Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Veyseh, Amir Pouran Ben"'
Autor:
Lai, Viet Dac, Ngo, Nghia Trung, Veyseh, Amir Pouran Ben, Man, Hieu, Dernoncourt, Franck, Bui, Trung, Nguyen, Thien Huu
Over the last few years, large language models (LLMs) have emerged as the most important breakthroughs in natural language processing (NLP) that fundamentally transform research and developments in the field. ChatGPT represents one of the most exciti
Externí odkaz:
http://arxiv.org/abs/2304.05613
Event Detection (ED) is the task of identifying and classifying trigger words of event mentions in text. Despite considerable research efforts in recent years for English text, the task of ED in other languages has been significantly less explored. S
Externí odkaz:
http://arxiv.org/abs/2211.05958
Event Extraction (EE) is one of the fundamental tasks in Information Extraction (IE) that aims to recognize event mentions and their arguments (i.e., participants) from text. Due to its importance, extensive methods and resources have been developed
Externí odkaz:
http://arxiv.org/abs/2211.05955
Streaming videos is one of the methods for creators to share their creative works with their audience. In these videos, the streamer share how they achieve their final objective by using various tools in one or several programs for creative projects.
Externí odkaz:
http://arxiv.org/abs/2209.04953
Keyphrase extraction is one of the essential tasks for document understanding in NLP. While the majority of the prior works are dedicated to the formal setting, e.g., books, news or web-blogs, informal texts such as video transcripts are less explore
Externí odkaz:
http://arxiv.org/abs/2209.04951
Mathematical symbols and descriptions appear in various forms across document section boundaries without explicit markup. In this paper, we present a new large-scale dataset that emphasizes extracting symbols and descriptions in scientific documents.
Externí odkaz:
http://arxiv.org/abs/2204.12070
Given the increasing number of livestreaming videos, automatic speech recognition and post-processing for livestreaming video transcripts are crucial for efficient data management as well as knowledge mining. A key step in this process is punctuation
Externí odkaz:
http://arxiv.org/abs/2202.09695
Autor:
Veyseh, Amir Pouran Ben, Meister, Nicole, Yoon, Seunghyun, Jain, Rajiv, Dernoncourt, Franck, Nguyen, Thien Huu
Acronym extraction is the task of identifying acronyms and their expanded forms in texts that is necessary for various NLP applications. Despite major progress for this task in recent years, one limitation of existing AE research is that they are lim
Externí odkaz:
http://arxiv.org/abs/2202.09694
Autor:
Min, Bonan, Ross, Hayley, Sulem, Elior, Veyseh, Amir Pouran Ben, Nguyen, Thien Huu, Sainz, Oscar, Agirre, Eneko, Heinz, Ilana, Roth, Dan
Large, pre-trained transformer-based language models such as BERT have drastically changed the Natural Language Processing (NLP) field. We present a survey of recent work that uses these large language models to solve NLP tasks via pre-training then
Externí odkaz:
http://arxiv.org/abs/2111.01243
Acronyms and abbreviations are the short-form of longer phrases and they are ubiquitously employed in various types of writing. Despite their usefulness to save space in writing and reader's time in reading, they also provide challenges for understan
Externí odkaz:
http://arxiv.org/abs/2101.09893