Chinese relation extraction using lattice gru
WebJun 7, 2024 · For relation extraction, we apply MG lattice, which adopts a lattice-based structure to dynamically integrate word-level features into the character-based method so as to utilize multi-granularity information of inputs without being affected by segmentation ambiguity. ... Li Z, Ding N, Liu Z, et al (2024b) Chinese relation extraction with multi ... WebRelation Extraction; Chinese; Knowledge; Contribution. Propose a multi-grained lattice frame work (MG lattice) for Chinese relation extraction to take advantage of multi-grained language information and external linguistic knowledge. Incorporate word-level information into character sequence inputs so that segmentation errors can be avoided.
Chinese relation extraction using lattice gru
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WebApr 7, 2024 · To address the issues, we propose a multi-grained lattice framework (MG lattice) for Chinese relation extraction to take advantage of multi-grained language information and external linguistic … WebChinese Relation Extraction with Flat-Lattice Encoding 31 segmentation on sentences is needed. Besides, the quality of segmentation will seriously affect the accuracy of the …
WebJul 29, 2024 · In this paper, we propose a Polysemy Rethinking Mechanism on CNN (PRM-CNN) for Chinese relation extraction, which can extract the features of sentences well and further fuse the word and polysemous information according to the rethinking mechanism. 1. WebMay 5, 2024 · A bi-lattice-structured LSTM model for Chinese NER based lattice L STM model, which encodes a sequence of input characters as well as all potential words that match a lexicon without relying on external resources such as dictionaries and multi-task joint training. An Encoding Strategy Based Word-Character LSTM for Chinese NER
WebSep 27, 2024 · Char-GRU-Joint is a multitask neural method considering the three subtasks by sharing Bi-GRU hidden representations. Char-BERT-pipeline ... Yang J. Chinese NER Using Lattice LSTM. In: Proceedings … WebJul 1, 2024 · Relation extraction is a sub-task of natural language processing (NLP) that can discover relations between entity pairs and given unstructured text data. Previous work in the area of relation extraction from text heavily depends on …
Webuse DeepKE [34], an open-source neural network relation extraction toolkit to conducttheexperiments.Forthelattice-basedmodels,wecomparewithBasic- Lattice and MG-Lattice.
WebChinese NER Using Lattice LSTM Yue Zhang and Jie Yang Singapore University of Technology and Design yue [email protected] jie [email protected] Abstract … simply cash card american expressWebThis method achieved very good extraction results. Our research was inspired by the Lattice-LSTM model. For Chinese RE, Xu et al. [3] proposed a model lattice- GRU that could combine word... simply cash business card amexWebRelation Extraction (RE) aims to assign a correct relation class holding between entity pairs in context. However, many existing methods suffer from segmentation errors, especially for Chinese RE. In this paper, an improved lattice encoding is introduced. Our structure is a variant of the flat-lattice Transformer. simplycash® card from american expressWebAug 7, 2024 · Abstract. Relation Extraction (RE) aims to assign a correct relation class holding between entity pairs in context. However, many existing methods suffer from … ray rickenWebAug 3, 2024 · This paper proposes an adaptive method to include word information at the embedding layer using a word lexicon to merge all words that match each character into a character input-based model to solve the information loss problem of MG-Lattice. The method can be combined with other general neural system networks and has transferability. simply cash hazebrouckWebtures. Current Chinese relation extraction models are mostly based on the RNN family. Considering the influence of Chinese word segmentation errors, Zhang et al. [24] utilized the character-word lattice LSTM to obtain sentence represen-tation. Then, Li et al. [8] further solved the polysemy problem of Chinese words, proposing the MG Lattice model. ray richardson marylandWebsider the relative position of lattice also significant for NER. 3 Model 3.1 Converting Lattice into Flat Structure After getting a lattice from characters with a lex-icon, we can flatten it into flat counterpart. The flat-lattice can be defined as a set of spans, and a span corresponds to a token, a head and a tail, like in Figure1(c). ray rich band