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The 28th International Conference on Computational Linguistics 2020 (600)
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Hits 41 – 60 of 600
41
Neural Coreference Resolution for Arabic ...
The 28th International Conference on Computational Linguistics 2020
;
Aloraini, Abdulrahman
;
Poesio, Massimo
. - : Underline Science Inc., 2020
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42
Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words ...
The 28th International Conference on Computational Linguistics 2020
;
Guo, Jun
;
Xu, Weiran
. - : Underline Science Inc., 2020
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43
Choosing a Feature Set for Generating Referring Expressions in Context ...
The 28th International Conference on Computational Linguistics 2020
;
Same, Fahime
;
van Deemter, Kees
. - : Underline Science Inc., 2020
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44
Aspect-Similarity-Aware Historical Influence Modeling for Rating Prediction ...
The 28th International Conference on Computational Linguistics 2020
;
Misawa, Shotaro
;
Ohkuma, Tomoko
. - : Underline Science Inc., 2020
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45
Information Extraction from Federal Open Market Committee Statements ...
The 28th International Conference on Computational Linguistics 2020
;
Frunza, Oana
. - : Underline Science Inc., 2020
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46
Social Event: Music for COLING'2020 ...
The 28th International Conference on Computational Linguistics 2020
;
Mille, Simon
. - : Underline Science Inc., 2020
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47
Sentiment Forecasting in Dialog ...
The 28th International Conference on Computational Linguistics 2020
;
Li, Shoushan
;
Wang, Zhongqing
. - : Underline Science Inc., 2020
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48
Exploiting Microblog Conversation Structures to Detect Rumors ...
The 28th International Conference on Computational Linguistics 2020
;
Kao, Hung-Yu
;
Li, Jiawen
. - : Underline Science Inc., 2020
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49
Individual corpora predict fast memory retrieval during reading ...
The 28th International Conference on Computational Linguistics 2020
;
Biemann, Chris
;
Hofmann, Markus J.
. - : Underline Science Inc., 2020
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50
Improving Document-Level Sentiment Analysis with User and Product Context ...
The 28th International Conference on Computational Linguistics 2020
;
Lyu, Chenyang
. - : Underline Science Inc., 2020
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51
Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs ...
The 28th International Conference on Computational Linguistics 2020
;
Li, Lijing
;
Wang, Zikang
. - : Underline Science Inc., 2020
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52
Measuring Alignment to Authoritarian State Media as Framing Bias ...
The 28th International Conference on Computational Linguistics 2020
;
Kao, Hung-Yu
;
Niven, Tim
. - : Underline Science Inc., 2020
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53
Hitachi at SemEval-2020 Task 7: Stacking at Scalewith Heterogeneous Language Models for Humor Recognition ...
The 28th International Conference on Computational Linguistics 2020
;
Miyoshi, Toshinori
;
MORIO, Gaku
. - : Underline Science Inc., 2020
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54
Exploring the Zero Shot Limit of FewRel ...
The 28th International Conference on Computational Linguistics 2020
;
cetoli, alberto
. - : Underline Science Inc., 2020
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55
ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German ...
The 28th International Conference on Computational Linguistics 2020
;
Kew, Tannon
;
Nigmatulina, Iuliia
. - : Underline Science Inc., 2020
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56
DisenE: Disentangling Knowledge Graph Embeddings ...
The 28th International Conference on Computational Linguistics 2020
;
Kou, Xiaoyu
. - : Underline Science Inc., 2020
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57
IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE ...
The 28th International Conference on Computational Linguistics 2020
;
Xing, Luxi
. - : Underline Science Inc., 2020
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58
Query Distillation: BERT-based Distillation for Ensemble Ranking ...
The 28th International Conference on Computational Linguistics 2020
;
Zhang, Wangshu
. - : Underline Science Inc., 2020
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59
Complaint Identification in Social Media with Transformer Networks ...
The 28th International Conference on Computational Linguistics 2020
;
Aletras, Nikolaos
;
Jin, Mali
. - : Underline Science Inc., 2020
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60
AraBench: Benchmarking Dialectal Arabic-English Machine Translation ...
The 28th International Conference on Computational Linguistics 2020
;
Abdelali, Ahmed
;
Dalvi, Fahim
;
Durrani, Nadir
;
SAJJAD, HASSAN
. - : Underline Science Inc., 2020
Abstract:
Low-resource machine translation suffers from the scarcity of training data and the unavailability of standard evaluation sets. While a number of research efforts target the former, the unavailability of evaluation benchmarks remain a major hindrance in tracking the progress in low-resource machine translation. In this paper, we introduce AraBench, an evaluation suite for dialectal Arabic to English machine translation. Compared to Modern Standard Arabic, Arabic dialects are challenging due to their spoken nature, non-standard orthography, and a large variation in dialectness. To this end, we pool together already available Dialectal Arabic-English resources and additionally build novel test sets. AraBench offers 4 coarse, 15 fine-grained and 25 city-level dialect categories, belonging to diverse genres, such as media, chat, religion and travel with varying level of dialectness. We report strong baselines using several training settings: fine-tuning, back-translation and data augmentation. The evaluation ...
Keyword:
Computer and Information Science
;
Natural Language Processing
;
Neural Network
URL:
https://dx.doi.org/10.48448/wbq8-xt62
https://underline.io/lecture/6389-arabench-benchmarking-dialectal-arabic-english-machine-translation
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