaticality and Language Modelling EMNLP 2020
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation EMNLP 2020
Discourse structure interacts with reference but not syntax in neural language models EMNLP 2020
Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling EMNLP 2020
Advancing Seq2seq with Joint Paraphrase Learning EMNLP 2020
LSTMs Compose—and Learn—Bottom-Up EMNLP 2020
Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling EMNLP 2020