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The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (830)
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Hits 1 – 20 of 830
1
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Beguš, Gašper
. - : Underline Science Inc., 2021
BASE
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2
Signed Coreference Resolution ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Yin, Kayo
. - : Underline Science Inc., 2021
BASE
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3
Backtranslation in Neural Morphological Inflection ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Hulden, Mans
;
Liu, Ling
. - : Underline Science Inc., 2021
BASE
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4
Rule-based Morphological Inflection Improves Neural Terminology Translation ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Carpuat, Marine
;
Xu, Weijia
. - : Underline Science Inc., 2021
BASE
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5
Translating Headers of Tabular Data: A Pilot Study of Schema Translation ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Gao, Yan
;
Guo, Jiaqi
. - : Underline Science Inc., 2021
BASE
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6
A Prototype Free/Open-Source Morphological Analyser and Generator for Sakha ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Jonathan
;
Ivanova, Sardana
. - : Underline Science Inc., 2021
BASE
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7
Automatic Error Type Annotation for Arabic ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Belkebir, Riadh
;
Habash, Nizar
. - : Underline Science Inc., 2021
BASE
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8
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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9
Cross-document Event Identity via Dense Annotation ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Hasegawa, Kimihiro
;
Li, Linwei
. - : Underline Science Inc., 2021
BASE
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10
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chen, Yuanzhi
;
Hasan, Mohammad
. - : Underline Science Inc., 2021
BASE
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11
(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Shugars, Sarah
. - : Underline Science Inc., 2021
BASE
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12
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Zuo, Simiao
. - : Underline Science Inc., 2021
BASE
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13
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Markus
;
Liu, Can
. - : Underline Science Inc., 2021
BASE
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14
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Han, Jiawei
;
Huang, Jiaxin
. - : Underline Science Inc., 2021
BASE
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15
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Zou, Yicheng
. - : Underline Science Inc., 2021
BASE
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16
HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chen, Sanxing
;
Gao, Jianfeng
. - : Underline Science Inc., 2021
BASE
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17
Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Guellil, Imane
. - : Underline Science Inc., 2021
Abstract:
In this paper, an approach for hate speech detection against women in Arabic community on social media (e.g. Youtube) is proposed. In the literature, similar works have been presented for other languages such as English. However, to the best of our knowledge, not much work has been conducted in the Arabic language. A new hate speech corpus (Arabic_fr_en) is developed using three different annotators. For corpus validation, three different machine learning algorithms are used, including deep Convolutional Neural Network (CNN), long short-term memory (LSTM) network and Bi-directional LSTM (Bi-LSTM) network. Simulation results demonstrate the best performance of the CNN model, which achieved F1-score up to 86\% for the unbalanced corpus as compared to LSTM and Bi-LSTM. ...
Keyword:
Computational Linguistics
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
;
Neural Network
URL:
https://dx.doi.org/10.48448/zrm0-7454
https://underline.io/lecture/39654-ara-women-hate-the-first-arabic-hate-speech-corpus-regarding-women
BASE
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18
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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19
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
He, Lifang
;
LIU, YE
. - : Underline Science Inc., 2021
BASE
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20
Blindness to Modality Helps Entailment Graph Mining ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Mark
;
Bijl de Vroe, Sander
. - : Underline Science Inc., 2021
BASE
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