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The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (1.029)
Cotterell, Ryan (8)
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Hits 61 – 80 of 1.029
61
Extracting Event Temporal Relations via Hyperbolic Geometry ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Tan, Xingwei
. - : Underline Science Inc., 2021
BASE
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62
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Bansal, Mohit
;
Guo, Han
. - : Underline Science Inc., 2021
BASE
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63
Contrastive Explanations for Model Interpretability ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Choi, Yejin
;
Elazar, Yanai
. - : Underline Science Inc., 2021
BASE
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64
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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65
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Choenni, Rochelle
;
Shutova, Ekaterina
. - : Underline Science Inc., 2021
BASE
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66
We've had this conversation before: A Novel Approach to Measuring Dialog Similarity ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Anaby-Tavor, Ateret
;
Boaz, David
. - : Underline Science Inc., 2021
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67
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Baylon, Julia
;
Han, Rujun
. - : Underline Science Inc., 2021
BASE
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68
Visual Goal-Step Inference using wikiHow ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Callison-Burch, Chris
;
Lyu, Qing
. - : Underline Science Inc., 2021
BASE
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69
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cao, Shuyang
;
Wang, Lu
. - : Underline Science Inc., 2021
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70
Truth-Conditional Captions for Time Series Data ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Berg-Kirkpatrick, Taylor
;
Jhamtani, Harsh
. - : Underline Science Inc., 2021
BASE
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71
Knowledge Base Completion Meets Transfer Learning ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Kocijan, Vid
;
Lukasiewicz, Thomas
. - : Underline Science Inc., 2021
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72
Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Collins, Michael
;
Effland, Thomas
. - : Underline Science Inc., 2021
BASE
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73
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Chen, Jiawei
. - : Underline Science Inc., 2021
BASE
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74
Analyzing the Surprising Variability in Word Embedding Stability Across Languages ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Burdick, Laura
;
Kummerfeld, Jonathan
. - : Underline Science Inc., 2021
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75
Neural Machine Translation with Heterogeneous Topic Knowledge Embeddings ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Peng, Wei
. - : Underline Science Inc., 2021
Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.256/ Abstract: Neural Machine Translation (NMT) has shown a strong ability to utilize local context to disambiguate the meaning of words. However, it remains a challenge for NMT to leverage broader context information like topics. In this paper, we propose heterogeneous ways of embedding topic information at the sentence level into an NMT model to improve translation performance. Specifically, the topic information can be incorporated as pre-encoder topic embedding, post-encoder topic embedding, and decoder topic embedding to increase the likelihood of selecting target words from the same topic of the source sentence. Experimental results show that NMT models with the proposed topic knowledge embedding outperform the baselines on the English -> German and English -> French translation tasks. ...
Keyword:
Computational Linguistics
;
Machine Learning
;
Machine Learning and Data Mining
;
Machine translation
;
Natural Language Processing
URL:
https://underline.io/lecture/37366-neural-machine-translation-with-heterogeneous-topic-knowledge-embeddings
https://dx.doi.org/10.48448/z25q-sj61
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76
Towards Zero-Shot Knowledge Distillation for Natural Language Processing ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Ghaddar, Abbas
;
Lioutas, Vasileios
. - : Underline Science Inc., 2021
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77
Corrected CBOW Performs as well as Skip-gram ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Karl
;
Benton, Adrian
. - : Underline Science Inc., 2021
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78
SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Damavandi, Babak
;
Geramifard, Alborz
. - : Underline Science Inc., 2021
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79
Automatic Text Evaluation through the Lens of Wasserstein Barycenters ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Clavel, Chloe
;
Colombo, Pierre
. - : Underline Science Inc., 2021
BASE
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80
Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Funkquist, Martin
. - : Underline Science Inc., 2021
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