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Found 8 papers, 1 papers with code
OPDAI at SemEval-2022 Task 11: A hybrid approach for Chinese NER using outside Wikipedia knowledge
This article describes the OPDAI submission to SemEval-2022 Task 11 on Chinese complex NER.
Sentence-Level Relation Extraction via Contrastive Learning with Descriptive Relation Prompts
Sentence-level relation extraction aims to identify the relation between two entities for a given sentence.
Enhancing Model Performance in Multilingual Information Retrieval with Comprehensive Data Engineering Techniques
In this paper, we present our solution to the Multilingual Information Retrieval Across a Continuum of Languages (MIRACL) challenge of WSDM CUP 2023\footnote{https://project-miracl. github. io/}.
OPD@NL4Opt: An ensemble approach for the NER task of the optimization problem
In this paper, we present an ensemble approach for the NL4Opt competition subtask 1(NER task).
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC
This paper mainly describes the dma submission to the TempoWiC task, which achieves a macro-F1 score of 77. 05% and attains the first place in this task.
A Semantic Alignment System for Multilingual Query-Product Retrieval
Our models are all trained with cross-entropy loss to classify the query-product pairs into ESCI 4 categories at first, and then we use weighted sum with the 4-class probabilities to get the score for ranking.
Applying Feature Underspecified Lexicon Phonological Features in Multilingual Text-to-Speech
This mapping was tested for whether it could lead to the successful generation of native, non-native, and code-switched speech in the two languages.
Applying Phonological Features in Multilingual Text-To-Speech
We tested whether this mapping could lead to the successful generation of native, non-native, and code-switched speech in the two languages.
