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The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (48)
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Hits 1 – 20 of 59
1
Developing Conversational Data and Detection of Conversational Humor in Telugu ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Pétur O.
;
Jónsson, Haukur P.
. - : Underline Science Inc., 2021
BASE
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2
Detecting Gender Bias using Explainability ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Krithika
;
Gupta, Gauri
. - : Underline Science Inc., 2021
BASE
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3
Characterizing Test Anxiety on Social Media ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Julka, Esha
;
Kowalishin, Olivia
. - : Underline Science Inc., 2021
BASE
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4
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Ong, Desmond
;
Suresh, Varsha
. - : Underline Science Inc., 2021
BASE
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5
Open Aspect Target Sentiment Classification with Natural Language Prompts ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Birle, Ian
;
Chang, Haw-Shiuan
. - : Underline Science Inc., 2021
BASE
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6
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Maneriker, Pranav
. - : Underline Science Inc., 2021
BASE
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7
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Durrett, Greg
;
Nair, Rohan
. - : Underline Science Inc., 2021
BASE
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8
End-to-end style-conditioned poetry generation: What does it take to learn from examples alone? ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Eger, Steffen
. - : Underline Science Inc., 2021
Abstract:
In this work, we design an end-to-end model for poetry generation based on conditioned recurrent neural network (RNN) language models whose goal is to learn stylistic features (poem length, sentiment, alliteration, and rhyming) from examples alone. We show this model successfully learns the ‘meaning’ of length and sentiment, as we can control it to generate longer or shorter as well as more positive or more negative poems. However, the model does not grasp sound phenomena like alliter- ation and rhyming, but instead exploits low-level statistical cues. Possible reasons include the size of the training data, the relatively low frequency and difficulty of these sublexical phenomena as well as model biases. We show that more recent GPT-2 models also have problems learning sublexical phenomena such as rhyming from examples alone. ...
Keyword:
Computational Creativity
;
Computational Linguistics
;
Language Models
;
Machine Learning
;
Natural language generation
;
Natural Language Processing
;
Neural Network
;
Sentiment Analysis
;
Text Generation
URL:
https://dx.doi.org/10.48448/vbjh-jw57
https://underline.io/lecture/39414-end-to-end-style-conditioned-poetry-generation-what-does-it-take-to-learn-from-examples-alonequestion
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9
Solving Aspect Category Sentiment Analysis as a Text Generation Task ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Liu, Jian
. - : Underline Science Inc., 2021
BASE
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10
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Ke, Zixuan
;
Liu, Bing
. - : Underline Science Inc., 2021
BASE
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11
Improving Multimodal fusion via Mutual Dependency Maximisation ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chapuis, Emile
;
Clavel, Chloé
. - : Underline Science Inc., 2021
BASE
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12
Perceived and Intended Sarcasm Detection with Graph Attention Networks ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Flek, Lucie
;
Plepi, Joan
. - : Underline Science Inc., 2021
BASE
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13
Does Commonsense help in detecting Sarcasm? ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Basu Roy Chowdhury, Somnath
;
Chaturvedi, Snigdha
. - : Underline Science Inc., 2021
BASE
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14
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chen, Guimin
;
qin, han
. - : Underline Science Inc., 2021
BASE
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15
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chandrasekaran, Arjun
;
Clark, Peter
. - : Underline Science Inc., 2021
BASE
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16
LMSOC: An Approach for Socially Sensitive Pretraining ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Aria
;
Kulkarni, Vivek
. - : Underline Science Inc., 2021
BASE
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17
Towards Label-Agnostic Emotion Embeddings ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Buechel, Sven
;
Hahn, Udo
. - : Underline Science Inc., 2021
BASE
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18
The Effect of Round-Trip Translation on Fairness in Sentiment Analysis ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Christiansen, Jonathan Gabel
;
Gammelgaard, Mathias Lykke
. - : Underline Science Inc., 2021
BASE
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19
Multimodal Phased Transformer for Sentiment Analysis ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cheng, Junyan
;
Fostiropoulos, Iordanis
. - : Underline Science Inc., 2021
BASE
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20
MATE: Multi-view Attention for Table Transformer Efficiency ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cohen, William
;
Eisenschlos, Julian
. - : Underline Science Inc., 2021
BASE
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