Yu Hai Lu

An exploration on approaches for identifying the personification figure of speech in unstructured data such as natural language.

We investigate the use of multimodal information contained in images as an effective method for enhancing the commonsense of Transformer models for text generation. We perform experiments using BART and T5 on concept-to-text generation, specifically the task of generative commonsense reasoning, or CommonGen. We call our approach VisCTG: Visually Grounded Concept-to-Text Generation. VisCTG involves captioning images representing appropriate everyday scenarios, and using these captions to enrich… Show more

We investigate the use of multimodal information contained in images as an effective method for enhancing the commonsense of Transformer models for text generation. We perform experiments using BART and T5 on concept-to-text generation, specifically the task of generative commonsense reasoning, or CommonGen. We call our approach VisCTG: Visually Grounded Concept-to-Text Generation. VisCTG involves captioning images representing appropriate everyday scenarios, and using these captions to enrich and steer the generation process. Comprehensive evaluation and analysis demonstrate that VisCTG noticeably improves model performance while successfully addressing several issues of the baseline generations, including poor commonsense, fluency, and specificity. Show less

- Technical reviewer for the NLP book "Mastering spaCy" by Duygu Altinok
- Annotated, commented and provided feedback for an introductory book on the NLP Python package spaCy

Citation:
Altinok, D. (2021). Mastering Spacy: an end-to-end practical guide to implementing nlp applications using the python... ecosystem. (R. Kumar, T. Shaikh, S. Pandey, S. Editing, K. Lu, U. Yaseen, S. Roy, & C. Schiaffin, Eds.). PACKT PUBLISHING LIMITED.

PyATE is a Python implementation of term extraction algorithms such as C-Value, Basic, Combo Basic, Weirdness and Term Extractor using spaCy POS tagging.

PyATE extracts term candidates from natural languages and assigns each of the candidates a "termhood", a float which can be interpreted as the relative confidence of the candidate being a term.

A distinction needs to be made between "keywords" and "terms". Terms are technical and often specific to a domain and often includes… Show more

PyATE is a Python implementation of term extraction algorithms such as C-Value, Basic, Combo Basic, Weirdness and Term Extractor using spaCy POS tagging.

PyATE extracts term candidates from natural languages and assigns each of the candidates a "termhood", a float which can be interpreted as the relative confidence of the candidate being a term.

A distinction needs to be made between "keywords" and "terms". Terms are technical and often specific to a domain and often includes jargon while keywords are mainly for categorizing documents. Formally, “a term is the designation of a defined concept in a special language by a linguistic expression. A term may consist of one or more words." (ISO 1087)

Source code can be found at https://github.com/kevinlu1248/pyate. Documentation can be found at https://kevinlu1248.github.io/pyate/ and a web app demonstrating the algorithms can be found at https://pyate-demo.herokuapp.com/. Show less