The following topics are dealt with: naturallanguageprocessing; speech recognition; knowledge representation; word sense disambiguation; pattern extraction; rule extraction; dialogue systems; question and answering;...
The following topics are dealt with: naturallanguageprocessing; speech recognition; knowledge representation; word sense disambiguation; pattern extraction; rule extraction; dialogue systems; question and answering; discourse processing; speech synthesis; document processing; text chunking; digital watermarking; speech enhancement; speaker identification; collocation extraction; information retrieval; term extraction; knowledge acquisition; machine translation; word segmentation; text classification; parsing; text summarization; Web monitoring; semantic-oriented language; computational linguistics.
The proceedings contain 134 papers. The topics discussed include: precisiated naturallanguage (PNL)-toward an enlargement of the role of naturallanguages in computation, deduction, definition and decision;learning o...
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ISBN:
(纸本)0780379020
The proceedings contain 134 papers. The topics discussed include: precisiated naturallanguage (PNL)-toward an enlargement of the role of naturallanguages in computation, deduction, definition and decision;learning ontological knowledge from the web;learning ontological knowledge from the web;language resources in the semantic web vision;naturallanguageprocessing for bio-medical fields: how can we use domain knowledge for NLP;N-best speech hypothesis reordering based on comprehensive information theory;semantics-oriented language understanding with automatic adaptability;pragmatic approach in naturallanguage understanding;efficient implementation of morphological finite-state transition networks employing their statistical properties;and visual information assisted mandarin large vocabulary continuous speech recognition.
The Proceedings contain 158 papers. The topics discussed include: naturallanguageprocessing and knowledge;shallow languageprocessing, deep languageprocessing and domain ontologies;application of boosting to Chines...
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ISBN:
(纸本)0780393619
The Proceedings contain 158 papers. The topics discussed include: naturallanguageprocessing and knowledge;shallow languageprocessing, deep languageprocessing and domain ontologies;application of boosting to Chinese world sense disambiguation;world sense disambiguatuation using multi-engine collaborative bootstapping;rules selection in word sense disambiguation using adaboost;clustering-based feature selection for verb sense disambiguatuation;mining data from simulation of beer production;improving collocation extraction by using syntactic patterns;a parsing algorithms of naturallanguage based on operator precedence;a hybrid statistical model to generate pronunciation variants of words;a robust unsupervised speaker clustering of speech utterances;and genetic algorithms and fuzzy approach to guassian mixture model for speaker recognition.
The proceedings contain 79 papers. The topics discussed include: conceptual difference between WordNet and HowNet;towards shallow semantics: the OntoNotes project;methods and applications for relation detection;resour...
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ISBN:
(纸本)9781424416103
The proceedings contain 79 papers. The topics discussed include: conceptual difference between WordNet and HowNet;towards shallow semantics: the OntoNotes project;methods and applications for relation detection;resource-based naturallanguageprocessing;towards a new generation of language resources: global trends and international convergences;IT ontology and semantic technology;a logical description of metaphor analysis;building new field association word candidates automatically using search engine;experiments of e-mail filtering method based on sender, sentence type, existence of time expression, and subject of mail contents;emotion recognition from text based on the rough set theory and the support vector machines;a Markov logic network learning algorithm form relational missing data;and applying ontology-based semantic measurement for knowledge acquisition in traveling information system.
The proceedings contain 74 papers. The topics discussed include: toward a robust data fusion for document retrieval;semantic similarity computation based on HowNet2008;emotion recognition from blog articles;NP tree ma...
ISBN:
(纸本)9781424427802
The proceedings contain 74 papers. The topics discussed include: toward a robust data fusion for document retrieval;semantic similarity computation based on HowNet2008;emotion recognition from blog articles;NP tree matching for English-Chinese translation of patent titles;automatic identification of non-anaphoric anaphora;exploiting salient word dependency for Chinese NP identification: a study on classifier noun phrase;integrate statistical model and lexical knowledge for Chinese multiword chunking;a chunk-based reordering model for phrase-based SMT systems;answer extraction based on query expansion in Chinese question answering system;the formalization of 'temporal adverbials +ZHE imperfective' sentences;measuring word polysemousness and sense granularity at a language level;and automated essay scoring using set of literary sememes.
The proceedings contain 102 papers. The topics discussed include: image understanding for converting images into naturallanguage text sentences;MT on and for the web;recognizing sentiment polarity in Chinese reviews ...
ISBN:
(纸本)9781424468966
The proceedings contain 102 papers. The topics discussed include: image understanding for converting images into naturallanguage text sentences;MT on and for the web;recognizing sentiment polarity in Chinese reviews based on topic sentiment sentences;graph-based text representation model and its realization;a new method for solving context ambiguities using field association knowledge;weakly supervised relevance feedback based on an improved language model;negation disambiguation using the maximum entropy model;multi-document summarization based on improved features and clustering;extracting opinion sentence by combination of SVM and syntactic templates;a novel Chinese-English on translation method using mix-language web pages;optimizations for item-based collaborative filtering algorithm;texture image retrieval based on gray-primitive co-occurrence matrix;and a method of mining bilingual resources from web based on maximum frequent sequential pattern.
The proceedings contain 89 papers. The topics discussed include: protein-protein interaction extraction based on ensemble kernel model and active learning strategy;using translational score maps to aid MT evaluation;t...
ISBN:
(纸本)9781612847283
The proceedings contain 89 papers. The topics discussed include: protein-protein interaction extraction based on ensemble kernel model and active learning strategy;using translational score maps to aid MT evaluation;theoretical probability of dependency structural trees;sampling latent emotions and topics in a hierarchical Bayesian network;learning the weight of the query term from the relevance feedback;a head-annotated synchronous context-free grammar for hierarchical phrase-based translation;generation of descriptive elements for text;a comparison study of candidate generation for Chinese word segmentation;Chinese sentence compression based on statistics probability and dependency analysis;extracting knowledge about cognitive style;multi-document summarization based on hierarchical topic model;and Chinese textual entailment recognition model based on lexical and semantic matching.
The proceedings contain 96 papers. The topics discussed include: study on similarity of simple questions based on the catering field;a conditional mutual information based selectional association and word sense disamb...
ISBN:
(纸本)9781424445387
The proceedings contain 96 papers. The topics discussed include: study on similarity of simple questions based on the catering field;a conditional mutual information based selectional association and word sense disambiguation;machine translation model using inductive logic programming;using genetic algorithm for Persian grammar induction;Parsumist: a Persian text summarizer;a feature-enhanced smoothing method for LDA model applied to text classification;managing the Google Web 1T 5-gram data set;extending WordNet with compound nouns for semi-automatic annotation in data integration systems;a method for stemming and eliminating common words for Persian text summarization;integrating divergent models for gene mention tagging;recognizing sentence emotions based on polynomial kernel method using Ren-CECps;the picture superiority effect in encoding and retrieval processes during Japanese learning for Chinese bilinguals;and simple linguistic processing effect on multi-label emotion classification.
The following topics are dealt with: naturallanguageprocessing; machine translation; grammars; computational linguistics; knowledgeengineering; speech processing; linguistics; information retrieval; text analysis; ...
The following topics are dealt with: naturallanguageprocessing; machine translation; grammars; computational linguistics; knowledgeengineering; speech processing; linguistics; information retrieval; text analysis; speech recognition.
A backbone of knowledge graphs are their class membership relations, which assign entities to a given class. As part of the knowledgeengineering process, we propose a new method for evaluating the quality of these re...
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ISBN:
(纸本)9783031789519;9783031789526
A backbone of knowledge graphs are their class membership relations, which assign entities to a given class. As part of the knowledgeengineering process, we propose a new method for evaluating the quality of these relations by processing descriptions of a given entity and class using a zero-shot chain-of-thought classifier that uses a naturallanguage intensional definition of a class. We evaluate the method using two publicly available knowledge graphs, Wikidata and CaLiGraph, and 7 large language models. Using the gpt-4-0125-preview large language model, the method's classification performance achieves a macro-averaged F1-score of 0.830 on data from Wikidata and 0.893 on data from CaLiGraph. Moreover, a manual analysis of the classification errors shows that 40.9% of errors were due to the knowledge graphs, with 16.0% due to missing relations and 24.9% due to incorrectly asserted relations. These results show how large language models can assist knowledge engineers in the process of knowledge graph refinement. The code and data are available on Github (https://***/bradleypallen/evaluating-kg-class-memberships-using-llms).
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