[HTML][HTML] When large language models meet personalization: Perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …
intelligence. With the unprecedented scale of training and model parameters, the capability …
A brief survey on recent advances in coreference resolution
The task of resolving repeated objects in natural languages is known as coreference
resolution, and it is an important part of modern natural language processing. It is classified …
resolution, and it is an important part of modern natural language processing. It is classified …
Unifying large language models and knowledge graphs: A roadmap
Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …
field of natural language processing and artificial intelligence, due to their emergent ability …
Lingmess: Linguistically informed multi expert scorers for coreference resolution
While coreference resolution typically involves various linguistic challenges, recent models
are based on a single pairwise scorer for all types of pairs. We present LingMess, a new …
are based on a single pairwise scorer for all types of pairs. We present LingMess, a new …
Cross-document event coreference resolution on discourse structure
Cross-document event coreference resolution (CD-ECR) is a task of clustering event
mentions across multiple documents that refer to the same real-world events. Previous …
mentions across multiple documents that refer to the same real-world events. Previous …
What happens before and after: Multi-event commonsense in event coreference resolution
Event coreference models cluster event mentions pertaining to the same real-world event.
Recent models rely on contextualized representations to recognize coreference among …
Recent models rely on contextualized representations to recognize coreference among …
is better than : Decomposing Event Coreference Resolution into Two Tractable Problems
Event Coreference Resolution (ECR) is the task of linking mentions of the same event either
within or across documents. Most mention pairs are not coreferent, yet many that are …
within or across documents. Most mention pairs are not coreferent, yet many that are …
iFacetSum: Coreference-based interactive faceted summarization for multi-document exploration
We introduce iFacetSum, a web application for exploring topical document sets. iFacetSum
integrates interactive summarization together with faceted search, by providing a novel …
integrates interactive summarization together with faceted search, by providing a novel …
Realistic evaluation principles for cross-document coreference resolution
We point out that common evaluation practices for cross-document coreference resolution
have been unrealistically permissive in their assumed settings, yielding inflated results. We …
have been unrealistically permissive in their assumed settings, yielding inflated results. We …
Contrastive representation learning for cross-document coreference resolution of events and entities
Identifying related entities and events within and across documents is fundamental to natural
language understanding. We present an approach to entity and event coreference …
language understanding. We present an approach to entity and event coreference …