Construction of cross-language knowledge graph for historical texts

Innovative solutions for cross-lingual alignment and temporal reasoning in diverse languages.

Innovative Multilingual Design Solutions

We specialize in multilingual corpus construction, model fine-tuning, knowledge graph validation, and interpretability analysis to enhance cross-lingual understanding and temporal reasoning.

A laptop displaying a webpage about optimizing language models rests on a wooden table. To the left of the laptop is a white cup containing coffee, with remnants of foam around the edges. A colorful laminated menu stand with a sandwich picture is positioned behind the cup.
A laptop displaying a webpage about optimizing language models rests on a wooden table. To the left of the laptop is a white cup containing coffee, with remnants of foam around the edges. A colorful laminated menu stand with a sandwich picture is positioned behind the cup.

Comprehensive Linguistic Services

We specialize in multilingual corpus construction, model fine-tuning, and knowledge graph validation for diverse applications.

Corpus Construction

Aggregating texts from various sources with multilingual annotations for enhanced linguistic analysis and research.

A computer screen displaying a webpage about ChatGPT, focusing on optimizing language models for dialogue. The webpage has text describing the model and includes the OpenAI logo. The background is green with some purple graphical elements on the side.
A computer screen displaying a webpage about ChatGPT, focusing on optimizing language models for dialogue. The webpage has text describing the model and includes the OpenAI logo. The background is green with some purple graphical elements on the side.
Model Fine-Tuning

Utilizing GPT-4 API to create prompts for cross-lingual alignment and temporal reasoning in text processing.

Visualizing attention weights to enhance interpretability and understanding of model decisions in linguistic tasks.

Interpretability Analysis
A laptop displaying a website about language models is set on a wooden table. A coffee cup is nearby, next to a menu stand featuring a beef dish advertisement.
A laptop displaying a website about language models is set on a wooden table. A coffee cup is nearby, next to a menu stand featuring a beef dish advertisement.
A laptop displays a screen with the title 'ChatGPT: Optimizing Language Models for Dialogue', accompanied by descriptive text. The background shows a blurred image of a sandwich, and there's a white cup on the wooden table next to the laptop.
A laptop displays a screen with the title 'ChatGPT: Optimizing Language Models for Dialogue', accompanied by descriptive text. The background shows a blurred image of a sandwich, and there's a white cup on the wooden table next to the laptop.

Cultural Texts

We aggregate multilingual texts from diverse sources for analysis.

Abstract representation of digital text overlay with questions about large language models, featuring a futuristic, stylized reflection and refracted light effect.
Abstract representation of digital text overlay with questions about large language models, featuring a futuristic, stylized reflection and refracted light effect.
Model Alignment

Utilizing GPT-4 API, we refine prompts for cross-lingual mappings.

A smartphone displays a webpage related to ChatGPT, showcasing details about the language model and its development. The screen shows text explaining ChatGPT's capabilities and origins. In the background, a logo with a neural network design and the word 'ChatGPT' are visible.
A smartphone displays a webpage related to ChatGPT, showcasing details about the language model and its development. The screen shows text explaining ChatGPT's capabilities and origins. In the background, a logo with a neural network design and the word 'ChatGPT' are visible.
Knowledge Graphs

We generate and validate entity-relation triples and timeline graphs using various evaluation metrics for accuracy and performance.

Phases

Multilingual corpus construction and model fine-tuning.

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