Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Crosslingual Generalization through Multitask Finetuning
Multitask prompted finetuning (MTF) has been shown to help large language models generalize to new tasks in a zero-shot setting, but so far explorations of MTF have focused on English data and models. We apply MTF to the…
Coreference ResolutionCross-Lingual TransferQuestion AnsweringSentence Completion+2Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
Fully-parametric language models generally require a huge number of model parameters to store the necessary knowledge for solving multiple natural language tasks in zero/few-shot settings. In addition, it is hard to adap…
Common Sense ReasoningCoreference ResolutionLanguage ModelingLanguage Modelling+7He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues
In this work, we define a new style transfer task: perspective shift, which reframes a dialogue from informal first person to a formal third person rephrasing of the text. This task requires challenging coreference resol…
coreference-resolutionCoreference ResolutionNews SummarizationStyle TransferAutoregressive Structured Prediction with Language Models
Recent years have seen a paradigm shift in NLP towards using pretrained language models ({PLM}) for a wide range of tasks. However, there are many difficult design decisions to represent structures (e.g. tagged text, cor…
Coreference ResolutionNamed Entity RecognitionNamed Entity Recognition (NER)Prediction+2Investigating the Role of Centering Theory in the Context of Neural Coreference Resolution Systems
Centering theory (CT; Grosz et al., 1995) provides a linguistic analysis of the structure of discourse. According to the theory, local coherence of discourse arises from the manner and extent to which successive utteranc…
coreference-resolutionCoreference ResolutionWorld KnowledgeCross-document Event Coreference Search: Task, Dataset and Modeling
The task of Cross-document Coreference Resolution has been traditionally formulated as requiring to identify all coreference links across a given set of documents. We propose an appealing, and often more applicable, comp…
Coreference ResolutionCross Document Coreference ResolutionOpen-Domain Question AnsweringPassage Retrieval+2Joint Coreference Resolution for Zeros and non-Zeros in Arabic
Most existing proposals about anaphoric zero pronoun (AZP) resolution regard full mention coreference and AZP resolution as two independent tasks, even though the two tasks are clearly related. The main issues that need …
coreference-resolutionCoreference ResolutionScaling Instruction-Finetuned Language Models
Finetuning language models on a collection of datasets phrased as instructions has been shown to improve model performance and generalization to unseen tasks. In this paper we explore instruction finetuning with a partic…
Coreference ResolutionCross-Lingual Question AnsweringMMLUMulti-task Language Understanding+2Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective
We propose a new paradigm for zero-shot learners that is format agnostic, i.e., it is compatible with any format and applicable to a list of language tasks, such as text classification, commonsense reasoning, coreference…
Coreference ResolutionMultiple-choiceNatural Language InferenceNatural Language Understanding+3Mention Annotations Alone Enable Efficient Domain Adaptation for Coreference Resolution
Although recent neural models for coreference resolution have led to substantial improvements on benchmark datasets, transferring these models to new target domains containing out-of-vocabulary spans and requiring differ…
coreference-resolutionCoreference ResolutionDomain AdaptationezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution
Large-scale, high-quality corpora are critical for advancing research in coreference resolution. However, existing datasets vary in their definition of coreferences and have been collected via complex and lengthy guideli…
coreference-resolutionCoreference ResolutionLongtonotes: OntoNotes with Longer Coreference Chains
Ontonotes has served as the most important benchmark for coreference resolution. However, for ease of annotation, several long documents in Ontonotes were split into smaller parts. In this work, we build a corpus of core…
coreference-resolutionCoreference ResolutionGuess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
Meta-training, which fine-tunes the language model (LM) on various downstream tasks by maximizing the likelihood of the target label given the task instruction and input instance, has improved the zero-shot task generali…
Common Sense ReasoningCoreference ResolutionLanguage ModelingLanguage Modelling+5Ask Me Anything: A simple strategy for prompting language models
Large language models (LLMs) transfer well to new tasks out-of-the-box simply given a natural language prompt that demonstrates how to perform the task and no additional training. Prompting is a brittle process wherein s…
Coreference ResolutionNatural Language InferencePrompt EngineeringQuestion AnsweringMachine Reading, Fast and Slow: When Do Models “Understand” Language?
Two of the most fundamental issues in Natural Language Understanding (NLU) at present are: (a) how it can established whether deep learning-based models score highly on NLU benchmarks for the ”right” reasons; and (b) wha…
coreference-resolutionCoreference ResolutioncounterfactualNatural Language Understanding+1GRAVL-BERT: Graphical Visual-Linguistic Representations for Multimodal Coreference Resolution
Learning from multimodal data has become a popular research topic in recent years. Multimodal coreference resolution (MCR) is an important task in this area. MCR involves resolving the references across different modalit…
coreference-resolutionCoreference ResolutionVisual GroundingEnd-to-End Neural Bridging Resolution
The state of bridging resolution research is rather unsatisfactory: not only are state-of-the-art resolvers evaluated in unrealistic settings, but the neural models underlying these resolvers are weaker than those used f…
coreference-resolutionCoreference ResolutionPipeline Coreference Resolution Model for Anaphoric Identity in Dialogues
CODI-CRAC 2022 Shared Task in Dialogues consists of three sub-tasks: Sub-task 1 is the resolution of anaphoric identity, sub-task 2 is the resolution of bridging references, and sub-task 3 is the resolution of discourse …
coreference-resolutionCoreference ResolutionTask 2Online Neural Coreference Resolution with Rollback
Humans process natural language online, whether reading a document or participating in multiparty dialogue. Recent advances in neural coreference resolution have focused on offline approaches that assume the full communi…
coreference-resolutionCoreference ResolutionDialogue UnderstandingEvaluating Coreference Resolvers on Community-based Question Answering: From Rule-based to State of the Art
Coreference resolution is a key step in natural language understanding. Developments in coreference resolution are mainly focused on improving the performance on standard datasets annotated for coreference resolution. Ho…
Answer Selectioncoreference-resolutionCoreference ResolutionNatural Language Understanding+1