Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Mod\`ele neuronal pour la r\'esolution de la cor\'ef\'erence dans les dossiers m\'edicaux \'electroniques (Neural approach for coreference resolution in electronic health records )
La r{\'e}solution de la cor{\'e}f{\'e}rence est un {\'e}l{\'e}ment essentiel pour la constitution automatique de chronologies m{\'e}dicales {\`a} partir des dossiers m{\'e}dicaux {\'e}lectroniques. Dans ce travail, nous …
coreference-resolutionCoreference ResolutionComment arpenter sans m\`etre : les scores de r\'esolution de cha\^\ines de cor\'ef\'erences sont-ils des m\'etriques ? (Do the standard scores of evaluation of coreference resolution constitute metrics ?)
Cet article pr{\'e}sente un travail qui consiste {\`a} {\'e}tudier si les scores les plus utilis{\'e}s pour l{'}{\'e}valuation de la r{\'e}solution des cor{\'e}f{\'e}rences constituent des m{\'e}triques de similarit{\'e}…
coreference-resolutionCoreference Resolutiones-enLanguage Models are Few-Shot Learners
Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-training on a large corpus of text followed by fine-tuning on a specific task. While typically task-agnostic in architecture, this me…
answerability predictionArticlesCommon Sense ReasoningCoreference Resolution+14Refining Implicit Argument Annotation for UCCA
Predicate-argument structure analysis is a central component in meaning representations of text. The fact that some arguments are not explicitly mentioned in a sentence gives rise to ambiguity in language understanding, …
Coreference ResolutionNatural Language UnderstandingQuestion AnsweringSentenceTowards classification parity across cohorts
Recently, there has been a lot of interest in ensuring algorithmic fairness in machine learning where the central question is how to prevent sensitive information (e.g. knowledge about the ethnic group of an individual) …
ClassificationClusteringcoreference-resolutionCoreference Resolution+5Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models
Recent Transformer-based large-scale pre-trained models have revolutionized vision-and-language (V+L) research. Models such as ViLBERT, LXMERT and UNITER have significantly lifted state of the art across a wide range of …
coreference-resolutionCoreference Resolutioncross-modal alignmentPeTra: A Sparsely Supervised Memory Model for People Tracking
We propose PeTra, a memory-augmented neural network designed to track entities in its memory slots. PeTra is trained using sparse annotation from the GAP pronoun resolution dataset and outperforms a prior memory model on…
Coreference ResolutionDiagnosticSeeing the Forest and the Trees: Detection and Cross-Document Coreference Resolution of Militarized Interstate Disputes
Previous efforts to automate the detection of social and political events in text have primarily focused on identifying events described within single sentences or documents. Within a corpus of documents, these automated…
coreference-resolutionCoreference ResolutionCross Document Coreference ResolutionEvent Coreference ResolutionIntermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
While pretrained models such as BERT have shown large gains across natural language understanding tasks, their performance can be improved by further training the model on a data-rich intermediate task, before fine-tunin…
coreference-resolutionCoreference ResolutionNatural Language UnderstandingTransfer LearningSeeing the Forest and the Trees: Detection and Cross-Document Coreference Resolution of Militarized Interstate Disputes
Previous efforts to automate the detection of social and political events in text have primarily focused on identifying events described within single sentences or documents. Within a corpus of documents, these automated…
coreference-resolutionCoreference ResolutionCross Document Coreference ResolutionEvent Coreference ResolutionCoreference-Based Text Simplification
Text simplification aims at adapting documents to make them easier to read by a given audience. Usually, simplification systems consider only lexical and syntactic levels, and, moreover, are often evaluated at the senten…
coreference-resolutionCoreference ResolutionSentenceText SimplificationOn the Influence of Coreference Resolution on Word Embeddings in Lexical-semantic Evaluation Tasks
Coreference resolution (CR) aims to find all spans of a text that refer to the same entity. The F1-Scores on these task have been greatly improved by new developed End2End-approaches and transformer networks. The inclusi…
coreference-resolutionCoreference ResolutionWord EmbeddingsGerDraCor-Coref: A Coreference Corpus for Dramatic Texts in German
Dramatic texts are a highly structured literary text type. Their quantitative analysis so far has relied on analysing structural properties (e.g., in the form of networks). Resolving coreferences is crucial for an analys…
coreference-resolutionCoreference ResolutionFrench Coreference for Spoken and Written Language
Coreference resolution aims at identifying and grouping all mentions referring to the same entity. In French, most systems run different setups, making their comparison difficult. In this paper, we present an extensive c…
coreference-resolutionCoreference ResolutionMuDoCo: Corpus for Multidomain Coreference Resolution and Referring Expression Generation
This paper proposes a new dataset, MuDoCo, composed of authored dialogs between a fictional user and a system who are given tasks to perform within six task domains. These dialogs are given rich linguistic annotations by…
coreference-resolutionCoreference ResolutionReferring ExpressionReferring expression generationEffective Crowdsourcing of Multiple Tasks for Comprehensive Knowledge Extraction
Information extraction from unstructured texts plays a vital role in the field of natural language processing. Although there has been extensive research into each information extraction task (i.e., entity linking, coref…
coreference-resolutionCoreference ResolutionEntity LinkingRelation ExtractionSimplifying Coreference Chains for Dyslexic Children
We present a work aiming to generate adapted content for dyslexic children for French, in the context of the ALECTOR project. Thus, we developed a system to transform the texts at the discourse level. This system modifie…
coreference-resolutionCoreference ResolutionChat or Learn: a Data-Driven Robust Question-Answering System
We present a voice-based conversational agent which combines the robustness of chatbots and the utility of question answering (QA) systems. Indeed, while data-driven chatbots are typically user-friendly but not goal-orie…
ArticlesChatbotcoreference-resolutionCoreference Resolution+2Paraphrasing vs Coreferring: Two Sides of the Same Coin
We study the potential synergy between two different NLP tasks, both confronting predicate lexical variability: identifying predicate paraphrases, and event coreference resolution. First, we used annotations from an even…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionEvent Cross-Document Coreference Resolution+2Incremental Neural Coreference Resolution in Constant Memory
We investigate modeling coreference resolution under a fixed memory constraint by extending an incremental clustering algorithm to utilize contextualized encoders and neural components. Given a new sentence, our end-to-e…
Clusteringcoreference-resolutionCoreference ResolutionSentence