Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Towards Harmful Erotic Content Detection through Coreference-Driven Contextual Analysis
Adult content detection still poses a great challenge for automation. Existing classifiers primarily focus on distinguishing between erotic and non-erotic texts. However, they often need more nuance in assessing the pote…
coreference-resolutionCoreference ResolutionSemi-supervised multimodal coreference resolution in image narrations
In this paper, we study multimodal coreference resolution, specifically where a longer descriptive text, i.e., a narration is paired with an image. This poses significant challenges due to fine-grained image-text alignme…
coreference-resolutionCoreference ResolutionDescriptiveSeq2seq is All You Need for Coreference Resolution
Existing works on coreference resolution suggest that task-specific models are necessary to achieve state-of-the-art performance. In this work, we present compelling evidence that such models are not necessary. We finetu…
Allcoreference-resolutionCoreference ResolutionFilling in the Gaps: Efficient Event Coreference Resolution using Graph Autoencoder Networks
We introduce a novel and efficient method for Event Coreference Resolution (ECR) applied to a lower-resourced language domain. By framing ECR as a graph reconstruction task, we are able to combine deep semantic embedding…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionGraph ReconstructionCAW-coref: Conjunction-Aware Word-level Coreference Resolution
State-of-the-art coreference resolutions systems depend on multiple LLM calls per document and are thus prohibitively expensive for many use cases (e.g., information extraction with large corpora). The leading word-level…
coreference-resolutionCoreference ResolutionA Survey of Document-Level Information Extraction
Document-level information extraction (IE) is a crucial task in natural language processing (NLP). This paper conducts a systematic review of recent document-level IE literature. In addition, we conduct a thorough error …
coreference-resolutionCoreference ResolutionSurveyIncorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better Generalization
Previous attempts to incorporate a mention detection step into end-to-end neural coreference resolution for English have been hampered by the lack of singleton mention span data as well as other entity information. This …
coreference-resolutionCoreference ResolutionMulti-Task LearningAn Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing
Large language models (LLMs) have shown remarkable capabilities in Natural Language Processing (NLP), especially in domains where labeled data is scarce or expensive, such as clinical domain. However, to unlock the clini…
AttributeAttribute ExtractionClinical Knowledgecoreference-resolution+3Collecting Visually-Grounded Dialogue with A Game Of Sorts
An idealized, though simplistic, view of the referring expression production and grounding process in (situated) dialogue assumes that a speaker must merely appropriately specify their expression so that the target refer…
Coreference ResolutionImage RetrievalReferring ExpressionReferring Expression Comprehension+4RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution
Although syntactic information is beneficial for many NLP tasks, combining it with contextual information between words to solve the coreference resolution problem needs to be further explored. In this paper, we propose …
coreference-resolutionCoreference ResolutionGraph AttentionGender-specific Machine Translation with Large Language Models
While machine translation (MT) systems have seen significant improvements, it is still common for translations to reflect societal biases, such as gender bias. Decoder-only Large Language Models (LLMs) have demonstrated …
coreference-resolutionCoreference ResolutionDecoderIn-Context Learning+3Generalised Winograd Schema and its Contextuality
Ambiguities in natural language give rise to probability distributions over interpretations. The distributions are often over multiple ambiguous words at a time; a multiplicity which makes them a suitable topic for sheaf…
coreference-resolutionCoreference ResolutionMultiple-choicePronounFlow: A Hybrid Approach for Calibrating Pronouns in Sentences
Flip through any book or listen to any song lyrics, and you will come across pronouns that, in certain cases, can hinder meaning comprehension, especially for machines. As the role of having cognitive machines becomes pe…
coreference-resolutionCoreference ResolutionSentenceDialogRE^C+: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs
Dialogue relation extraction (DRE) that identifies the relations between argument pairs in dialogue text, suffers much from the frequent occurrence of personal pronouns, or entity and speaker coreference. This work intro…
coreference-resolutionCoreference ResolutionRelation ExtractionAthena 2.0: Discourse and User Modeling in Open Domain Dialogue
Conversational agents are consistently growing in popularity and many people interact with them every day. While many conversational agents act as personal assistants, they can have many different goals. Some are task-or…
coreference-resolutionCoreference Resolutionnamed-entity-recognitionNamed Entity RecognitionSimilarity-based Memory Enhanced Joint Entity and Relation Extraction
Document-level joint entity and relation extraction is a challenging information extraction problem that requires a unified approach where a single neural network performs four sub-tasks: mention detection, coreference r…
coreference-resolutionCoreference ResolutionJoint Entity and Relation ExtractionMulti-Task Learning+2Better Handling Coreference Resolution in Aspect Level Sentiment Classification by Fine-Tuning Language Models
Customer feedback is invaluable to companies as they refine their products. Monitoring customer feedback can be automated with Aspect Level Sentiment Classification (ALSC) which allows us to analyse specific aspects of t…
coreference-resolutionCoreference ResolutionSentiment AnalysisSentiment ClassificationSimpleMTOD: A Simple Language Model for Multimodal Task-Oriented Dialogue with Symbolic Scene Representation
SimpleMTOD is a simple language model which recasts several sub-tasks in multimodal task-oriented dialogues as sequence prediction tasks. SimpleMTOD is built on a large-scale transformer-based auto-regressive architectur…
coreference-resolutionCoreference Resolutiondialog state trackingLanguage Modeling+3Improving Automatic Quotation Attribution in Literary Novels
Current models for quotation attribution in literary novels assume varying levels of available information in their training and test data, which poses a challenge for in-the-wild inference. Here, we approach quotation a…
coreference-resolutionCoreference Resolution2∗n is better than n^2: Decomposing Event Coreference Resolution into Two Tractable Problems
Event Coreference Resolution (ECR) is the task of linking mentions of the same event either within or across documents. Most mention pairs are not coreferent, yet many that are coreferent can be identified through simple…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionLEMMA