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Language Modeling

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Showing 11501–11525 of 14182 papers

TitleStatusHype
Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning—0
On Sampling-Based Training Criteria for Neural Language Modeling—0
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc RetrievalCode0
BERTić -- The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian—0
When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional WeightingCode0
Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training—0
On the Influence of Masking Policies in Intermediate Pre-training—0
Go Forth and Prosper: Language Modeling with Ancient Textual HistoryCode0
Enriching a Model's Notion of Belief using a Persistent Memory—0
A Masked Segmental Language Model for Unsupervised Natural Language SegmentationCode0
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema—0
Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language ModelsCode0
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic EmbeddingsCode0
Bilingual alignment transfers to multilingual alignment for unsupervised parallel text miningCode0
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language ModelsCode0
SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian—0
Mean-Squared Accuracy of Good-Turing Estimator—0
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little—0
UDALM: Unsupervised Domain Adaptation through Language ModelingCode0
IGA : An Intent-Guided Authoring AssistantCode0
Event Detection as Question Answering with Entity InformationCode0
Large-Scale Self- and Semi-Supervised Learning for Speech Translation—0
EAT: Enhanced ASR-TTS for Self-supervised Speech RecognitionCode0
What's in your Head? Emergent Behaviour in Multi-Task Transformer Models—0
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation—0
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