Page: 1 2 3 4 5 6 7 8 9... 80
82 |
Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization ...
|
|
|
|
BASE
|
|
Show details
|
|
83 |
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation ...
|
|
|
|
BASE
|
|
Show details
|
|
85 |
ClauseRec: A Clause Recommendation Framework for AI-aided Contract Authoring ...
|
|
|
|
BASE
|
|
Show details
|
|
86 |
Improving Multimodal fusion via Mutual Dependency Maximisation ...
|
|
|
|
BASE
|
|
Show details
|
|
87 |
Jump-Starting Item Parameters for Adaptive Language Tests ...
|
|
|
|
BASE
|
|
Show details
|
|
88 |
Decoding Word Embeddings with Brain-Based Semantic Features ...
|
|
|
|
BASE
|
|
Show details
|
|
90 |
Automated Template Paraphrasing for Conversational Assistants ...
|
|
|
|
BASE
|
|
Show details
|
|
91 |
AUTOSUMM: Automatic Model Creation for Text Summarization ...
|
|
|
|
BASE
|
|
Show details
|
|
92 |
Understanding and Overcoming the Challenges of Efficient Transformer Quantization ...
|
|
|
|
BASE
|
|
Show details
|
|
93 |
Low-resource Taxonomy Enrichment with Pretrained Language Models ...
|
|
|
|
BASE
|
|
Show details
|
|
94 |
Data Efficient Masked Language Modeling for Vision and Language ...
|
|
|
|
BASE
|
|
Show details
|
|
95 |
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering ...
|
|
|
|
BASE
|
|
Show details
|
|
96 |
A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods ...
|
|
|
|
BASE
|
|
Show details
|
|
98 |
Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries ...
|
|
|
|
BASE
|
|
Show details
|
|
99 |
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience ...
|
|
|
|
BASE
|
|
Show details
|
|
100 |
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade ...
|
|
|
|
BASE
|
|
Show details
|
|
Page: 1 2 3 4 5 6 7 8 9... 80
|
|