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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
BASE
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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
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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
;
Zhang, Yue
;
Zhou, Guodong
;
Zhu, Xiujun
. - : Underline Science Inc., 2020
Abstract:
Sentiment forecasting in dialog aims to predict the polarity of next utterance to come, and can help speakers revise their utterances in sentimental utterances generation. However, the polarity of next utterance is normally hard to predict, due to the lack of content of next utterance (yet to come). In this study, we propose a Neural Sentiment Forecasting (NSF) model to address inherent challenges. In particular, we employ a neural simulation model to simulate the next utterance based on the context (previous utterances encountered). Moreover, we employ a sequence influence model to learn both pair-wise and seq-wise influence. Empirical studies illustrate the importance of proposed sentiment forecasting task, and justify the effectiveness of our NSF model over several strong baselines. ...
Keyword:
Computer and Information Science
;
Natural Language Processing
;
Neural Network
URL:
https://underline.io/lecture/6228-sentiment-forecasting-in-dialog
https://dx.doi.org/10.48448/xvhp-ye38
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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
. - : Underline Science Inc., 2020
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