Enhancing Risk Assessment in Transformers with Loss-at-Risk Functions
In the financial field, precise risk assessment tools are essential for decision-making. Recent
studies have challenged the notion that traditional network loss functions like Mean Square …
studies have challenged the notion that traditional network loss functions like Mean Square …
Generating Chinese Event Extraction Method Based on ChatGPT and Prompt Learning
J Chen, P Chen, X Wu - Applied Sciences, 2023 - mdpi.com
Regarding the scarcity of annotated data for existing event extraction tasks and the
insufficient semantic mining of event extraction models in the Chinese domain, this paper …
insufficient semantic mining of event extraction models in the Chinese domain, this paper …
Event-centric query expansion in web search
Y Zhang, W Cui, Y Zhang, X Bai, Z Zhang, J Ma… - arxiv preprint arxiv …, 2023 - arxiv.org
In search engines, query expansion (QE) is a crucial technique to improve search
experience. Previous studies often rely on long-term search log mining, which leads to slow …
experience. Previous studies often rely on long-term search log mining, which leads to slow …
MAILEX: Email Event and Argument Extraction
In this work, we present the first dataset, MailEx, for performing event extraction from
conversational email threads. To this end, we first proposed a new taxonomy covering 10 …
conversational email threads. To this end, we first proposed a new taxonomy covering 10 …
Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferences
Natural language processing (NLP) has grown significantly since the advent of the
Transformer architecture. Transformers have given birth to pre-trained large language …
Transformer architecture. Transformers have given birth to pre-trained large language …
Event-enhanced Retrieval in Real-time Search
Y Zhang, X Bai, T Zhou - arxiv preprint arxiv:2404.05989, 2024 - arxiv.org
The embedding-based retrieval (EBR) approach is widely used in mainstream search
engine retrieval systems and is crucial in recent retrieval-augmented methods for eliminating …
engine retrieval systems and is crucial in recent retrieval-augmented methods for eliminating …
OEE-CFC: A Dataset for Open Event Extraction from Chinese Financial Commentary
Q Wan, C Wan, R Hu, D Liu, X Wenwu… - Findings of the …, 2024 - aclanthology.org
To meet application needs, event extraction has shifted from simple entities to
unconventional entities serving as event arguments. However, current corpora with …
unconventional entities serving as event arguments. However, current corpora with …
Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection
Event detection is a crucial information extraction task in many domains, such as Wikipedia
or news. The task typically relies on trigger detection (TD)--identifying token spans in the text …
or news. The task typically relies on trigger detection (TD)--identifying token spans in the text …
Chinese Open Event Extraction via Low-Rank Adaptation of ChatGLM6b
C Bao, M Lyu, J Tang, S Li, T Wang - … of the 2023 3rd Guangdong-Hong …, 2023 - dl.acm.org
Sentence-level Event Extraction (EE) aims to identify event entities and attributes in a single
sentence. Recently, Title2Event has been proposed, it is the largest manually-annotated …
sentence. Recently, Title2Event has been proposed, it is the largest manually-annotated …
[PDF][PDF] Factualizing Biomedical Event Extraction
JA Vasilakes - 2024 - research.manchester.ac.uk
Factualizing Biomedical Event Extraction Page 1 Factualizing Biomedical Event Extraction A
thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the …
thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the …