1 |
Matching Tweets With Applicable Fact-Checks Across Languages ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Deep Learning for Text Style Transfer: A Survey
|
|
|
|
In: Computational Linguistics, 48 (1) (2022)
|
|
BASE
|
|
Show details
|
|
4 |
FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Exploring Self-Identified Counseling Expertise in Online Support Forums ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Analyzing the Surprising Variability in Word Embedding Stability Across Languages ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
STaCK: Sentence Ordering with Temporal Commonsense Knowledge ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Hitting your MARQ: Multimodal ARgument Quality Assessment in Long Debate Video ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact
|
|
|
|
In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021)
|
|
BASE
|
|
Show details
|
|
17 |
Leveraging Longitudinal Data for Personalized Prediction and Word Representations
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Leveraging Social Media as a Thermometer to Gauge Patient and Caregiver Concerns: COVID-19 and Prostate Cancer
|
|
|
|
In: Eur Urol Open Sci (2021)
|
|
BASE
|
|
Show details
|
|
19 |
"Judge me by my size (noun), do you?'' YodaLib: A Demographic-Aware Humor Generation Framework ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|