Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
CorPipe at CRAC 2024: Predicting Zero Mentions from Raw Text
We present CorPipe 24, the winning entry to the CRAC 2024 Shared Task on Multilingual Coreference Resolution. In this third iteration of the shared task, a novel objective is to also predict empty nodes needed for zero c…
coreference-resolutionCoreference ResolutionSentenceBridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
Large language models (LLMs) have shown remarkable capabilities in natural language processing; however, they still face difficulties when tasked with understanding lengthy contexts and executing effective question answe…
coreference-resolutionCoreference ResolutionQuestion AnsweringJ2N -- Nominal Adjective Identification and its Application
This paper explores the challenges posed by nominal adjectives (NAs) in natural language processing (NLP) tasks, particularly in part-of-speech (POS) tagging. We propose treating NAs as a distinct POS tag, "JN," and inve…
Chunkingcoreference-resolutionCoreference ResolutionPart-Of-Speech Tagging+3WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case
While measuring bias and robustness in coreference resolution are important goals, such measurements are only as good as the tools we use to measure them. Winogender Schemas (Rudinger et al., 2018) are an influential dat…
coreference-resolutionCoreference ResolutionLanguage ModellingExploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD
Coreference resolution, the task of identifying expressions in text that refer to the same entity, is a critical component in various natural language processing applications. This paper presents a novel end-to-end neura…
coreference-resolutionCoreference ResolutionCross-Lingual TransferMaverick: Efficient and Accurate Coreference Resolution Defying Recent Trends
Large autoregressive generative models have emerged as the cornerstone for achieving the highest performance across several Natural Language Processing tasks. However, the urge to attain superior results has, at times, l…
coreference-resolutionCoreference ResolutionListen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language Models
Speech Integrated Large Language Models (SILLMs) combine large language models with speech perception to perform diverse tasks, such as emotion recognition to speaker verification, demonstrating universal audio understan…
coreference-resolutionCoreference ResolutionEmotion RecognitionQuestion Answering+4Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm
Document-level event extraction aims to extract structured event information from unstructured text. However, a single document often contains limited event information and the roles of different event arguments may be b…
coreference-resolutionCoreference ResolutionDocument-level Event ExtractionEvent ExtractionEnhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information
Existing cross-document event coreference resolution models, which either compute mention similarity directly or enhance mention representation by extracting event arguments (such as location, time, agent, and patient), …
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionSEAM: A Stochastic Benchmark for Multi-Document Tasks
Various tasks, such as summarization, multi-hop question answering, or coreference resolution, are naturally phrased over collections of real-world documents. Such tasks present a unique set of challenges, revolving arou…
coreference-resolutionCoreference ResolutionMulti-hop Question AnsweringQuestion AnsweringContrastive Entity Coreference and Disambiguation for Historical Texts
Massive-scale historical document collections are crucial for social science research. Despite increasing digitization, these documents typically lack unique cross-document identifiers for individuals mentioned within th…
Articlescoreference-resolutionCoreference ResolutionCross Document Coreference Resolution+1Ranking LLMs by compression
We conceptualize the process of understanding as information compression, and propose a method for ranking large language models (LLMs) based on lossless data compression. We demonstrate the equivalence of compression le…
coreference-resolutionCoreference ResolutionData CompressionLanguage Modeling+5EasyECR: A Library for Easy Implementation and Evaluation of Event Coreference Resolution Models
Event Coreference Resolution (ECR) is the task of clustering event mentions that refer to the same real-world event. Despite significant advancements, ECR research faces two main challenges: limited generalizability acro…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionMajor Entity Identification: A Generalizable Alternative to Coreference Resolution
The limited generalization of coreference resolution (CR) models has been a major bottleneck in the task's broad application. Prior work has identified annotation differences, especially for mention detection, as one of …
coreference-resolutionCoreference ResolutionThaiCoref: Thai Coreference Resolution Dataset
While coreference resolution is a well-established research area in Natural Language Processing (NLP), research focusing on Thai language remains limited due to the lack of large annotated corpora. In this work, we intro…
coreference-resolutionCoreference ResolutionCross-Lingual TransferSynergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models
Cross-document event coreference resolution (CDECR) involves clustering event mentions across multiple documents that refer to the same real-world events. Existing approaches utilize fine-tuning of small language models …
coreference-resolutionCoreference ResolutionDiversityEvent Coreference ResolutionPersian Pronoun Resolution: Leveraging Neural Networks and Language Models
Coreference resolution, critical for identifying textual entities referencing the same entity, faces challenges in pronoun resolution, particularly identifying pronoun antecedents. Existing methods often treat pronoun re…
coreference-resolutionCoreference ResolutionLabeling supervised fine-tuning data with the scaling law
This paper introduces a multi-stage manual annotation calibrated by the scaling law, offering a high-quality Supervised Fine-Tuning data acquisition method for environments with constrained resources like GPU poor, limit…
coreference-resolutionCoreference ResolutionGPULanguage Modeling+2Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-binary Pronouns
Gender-neutral pronouns are increasingly being introduced across Western languages. Recent evaluations have however demonstrated that English NLP systems are unable to correctly process gender-neutral pronouns, with the …
coreference-resolutionCoreference ResolutioncounterfactualData AugmentationAsking and Answering Questions to Extract Event-Argument Structures
This paper presents a question-answering approach to extract document-level event-argument structures. We automatically ask and answer questions for each argument type an event may have. Questions are generated using man…
coreference-resolutionCoreference ResolutionData AugmentationQuestion Answering+1