A survey on semantic processing techniques
Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …
era of powerful pre-trained language models and large language models, the advancement …
Findings of the shared task on multilingual coreference resolution
This paper presents an overview of the shared task on multilingual coreference resolution
associated with the CRAC 2022 workshop. Shared task participants were supposed to …
associated with the CRAC 2022 workshop. Shared task participants were supposed to …
Findings of the second shared task on multilingual coreference resolution
This paper summarizes the second edition of the shared task on multilingual coreference
resolution, held with the CRAC 2023 workshop. Just like last year, participants of the shared …
resolution, held with the CRAC 2023 workshop. Just like last year, participants of the shared …
Opinion Piece: Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes
A Zeldes - Dialogue & Discourse, 2022 - journals.uic.edu
Current work on automatic coreference resolution has focused on the OntoNotes benchmark
dataset, due to both its size and consistency. However many aspects of the OntoNotes …
dataset, due to both its size and consistency. However many aspects of the OntoNotes …
Enhancing Turkish Coreference Resolution: Insights from deep learning, dropped pronouns, and multilingual transfer learning
Coreference resolution (CR), which is the identification of in-text mentions that refer to the
same entity, is a crucial step in natural language understanding. While CR in English has …
same entity, is a crucial step in natural language understanding. While CR in English has …
Parseme meets universal dependencies: Getting on the same page in representing multiword expressions
Multiword expressions (MWEs) are challenging and pervasive phenomena whose
idiosyncratic properties show notably at the levels of lexicon, morphology, and syntax. Thus …
idiosyncratic properties show notably at the levels of lexicon, morphology, and syntax. Thus …
End-to-end Multilingual Coreference Resolution with Mention Head Prediction
This paper describes our approach to the CRAC 2022 Shared Task on Multilingual
Coreference Resolution. Our model is based on a state-of-the-art end-to-end coreference …
Coreference Resolution. Our model is based on a state-of-the-art end-to-end coreference …
Can Large Language Models Understand Context?
Understanding context is key to understanding human language, an ability which Large
Language Models (LLMs) have been increasingly seen to demonstrate to an impressive …
Language Models (LLMs) have been increasingly seen to demonstrate to an impressive …
Findings of the Third Shared Task on Multilingual Coreference Resolution
The paper presents an overview of the third edition of the shared task on multilingual
coreference resolution, held as part of the CRAC 2024 workshop. Similarly to the previous …
coreference resolution, held as part of the CRAC 2024 workshop. Similarly to the previous …
Incorporating dropped pronouns into coreference resolution: the case for Turkish
Abstract Representation of coreferential relations is a challenging and actively studied topic
for pro-drop and morphologically rich languages (PD-MRLs) due to dropped pronouns (eg …
for pro-drop and morphologically rich languages (PD-MRLs) due to dropped pronouns (eg …