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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
BASE
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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
BASE
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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
BASE
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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
BASE
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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
Abstract:
Recent years have witnessed substantial progress in the development of neural ranking networks, but also an increasingly heavy computational burden due to growing numbers of parameters and the adoption of model ensembles. Knowledge Distillation (KD) is a common solution to balance the effectiveness and efficiency. However, it is not straightforward to apply KD to ranking problems. Ranking Distillation (RD) has been proposed to address this issue, but only shows effectiveness on recommendation tasks. We present a novel two-stage distillation method for ranking problems that allows a smaller student model to be trained while benefitting from the better performance of the teacher model, providing better control of the inference latency and computational burden. We design a novel BERT-based ranking model structure for list-wise ranking to serve as our student model. All ranking candidates are fed to the BERT model simultaneously, such that the self-attention mechanism can enable joint inference to rank the ...
Keyword:
Computer and Information Science
;
Natural Language Processing
;
Neural Network
URL:
https://underline.io/lecture/6113-query-distillation-bert-based-distillation-for-ensemble-ranking
https://dx.doi.org/10.48448/neg7-rd75
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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
. - : Underline Science Inc., 2020
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