Machine learning methods for language

CONTRASTIVE LEARNING WITH DIALOGUE ATTRIBUTES FOR NEURAL DIALOGUE GENERATION

Towards Zero-Shot Personalized Table-to-Text Generation with Contrastive Persona Distillation

Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken Sentences

SOURCE-FREE UNSUPERVISED DOMAIN ADAPTATION FOR QUESTION ANSWERING

DOPPLER-CODED JOINT DIVISION MULTIPLE ACCESS WAVEFORM FOR AUTOMOTIVE MIMO RADAR

Bridging Speech and Text Pre-trained Models with Unsupervised ASR

Improving BERT Fine-tuning via Stabilizing Cross-layer Mutual Information

BEBERT: Efficient and Robust Binary Ensemble BERT

TableIE: Capturing the Interactions among Sub-tasks in Information Extraction via Double Tables

SENER: Sentiment Element Named Entity Recognition for Aspect-based Sentiment Analysis

Exploiting spatial information with the informed complex-valued spatial autoencoder for target speaker extraction

Adaptive Multi-Corpora Language Model Training for Speech Recognition