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Found 43 papers, 2 papers with code
ClassifierGuesser: A Context-based Classifier Prediction System for Chinese Language Learners
Classifiers are function words that are used to express quantities in Chinese and are especially difficult for language learners.
CogALex-V Shared Task: LOPE
Automatic discovery of semantically-related words is one of the most important NLP tasks, and has great impact on the theoretical psycholinguistic modeling of the mental lexicon.
Why Chinese Web-as-Corpus is Wacky? Or: How Big Data is Killing Chinese Corpus Linguistics
This paper aims to examine and evaluate the current development of using Web-as-Corpus (WaC) paradigm in Chinese corpus linguistics.
A realistic and robust model for Chinese word segmentation
Both experiments support the claim that the WBD model is a realistic model for Chinese word segmentation as it can be easily adapted for new variants with the robust result.
Eigencharacter: An Embedding of Chinese Character Orthography
Chinese characters are unique in its logographic nature, which inherently encodes world knowledge through thousands of years evolution.
Do You Believe It Happened? Assessing Chinese Readers' Veridicality Judgments
A corpus annotated with Chinese readers{'} veridicality judgments is released as the Chinese PragBank for further analysis.
Computational Modeling of Affixoid Behavior in Chinese Morphology
The morphological status of affixes in Chinese has long been a matter of debate.
What confuses BERT? Linguistic Evaluation of Sentiment Analysis on Telecom Customer Opinion
To investigate the factors underlying the correctness of the model’s predictions, we conduct a series of analyses, including qualitative error analysis and quantitative analysis of linguistic features with logistic regressions.
Keyword-centered Collocating Topic Analysis
The rapid flow of information and the abundance of text data on the Internet have brought about the urgent demand for the construction of monitoring resources and techniques used for various purposes.
Augmenting Chinese WordNet semantic relations with contextualized embeddings
Constructing semantic relations in WordNet has been a labour-intensive task, especially in a dynamic and fast-changing language environment.
Sinitic Wordnet: Laying the Groundwork with Chinese Varieties Written in Traditional Characters
The present work seeks to make the logographic nature of Chinese script a relevant research ground in wordnet studies.
CxLM: A Construction and Context-aware Language Model
Next, an experiment is conducted on the dataset to examine to what extent a pretrained masked language model is aware of the constructions.
Character Jacobian: Modeling Chinese Character Meanings with Deep Learning Model
The Notch model first learns the non-linear relations between the constituents and words, and the character Jacobians further describes the character’s role in each word.
Analyzing discourse functions with acoustic features and phone embeddings: non-lexical items in Taiwan Mandarin
In this paper, we investigate the discourse functions of non-lexical items through their acoustic properties and the phone embeddings extracted from a deep learning model.
Exploring Affordance and Situated Meaning in Image Captions: A Multimodal Analysis
This paper explores the grounding issue regarding multimodal semantic representation from a computational cognitive-linguistic view.
Vec2Gloss: definition modeling leveraging contextualized vectors with Wordnet gloss
We propose a `Vec2Gloss' model, which produces the gloss from the target word's contextualized embeddings.
Lexical Retrieval Hypothesis in Multimodal Context
This study highlights the potential of the MultiMoco Corpus to provide an important resource for in-depth analysis and further research in multimodal communication studies.
Resolving Regular Polysemy in Named Entities
Word sense disambiguation primarily addresses the lexical ambiguity of common words based on a predefined sense inventory.
