SENTENCE REPRESENTATION USING LSTM FOR FINDING QUESTION
Tạp chí Khoa họcLearning sentence representation with the full semantics of a document is a challenge in natural language processing problems because if the semantic representation vector of the sentence is suitable, it will increase the performance of finding similar ...
Dinh Khanh Linh, Tran Quang Huy
doaj +1 more source
SCaLAR NITK at SemEval-2024 Task 5: Towards Unsupervised Question Answering system with Multi-level Summarization for Legal Text [PDF]
Manvith Prabhu +2 more
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HW-TSC at SemEval-2022 Task 3: A Unified Approach Fine-tuned on Multilingual Pretrained Model for PreTENS [PDF]
, 2022 Yinglu Li +3 more
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SO at SemEval-2020 Task 7: DeepPavlov Logistic Regression with BERT Embeddings vs SVR at Funniness Evaluation [PDF]
, 2020 А. В. Соловьева
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Dragonfly_captain at SemEval-2023 Task 11: Unpacking Disagreement with Investigation of Annotator Demographics and Task Difficulty [PDF]
, 2023 Ruyuan Wan, Karla Badillo-Urquiola
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NTNU-1$@$ScienceIE at SemEval-2017 Task 10: Identifying and Labelling Keyphrases with Conditional Random Fields [PDF]
, 2017 Erwin Marsi +4 more
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NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness [PDF]
Sanad Malaysha +2 more
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MoRS at SemEval-2017 Task 3: Easy to use SVM in Ranking Tasks [PDF]
, 2017 Miguel J. Rodrigues, Francisco M. Couto
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Masked Reasoner at SemEval-2020 Task 4: Fine-Tuning RoBERTa for Commonsense Reasoning [PDF]
, 2020 Daming Lu
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Team LRL_NC at SemEval-2022 Task 4: Binary and Multi-label Classification of PCL using Fine-tuned Transformer-based Models [PDF]
, 2022 Kushagri Tandon, Niladri Chatterjee
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