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1
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems ...
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2
Many-to-English Machine Translation Tools, Data, and Pretrained Models ...
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3
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering ...
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4
\textit{NewsEdits}: A Dataset of Revision Histories for News Articles (Technical Report: Data Processing) ...
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5
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation ...
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6
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems ...
NAACL 2021 2021; Chawla, Kushal; Clever, Rene. - : Underline Science Inc., 2021
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7
Salience-Aware Event Chain Modeling for Narrative Understanding ...
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8
WARP: Word-level Adversarial ReProgramming ...
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9
Many-to-English Machine Translation Tools ...
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10
Can Sequence-to-Sequence Models Crack Substitution Ciphers? ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.561 Abstract: Decipherment of historical ciphers is a challenging problem. The language of the target plaintext might be unknown, and ciphertext can have a lot of noise. State-of-the-art decipherment methods use beam search and a neural language model to score candidate plaintext hypotheses for a given cipher, assuming the plaintext language is known. We propose an end-to-end multilingual model for solving simple substitution ciphers. We test our model on synthetic and real historical ciphers and show that our proposed method can decipher text without explicit language identification while still being robust to noise. ...
URL: https://dx.doi.org/10.48448/dwqn-0t53
https://underline.io/lecture/25801-can-sequence-to-sequence-models-crack-substitution-ciphersquestion
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11
X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering ...
NAACL 2021 2021; Bui, Trung; Dernoncourt, Franck. - : Underline Science Inc., 2021
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12
Can Sequence-to-Sequence Models Crack Substitution Ciphers? ...
Aldarrab, Nada; May, Jonathan. - : arXiv, 2020
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13
Exploring Early Prediction of Buyer-Seller Negotiation Outcomes ...
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14
Experience Grounds Language ...
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15
SemEval-2020 Task 2: Predicting multilingual and cross-lingual (graded) lexical entailment
Glavaš, Goran; Vulić, Ivan; Korhonen, Anna. - : Association for Computational Linguistics, 2020
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16
A Universal Parent Model for Low-Resource Neural Machine Translation Transfer ...
Gheini, Mozhdeh; May, Jonathan. - : arXiv, 2019
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17
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis ...
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18
HHMM at SemEval-2019 Task 2: Unsupervised frame induction using contextualized word embeddings
Arefyev, Nikolay; Panchenko, Alexander; Anwar, Saba. - : Association for Computational Linguistics, ACL, 2019
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19
A Corpus of Rich Metaphor Annotation ...
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20
A Corpus of Rich Metaphor Annotation ...
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