DE eng

Search in the Catalogues and Directories

Page: 1 2 3
Hits 1 – 20 of 48

1
Developing Conversational Data and Detection of Conversational Humor in Telugu ...
BASE
Show details
2
Detecting Gender Bias using Explainability ...
BASE
Show details
3
Characterizing Test Anxiety on Social Media ...
BASE
Show details
4
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
BASE
Show details
5
Open Aspect Target Sentiment Classification with Natural Language Prompts ...
BASE
Show details
6
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis ...
BASE
Show details
7
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.447/ Abstract: When a model attribution technique highlights a particular part of the input, a user might understand this highlight as making a statement about counterfactuals (Miller, 2019): if that part of the input were to change, the model's prediction might change as well. This paper investigates how well different attribution techniques align with this assumption on realistic counterfactuals in the case of reading comprehension (RC). RC is a particularly challenging test case, as token-level attributions that have been extensively studied in other NLP tasks such as sentiment analysis are less suitable to represent the reasoning that RC models perform. We construct counterfactual sets for three different RC settings, and through heuristics that can connect attribution methods' outputs to high-level model behavior, we can evaluate how useful different attribution methods and even different formats are for understanding counterfactuals. We ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis
URL: https://dx.doi.org/10.48448/rxrd-6468
https://underline.io/lecture/37547-connecting-attributions-and-qa-model-behavior-on-realistic-counterfactuals
BASE
Hide details
8
End-to-end style-conditioned poetry generation: What does it take to learn from examples alone? ...
BASE
Show details
9
Solving Aspect Category Sentiment Analysis as a Text Generation Task ...
BASE
Show details
10
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks ...
BASE
Show details
11
Improving Multimodal fusion via Mutual Dependency Maximisation ...
BASE
Show details
12
Perceived and Intended Sarcasm Detection with Graph Attention Networks ...
BASE
Show details
13
Does Commonsense help in detecting Sarcasm? ...
BASE
Show details
14
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories ...
BASE
Show details
15
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI ...
BASE
Show details
16
LMSOC: An Approach for Socially Sensitive Pretraining ...
BASE
Show details
17
Towards Label-Agnostic Emotion Embeddings ...
BASE
Show details
18
The Effect of Round-Trip Translation on Fairness in Sentiment Analysis ...
BASE
Show details
19
Multimodal Phased Transformer for Sentiment Analysis ...
BASE
Show details
20
MATE: Multi-view Attention for Table Transformer Efficiency ...
BASE
Show details

Page: 1 2 3

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
48
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern