Page: 1 2 3 4 5 6 7 8... 63
61 |
AND does not mean OR: Using Formal Languages to Study Language Models’ Representations ...
|
|
|
|
BASE
|
|
Show details
|
|
62 |
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images ...
|
|
|
|
BASE
|
|
Show details
|
|
63 |
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
|
|
|
|
BASE
|
|
Show details
|
|
64 |
Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search ...
|
|
|
|
BASE
|
|
Show details
|
|
67 |
VL-BERT+: Detecting Protected Groups in Hateful Multimodal Memes ...
|
|
|
|
BASE
|
|
Show details
|
|
68 |
Attention-based Contextual Language Model Adaptation for Speech Recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
69 |
Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech ...
|
|
|
|
BASE
|
|
Show details
|
|
70 |
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning ...
|
|
|
|
BASE
|
|
Show details
|
|
71 |
LUX (Linguistic aspects Under eXamination): Discourse Analysis for Automatic Fake News Classification ...
|
|
|
|
BASE
|
|
Show details
|
|
72 |
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions ...
|
|
|
|
BASE
|
|
Show details
|
|
74 |
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images ...
|
|
|
|
BASE
|
|
Show details
|
|
75 |
A DQN-based Approach to Finding Precise Evidences for Fact Verification ...
|
|
|
|
BASE
|
|
Show details
|
|
76 |
Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event ...
|
|
|
|
BASE
|
|
Show details
|
|
77 |
A Span-based Dynamic Local Attention Model for Sequential Sentence Classification ...
|
|
|
|
BASE
|
|
Show details
|
|
78 |
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ...
|
|
|
|
BASE
|
|
Show details
|
|
79 |
2A: Sentiment Analysis, Stylistic Analysis, and Argument Mining #1 ...
|
|
|
|
BASE
|
|
Show details
|
|
80 |
On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation ...
|
|
|
|
BASE
|
|
Show details
|
|
Page: 1 2 3 4 5 6 7 8... 63
|
|