Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Placing (Historical) Facts on a Timeline: A Classification cum Coref Resolution Approach
A timeline provides one of the most effective ways to visualize the important historical facts that occurred over a period of time, presenting the insights that may not be so apparent from reading the equivalent informat…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionSentence+1Personal Entity, Concept, and Named Entity Linking in Conversations
Building conversational agents that can have natural and knowledge-grounded interactions with humans requires understanding user utterances. Entity Linking (EL) is an effective and widely used method for understanding na…
coreference-resolutionCoreference ResolutionEntity LinkingÉvaluation comparative de systèmes neuronal et statistique pour la résolution de coréférence en langage parlé (Comparative evaluation of neural and statistical coreference resolution on spoken language )
Nous présentons OFCoRS, un système de résolution de coréférence, basé sur le français parlé et un ensemble de modèles Random Forest. L’objectif de ce papier est de comparer l’approche statistique d’OFCoRS avec l’approche…
coreference-resolutionCoreference ResolutionAspect-Based Emotion Analysis and Multimodal Coreference: A Case Study of Customer Comments on Adidas Instagram Posts
While aspect-based sentiment analysis of user-generated content has received a lot of attention in the past years, emotion detection at the aspect level has been relatively unexplored. Moreover, given the rise of more vi…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)coreference-resolutionCoreference Resolution+3ParCorFull2.0: a Parallel Corpus Annotated with Full Coreference
In this paper, we describe ParCorFull2.0, a parallel corpus annotated with full coreference chains for multiple languages, which is an extension of the existing corpus ParCorFull (Lapshinova-Koltunski et al., 2018). Simi…
coreference-resolutionCoreference ResolutionMachine TranslationTranslationOpenEL: An Annotated Corpus for Entity Linking and Discourse in Open Domain Dialogue
Entity linking in dialogue is the task of mapping entity mentions in utterances to a target knowledge base. Prior work on entity linking has mainly focused on well-written articles such as Wikipedia, annotated newswire, …
Articlescoreference-resolutionCoreference ResolutionEntity LinkingA Cross-document Coreference Dataset for Longitudinal Tracking across Radiology Reports
This paper proposes a new cross-document coreference resolution (CDCR) dataset for identifying co-referring radiological findings and medical devices across a patient’s radiology reports. Our annotated corpus contains 58…
coreference-resolutionCoreference ResolutionCross Document Coreference ResolutionCorefUD 1.0: Coreference Meets Universal Dependencies
Recent advances in standardization for annotated language resources have led to successful large scale efforts, such as the Universal Dependencies (UD) project for multilingual syntactically annotated data. By comparison…
coreference-resolutionCoreference Resolutionnamed-entity-recognitionNamed Entity Recognition+1PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English
Pronoun Coreference Resolution (PCR) is the task of resolving pronominal expressions to all mentions they refer to. The correct resolution of pronouns typically involves the complex inference over both linguistic knowled…
coreference-resolutionCoreference ResolutionWorld KnowledgeTowards Coreference Resolution for Early Irish
In this article, we present an outline of some of the issues involved in developing a semi-supervised procedure for coreference resolution for early Irish as part of a wider enterprise to create a parsed corpus of histor…
coreference-resolutionCoreference ResolutionVD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution
The visual dialog task requires an AI agent to interact with humans in multi-round dialogs based on a visual environment. As a common linguistic phenomenon, pronouns are often used in dialogs to improve the communication…
AI Agentcoreference-resolutionCoreference ResolutionVisual DialogLarge Language Models are Few-Shot Clinical Information Extractors
A long-running goal of the clinical NLP community is the extraction of important variables trapped in clinical notes. However, roadblocks have included dataset shift from the general domain and a lack of public clinical …
Benchmarkingcoreference-resolutionCoreference ResolutionLanguage Modelling+3LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution
While coreference resolution typically involves various linguistic challenges, recent models are based on a single pairwise scorer for all types of pairs. We present LingMess, a new coreference model that defines differe…
coreference-resolutionCoreference ResolutionContrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities
Identifying related entities and events within and across documents is fundamental to natural language understanding. We present an approach to entity and event coreference resolution utilizing contrastive representation…
Binary ClassificationContrastive Learningcoreference-resolutionCoreference Resolution+4DeepStruct: Pretraining of Language Models for Structure Prediction
We introduce a method for improving the structural understanding abilities of language models. Unlike previous approaches that finetune the models with task-specific augmentation, we pretrain language models on a collect…
coreference-resolutionCoreference ResolutionDialogue State TrackingEvent Extraction+14Online Coreference Resolution for Dialogue Processing: Improving Mention-Linking on Real-Time Conversations
This paper suggests a direction of coreference resolution for online decoding on actively generated input such as dialogue, where the model accepts an utterance and its past context, then finds mentions in the current ut…
coreference-resolutionCoreference ResolutionWhat GPT Knows About Who is Who
Coreference resolution -- which is a crucial task for understanding discourse and language at large -- has yet to witness widespread benefits from large language models (LLMs). Moreover, coreference resolution systems la…
coreference-resolutionCoreference ResolutionPrompt EngineeringvalidUL2: Unifying Language Learning Paradigms
Existing pre-trained models are generally geared towards a particular class of problems. To date, there seems to be still no consensus on what the right architecture and pre-training setup should be. This paper presents …
Arithmetic ReasoningCommon Sense ReasoningCoreference ResolutionIn-Context Learning+10A Structured Span Selector
Many natural language processing tasks, e.g., coreference resolution and semantic role labeling, require selecting text spans and making decisions about them. A typical approach to such tasks is to score all possible spa…
coreference-resolutionCoreference ResolutionInductive BiasSemantic Role LabelingModeling Task Interactions in Document-Level Joint Entity and Relation Extraction
We target on the document-level relation extraction in an end-to-end setting, where the model needs to jointly perform mention extraction, coreference resolution (COREF) and relation extraction (RE) at once, and gets eva…
coreference-resolutionCoreference ResolutionDocument-level Relation ExtractionJoint Entity and Relation Extraction+2