Results 41 to 50 of about 325 (164)

Automatic Construction of Sememe Knowledge Bases via Dictionaries [PDF]

open access: yesFindings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021
A sememe is defined as the minimum semantic unit in linguistics. Sememe knowledge bases (SKBs), which comprise words annotated with sememes, enable sememes to be applied to natural language processing. So far a large body of research has showcased the unique advantages and effectiveness of SKBs in various tasks.
Fanchao Qi   +5 more
openaire   +2 more sources

Unsupervised Neural Aspect Extraction with Sememes [PDF]

open access: yesProceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Aspect extraction relies on identifying aspects by discovering coherence among words, which is challenging when word meanings are diversified and processing on short texts. To enhance the performance on aspect extraction, leveraging lexical semantic resources is a possible solution to such challenge.
Ling Luo   +6 more
openaire   +1 more source

Lexical and Semantic Structure of the Kalmyk Verb of Motion һарх ‘Go / Come out’: a Case Study of the Jangar Epic

open access: yesМонголоведение, 2019
Goals. The work seeks to consider the Kalmyk multivalent verb of motion ɤarkh ʻleave, come outʼ, and identify its lexical-semantic variants. Materials. The paper analyzes texts of the Jangar epic songs. Results.
Saglar E. Bachaeva
doaj   +1 more source

Modeling Semantic Compositionality with Sememe Knowledge [PDF]

open access: yesProceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019
Semantic compositionality (SC) refers to the phenomenon that the meaning of a complex linguistic unit can be composed of the meanings of its constituents. Most related works focus on using complicated compositionality functions to model SC while few works consider external knowledge in models.
Fanchao Qi   +6 more
openaire   +2 more sources

SememeASR: Boosting Performance of End-to-End Speech Recognition against Domain and Long-Tailed Data Shift with Sememe Semantic Knowledge

open access: yes, 2023
Recently, excellent progress has been made in speech recognition. However, pure data-driven approaches have struggled to solve the problem in domain-mismatch and long-tailed data.
Wu, Zhiyong   +3 more
core   +1 more source

Process-Event Sememe Verbal Nouns in French

open access: yesLimbaj si Context, 2015
Verbs of action and their derivatives (verbal nouns) are in strong connection. The class of verbal nouns is characterized by a set of features that determine the link with the verbal ancestor.
Victoria Mascaliuc
doaj   +1 more source

Symbolary of Regional Identity: Research Issues

open access: yesВестник Волгоградского государственного университета: Серия 2. Языкознание, 2022
The article deals with the issues explored by a new branch of the science of language and culture interaction – territorial linguaculturology; the prospects of regional identification study with the focus on verbal means are noted.
Grigory Tokarev
doaj   +1 more source

Improving word vector model with part‐of‐speech and dependency grammar information

open access: yesCAAI Transactions on Intelligence Technology, Volume 5, Issue 4, Page 276-282, December 2020., 2020
Part‐of‐speech (POS) and dependency grammar (DG) are the basic components of natural language processing. However, current word vector models have not made full use of both POS information and DG information, and hence the models’ performances are limited to some extent.
Chunhui Deng, Gangming Lai, Huifang Deng
wiley   +1 more source

Automatic construction of sememe knowledge bases from machine readable dictionaries

open access: yes, 2023
Sememes are the minimum semantic units of natural languages. Words annotated with sememes are organized into Sememe Knowledge Bases (SKBs). SKBs are successfully applied to various high-level language processing tasks as external knowledge bases. However,
Koç, Aykut, Battal, Ömer Musa
core   +1 more source

[Retracted] The Measurement of Chinese Sentence Semantic Complexity

open access: yesComplexity, Volume 2020, Issue 1, 2020., 2020
The complexity of language is usually reflected in the complexity of sentences. At present, the research of sentence complexity mainly focuses on the analysis of syntactic complexity. In this paper, from the perspective of Leech′s theory of sentence semantic structure, the predication structure is taken as the semantic unit to explore the sentence ...
Shuqin Zhu   +5 more
wiley   +1 more source

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