Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy
7th China Conference, CCKS 2022, Qinhuangdao, China, August 24–27, 2022, Revised Selected Papers
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Chapter and Conference Paper
Generalized Implicit Factorization Problem
The Implicit Factorization Problem (IFP) was first introduced by May and Ritzenhofen at PKC’09, which concerns the factorization of two RSA moduli ...
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Chapter and Conference Paper
A Frustratingly Easy Improvement for Position Embeddings via Random Padding
Position embeddings, encoding the positional relationships among tokens in text sequences, make great contributions to modeling local context features in Transformer-based pre-trained language models. However,...
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Article
Open AccessUpconversion nanoparticle platform for efficient dendritic cell antigen delivery and simultaneous tracking
Upconversion nanoparticles (UCNPs) represent a group of NPs that can convert near-infrared (NIR) light into ultraviolet and visible light, thus possess deep tissue penetration power with less background fluore...
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Book and Conference Proceedings
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Article
Open AccessInternal OH− induced cascade quenching of upconversion luminescence in NaYF4:Yb/Er nanocrystals
Internal hydroxyl impurity is known as one of the main detrimental factors affecting the upconversion (UC) efficiency of upconversion luminescence (UCL) nanomaterials. Different from surface/ligand-related emi...
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Book and Conference Proceedings
Natural Language Processing and Chinese Computing
10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13–17, 2021, Proceedings, Part II
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Chapter and Conference Paper
Integrating Manifold Knowledge for Global Entity Linking with Heterogeneous Graphs
Entity Linking (EL) aims to automatically link the mentions in unstructured documents to corresponding entities in a knowledge base (KB), which has recently been dominated by global models. Although many globa...
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Book and Conference Proceedings
Natural Language Processing and Chinese Computing
10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13–17, 2021, Proceedings, Part I
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Chapter and Conference Paper
A Sketch-Based System for Semantic Parsing
This paper presents our semantic parsing system for the evaluation task of open domain semantic parsing in NLPCC 2019. Many previous works formulate semantic parsing as a sequence-to-sequence(seq2seq) problem....
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Chapter and Conference Paper
Evidence Distilling for Fact Extraction and Verification
There has been an increasing attention to the task of fact checking. Among others, FEVER is a recently popular fact verification task in which a system is supposed to extract information from given Wikipedia ...
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Book and Conference Proceedings
Natural Language Processing and Chinese Computing
6th CCF International Conference, NLPCC 2017, Dalian, China, November 8–12, 2017, Proceedings
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Chapter and Conference Paper
A Chinese Question Answering System for Single-Relation Factoid Questions
Aiming at the task of open domain question answering based on knowledge base in NLPCC 2017, we build a question answering system which can automatically find the promised entities and predicates for single-rel...
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Chapter
Deep Learning in Question Answering
Question answering (QA) is a challenging task in natural language processing. Recently, with the remarkable success of deep learning on many natural language processing tasks, including semantic and syntactic ...
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Book and Conference Proceedings
Natural Language Understanding and Intelligent Applications
5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2–6, 2016, Proceedings
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Chapter and Conference Paper
Open Domain Question Answering System Based on Knowledge Base
Aiming at the task of open domain question answering based on knowledge base in NLP&CC 2016, we propose a SPE (subject predicate extraction) algorithm which can automatically extract a subject-predicate pair f...
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Chapter and Conference Paper
Improving Collaborative Filtering with Long-Short Interest Model
Collaborative filtering (CF) has been widely employed within recommender systems in many real-world situations. The basic assumption of CF is that items liked by the same user would be similar and users like t...
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Chapter and Conference Paper
Overview of Baidu Cup 2016: Challenge on Entity Search
Baidu Cup 2016 challenges participants to tackle the problem of entity search in the scenario of Duer. In this paper, we present the overview of this challenge, including the overview of participants, the defi...
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Chapter and Conference Paper
TDSS: A New Word Sense Representation Framework for Information Retrieval
Word sense representation is important in the tasks of information retrieval (IR). Existing lexical databases, e.g., WordNet, and automated word sense representing approaches often use only one view to represe...
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Chapter and Conference Paper
Improving First Order Temporal Fact Extraction with Unreliable Data
In this paper, we deal with the task of extracting first order temporal facts from free text. This task is a subtask of relation extraction and it aims at extracting relations between entity and time. Currentl...
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Chapter and Conference Paper
Detecting Synonymous Predicates from Online Encyclopedia with Rich Features
The integration of Linked Open Data faces great challenges on the semantic level, despite unified data models. Inappropriate use of ontology concepts, namely predicates, impedes knowledge discovery. Although p...
