Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
Several popular Transformer based language models have been found to be successful for text-driven brain encoding. However, existing literature leverages only pretrained text Transformer models and has not explored the e…
coreference-resolutionCoreference ResolutionNatural Language InferenceNER+2A Methodology for the Comparison of Human Judgments With Metrics for Coreference Resolution
We propose a method for investigating the interpretability of metrics used for the coreference resolution task through comparisons with human judgments. We provide a corpus with annotations of different error types and h…
coreference-resolutionCoreference ResolutionGraph-combined Coreference Resolution Methods on Conversational Machine Reading Comprehension with Pre-trained Language Model
Coreference resolution such as for anaphora has been an essential challenge that is commonly found in conversational machine reading comprehension (CMRC). This task aims to determine the referential entity to which a pro…
coreference-resolutionCoreference ResolutionGraph Neural NetworkLanguage Modeling+3Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution
Coreference resolution over semantic graphs like AMRs aims to group the graph nodes that represent the same entity. This is a crucial step for making document-level formal semantic representations. With annotated data on…
coreference-resolutionCoreference ResolutionDialogue Meaning Representation for Task-Oriented Dialogue Systems
Dialogue meaning representation formulates natural language utterance semantics in their conversational context in an explicit and machine-readable form. Previous work typically follows the intent-slot framework, which i…
coreference-resolutionCoreference ResolutionNegationTask-Oriented Dialogue SystemsPaLM: Scaling Language Modeling with Pathways
Large language models have been shown to achieve remarkable performance across a variety of natural language tasks using few-shot learning, which drastically reduces the number of task-specific training examples needed t…
Auto DebuggingCode GenerationCommon Sense ReasoningCoreference Resolution+19A sequence-to-sequence approach for document-level relation extraction
Motivated by the fact that many relations cross the sentence boundary, there has been increasing interest in document-level relation extraction (DocRE). DocRE requires integrating information within and across sentences,…
coreference-resolutionCoreference ResolutionDocument-level Relation ExtractionJoint Entity and Relation Extraction+3Graph Refinement for Coreference Resolution
The state-of-the-art models for coreference resolution are based on independent mention pair-wise decisions. We propose a modelling approach that learns coreference at the document-level and takes global decisions. For t…
coreference-resolutionCoreference ResolutionEvent Coreference Resolution for Contentious Politics Events
We propose a dataset for event coreference resolution, which is based on random samples drawn from multiple sources, languages, and countries. Early scholarship on event information collection has not quantified the cont…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionExploring Multi-Modal Representations for Ambiguity Detection & Coreference Resolution in the SIMMC 2.0 Challenge
Anaphoric expressions, such as pronouns and referential descriptions, are situated with respect to the linguistic context of prior turns, as well as, the immediate visual environment. However, a speaker's referential des…
coreference-resolutionCoreference ResolutionIncorporating Constituent Syntax for Coreference Resolution
Syntax has been shown to benefit Coreference Resolution from incorporating long-range dependencies and structured information captured by syntax trees, either in traditional statistical machine learning based systems or …
coreference-resolutionCoreference ResolutionCorefDRE: Document-level Relation Extraction with coreference resolution
Document-level relation extraction is to extract relation facts from a document consisting of multiple sentences, in which pronoun crossed sentences are a ubiquitous phenomenon against a single sentence. However, most of…
coreference-resolutionCoreference ResolutionDocument-level Relation ExtractionRelation+2ST-MoE: Designing Stable and Transferable Sparse Expert Models
Scale has opened new frontiers in natural language processing -- but at a high cost. In response, Mixture-of-Experts (MoE) and Switch Transformers have been proposed as an energy efficient path to even larger and more ca…
ARCCommon Sense ReasoningCoreference ResolutionDecoder+8A Unified Approach to Entity-Centric Context Tracking in Social Conversations
In human-human conversations, Context Tracking deals with identifying important entities and keeping track of their properties and relationships. This is a challenging problem that encompasses several subtasks such as sl…
coreference-resolutionCoreference ResolutionEntity LinkingCross-document Misinformation Detection based on Event Graph Reasoning
For emerging events, human readers are often exposed to both real news and fake news. Multiple news articles may contain complementary or contradictory information that readers can leverage to help detect fake news. Insp…
Articlescoreference-resolutionCoreference ResolutionEvent Coreference Resolution+2ezCoref: A Scalable Approach for Collecting Crowdsourced Annotations for Coreference Resolution
Large-scale high-quality corpora are critical for advancing research in coreference resolution. Coreference annotation is typically time consuming and expensive, since researchers generally hire expert annotators and tra…
coreference-resolutionCoreference ResolutionLearning to Embed Multi-Modal Contexts for Situated Conversational Agents
The Situated Interactive Multi-Modal Conversations (SIMMC) 2.0 aims to create virtual shopping assistants that can accept complex multi-modal inputs, i.e. visual appearances of objects and user utterances. It consists of…
coreference-resolutionCoreference ResolutionDecoderdialog state tracking+2Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes
Current work on automatic coreference resolution has focused on the OntoNotes benchmark dataset, due to both its size and consistency. However many aspects of the OntoNotes annotation scheme are not well understood by NL…
coreference-resolutionCoreference ResolutionDocAMR: Multi-Sentence AMR Representation and Evaluation
Despite extensive research on parsing of English sentences into Abstraction Meaning Representation (AMR) graphs, which are compared to gold graphs via the Smatch metric, full-document parsing into a unified graph represe…
coreference-resolutionCoreference ResolutionSentenceUNITER-Based Situated Coreference Resolution with Rich Multimodal Input
We present our work on the multimodal coreference resolution task of the Situated and Interactive Multimodal Conversation 2.0 (SIMMC 2.0) dataset as a part of the tenth Dialog System Technology Challenge (DSTC10). We pro…
coreference-resolutionCoreference ResolutionObjectVisual Dialog