Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Investigating Cross-Document Event Coreference for Dutch
In this paper we present baseline results for Event Coreference Resolution (ECR) in Dutch using gold-standard (i.e non-predicted) event mentions. A newly developed benchmark dataset allows us to properly investigate the …
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionCoreference Resolution for Polish: Improvements within the CRAC 2022 Shared Task
The paper presents our system for coreference resolution in Polish. We compare the system with previous works for the Polish language as well as with the multilingual approach in the CRAC 2022 Shared Task on Multilingual…
coreference-resolutionCoreference ResolutionEnd-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 resolution system. Apart from joined multilingual tra…
coreference-resolutionCoreference ResolutionFindings 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 develop trainable systems capable of identifying…
Clusteringcoreference-resolutionCoreference ResolutionMachine Reading, Fast and Slow: When Do Models "Understand" Language?
Two of the most fundamental challenges in Natural Language Understanding (NLU) at present are: (a) how to establish whether deep learning-based models score highly on NLU benchmarks for the 'right' reasons; and (b) to un…
coreference-resolutionCoreference ResolutioncounterfactualNatural Language Understanding+1ÚFAL CorPipe at CRAC 2022: Effectivity of Multilingual Models for Coreference Resolution
We describe the winning submission to the CRAC 2022 Shared Task on Multilingual Coreference Resolution. Our system first solves mention detection and then coreference linking on the retrieved spans with an antecedent-max…
coreference-resolutionCoreference ResolutionF-coref: Fast, Accurate and Easy to Use Coreference Resolution
We introduce fastcoref, a python package for fast, accurate, and easy-to-use English coreference resolution. The package is pip-installable, and allows two modes: an accurate mode based on the LingMess architecture, prov…
coreference-resolutionCoreference ResolutionGPUThe Fellowship of the Authors: Disambiguating Names from Social Network Context
Most NLP approaches to entity linking and coreference resolution focus on retrieving similar mentions using sparse or dense text representations. The common "Wikification" task, for instance, retrieves candidate Wikipedi…
Articlescoreference-resolutionCoreference ResolutionEntity Linking+1Efficient and Interpretable Neural Models for Entity Tracking
What would it take for a natural language model to understand a novel, such as The Lord of the Rings? Among other things, such a model must be able to: (a) identify and record new characters (entities) and their attribut…
Coreference ResolutionLanguage ModelingLanguage ModellingQuestion AnsweringMultilingual Coreference Resolution in Multiparty Dialogue
Existing multiparty dialogue datasets for entity coreference resolution are nascent, and many challenges are still unaddressed. We create a large-scale dataset, Multilingual Multiparty Coref (MMC), for this task based on…
coreference-resolutionCoreference ResolutionData AugmentationAlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model
In this work, we demonstrate that multilingual large-scale sequence-to-sequence (seq2seq) models, pre-trained on a mixture of denoising and Causal Language Modeling (CLM) tasks, are more efficient few-shot learners than …
Causal Language ModelingCommon Sense ReasoningCoreference ResolutionDecoder+8N-Grammer: Augmenting Transformers with latent n-grams
Transformer models have recently emerged as one of the foundational models in natural language processing, and as a byproduct, there is significant recent interest and investment in scaling these models. However, the tra…
Common Sense ReasoningCoreference ResolutionLanguage ModelingLanguage Modelling+4A Simple Unsupervised Approach for Coreference Resolution using Rule-based Weak Supervision
Labeled data for the task of Coreference Resolution is a scarce resource, requiring significant human effort. While state-of-the-art coreference models rely on such data, we propose an approach that leverages an end-to-e…
coreference-resolutionCoreference ResolutionIncorporating Subjectivity into Gendered Ambiguous Pronoun (GAP) Resolution using Style Transfer
The GAP dataset is a Wikipedia-based evaluation dataset for gender bias detection in coreference resolution, containing mostly objective sentences. Since subjectivity is ubiquitous in our daily texts, it becomes necessar…
Bias Detectioncoreference-resolutionCoreference ResolutionGender Bias Detection+1Learning to Embed Multi-Modal Contexts for Situated Conversational Agents
The Situated Interactive Multi-Modal Conversations (SIMMC) 2.0 aims to create virtual shopping assistants that can accept complex multi-modal inputs, i.e. visual appearances of objects and user utterances. It consists of…
coreference-resolutionCoreference ResolutionDecoderdialog state tracking+3Cross-document Misinformation Detection based on Event Graph Reasoning
For emerging events, human readers are often exposed to both real news and fake news. Multiple news articles may contain complementary or contradictory information that readers can leverage to help detect fake news. Insp…
Articlescoreference-resolutionCoreference ResolutionEvent Coreference Resolution+2End-to-End Chinese Speaker Identification
Speaker identification (SI) in texts aims to identify the speaker(s) for each utterance in texts. Previous studies divide SI into several sub-tasks (e.g., quote extraction, named entity recognition, gender identification…
coreference-resolutionCoreference ResolutionMachine Reading Comprehensionnamed-entity-recognition+4Incorporating Centering Theory into Neural Coreference Resolution
In recent years, transformer-based coreference resolution systems have achieved remarkable improvements on the CoNLL dataset. However, how coreference resolvers can benefit from discourse coherence is still an open quest…
coreference-resolutionCoreference ResolutionOpen-Ended Question AnsweringRecognition of They/Them as Singular Personal Pronouns in Coreference Resolution
As using they/them as personal pronouns becomes increasingly common in English, it is important that coreference resolution systems work as well for individuals who use personal “they” as they do for those who use gender…
coreference-resolutionCoreference ResolutionKnowledge Extraction From Texts Based on Wikidata
This paper presents an effort within our company of developing knowledge extraction pipeline for English, which can be further used for constructing an entreprise-specific knowledge base. We present a system consisting o…
coreference-resolutionCoreference ResolutionRelationRelation Extraction