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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
Abstract:
We present ARETA, an automatic error type annotation system for Modern Standard Arabic. We design ARETA to address Arabic’s morphological richness and orthographic ambiguity. We base our error taxonomy on the Arabic Learner Corpus (ALC) Error Tagset with some modifications. ARETA achieves a performance of 85.8% (micro average F1 score) on a manually annotated blind test portion of ALC. We also demonstrate ARETA’s usability by applying it to a number of submissions from the QALB 2014 shared task for Arabic grammatical error correction. The resulting analyses give helpful insights on the strengths and weaknesses of different submissions, which is more useful than the opaque M2 scoring metrics used in the shared task. ARETA employs a large Arabic morphological analyzer but is completely unsupervised otherwise. We make ARETA publicly available. ...
Keyword:
Computational Linguistics
;
Information Extraction
;
Language Models
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://dx.doi.org/10.48448/1s26-nw85
https://underline.io/lecture/39891-automatic-error-type-annotation-for-arabic
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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
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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