Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Variational Quantum Classifiers for Natural-Language Text
As part of the recent research effort on quantum natural language processing (QNLP), variational quantum sentence classifiers (VQSCs) have been implemented and supported in lambeq / DisCoPy, based on the DisCoCat model o…
coreference-resolutionCoreference ResolutionSentenceSentiment Analysis+1What 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 lexically or contextually similar mentions. How…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionSentenceEvaluating and Improving the Coreference Capabilities of Machine Translation Models
Machine translation (MT) requires a wide range of linguistic capabilities, which current end-to-end models are expected to learn implicitly by observing aligned sentences in bilingual corpora. In this work, we ask: \emph…
coreference-resolutionCoreference ResolutionMachine TranslationTranslationCounter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns
Bias-measuring datasets play a critical role in detecting biased behavior of language models and in evaluating progress of bias mitigation methods. In this work, we focus on evaluating gender bias through coreference res…
coreference-resolutionCoreference ResolutioncounterfactualData AugmentationExploring the Benefits of Training Expert Language Models over Instruction Tuning
Recently, Language Models (LMs) instruction-tuned on multiple tasks, also known as multitask-prompted fine-tuning (MT), have shown the capability to generalize to unseen tasks. Previous work has shown that scaling the nu…
Common Sense ReasoningCoreference ResolutionNatural Language InferenceQuestion Answering+2A Case Study for Compliance as Code with Graphs and Language Models: Public release of the Regulatory Knowledge Graph
The paper presents a study on using language models to automate the construction of executable Knowledge Graph (KG) for compliance. The paper focuses on Abu Dhabi Global Market regulations and taxonomy, involves manual t…
coreference-resolutionCoreference ResolutionAmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference
Given a sentence "Abby told Brittney that she upset Courtney", one would struggle to understand who "she" refers to, and ask for clarification. However, if the word "upset" were replaced with "hugged", "she" unambiguousl…
coreference-resolutionCoreference ResolutionDiagnosticSensitivity+1SMDDH: Singleton Mention detection using Deep Learning in Hindi Text
Mention detection is an important component of coreference resolution system, where mentions such as name, nominal, and pronominals are identified. These mentions can be purely coreferential mentions or singleton mention…
coreference-resolutionCoreference ResolutionDeep LearningEnsemble Transfer Learning for Multilingual Coreference Resolution
Entity coreference resolution is an important research problem with many applications, including information extraction and question answering. Coreference resolution for English has been studied extensively. However, th…
coreference-resolutionCoreference ResolutionQuestion AnsweringTransfer LearningHungry Hungry Hippos: Towards Language Modeling with State Space Models
State space models (SSMs) have demonstrated state-of-the-art sequence modeling performance in some modalities, but underperform attention in language modeling. Moreover, despite scaling nearly linearly in sequence length…
8kCoreference ResolutionFew-Shot LearningLanguage Modeling+6Hybrid Rule-Neural Coreference Resolution System based on Actor-Critic Learning
A coreference resolution system is to cluster all mentions that refer to the same entity in a given context. All coreference resolution systems need to tackle two main tasks: one task is to detect all of the potential me…
Allcoreference-resolutionCoreference ResolutionNeural Coreference Resolution based on Reinforcement Learning
The target of a coreference resolution system is to cluster all mentions that refer to the same entity in a given context. All coreference resolution systems need to solve two subtasks; one task is to detect all of the p…
AllClusteringcoreference-resolutionCoreference Resolution+4The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems
Many state-of-the-art natural language understanding (NLU) models are based on pretrained neural language models. These models often make inferences using information from multiple sources. An important class of such inf…
coreference-resolutionCoreference ResolutionNatural Language UnderstandingQuotations, Coreference Resolution, and Sentiment Annotations in Croatian News Articles: An Exploratory Study
This paper presents a corpus annotated for the task of direct-speech extraction in Croatian. The paper focuses on the annotation of the quotation, co-reference resolution, and sentiment annotation in SETimes news corpus …
Articlescoreference-resolutionCoreference ResolutionSpeech ExtractionToward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE
This technical report briefly describes our JDExplore d-team's Vega v2 submission on the SuperGLUE leaderboard. SuperGLUE is more challenging than the widely used general language understanding evaluation (GLUE) benchmar…
Common Sense Reasoningcoreference-resolutionCoreference ResolutionLanguage Modeling+5Who are you referring to? Coreference resolution in image narrations
Coreference resolution aims to identify words and phrases which refer to same entity in a text, a core task in natural language processing. In this paper, we extend this task to resolving coreferences in long-form narrat…
coreference-resolutionCoreference ResolutionCoreference Resolution through a seq2seq Transition-Based System
Most recent coreference resolution systems use search algorithms over possible spans to identify mentions and resolve coreference. We instead present a coreference resolution system that uses a text-to-text (seq2seq) par…
coreference-resolutionCoreference ResolutionLanguage ModelingLanguage ModellingmOKB6: A Multilingual Open Knowledge Base Completion Benchmark
Automated completion of open knowledge bases (Open KBs), which are constructed from triples of the form (subject phrase, relation phrase, object phrase), obtained via open information extraction (Open IE) system, are use…
coreference-resolutionCoreference ResolutionKnowledge Base CompletionOpen Information ExtractionA hybrid entity-centric approach to Persian pronoun resolution
Pronoun resolution is a challenging subset of an essential field in natural language processing called coreference resolution. Coreference resolution is about finding all entities in the text that refers to the same real…
coreference-resolutionCoreference ResolutionReview of coreference resolution in English and Persian
Coreference resolution (CR), identifying expressions referring to the same real-world entity, is a fundamental challenge in natural language processing (NLP). This paper explores the latest advancements in CR, spanning c…
coreference-resolutionCoreference ResolutionDocument SummarizationGraph Neural Network+2