Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
A Neural Entity Coreference Resolution Review
Entity Coreference Resolution is the task of resolving all mentions in a document that refer to the same real world entity and is considered as one of the most difficult tasks in natural language understanding. It is of …
coreference-resolutionCoreference ResolutionEntity LinkingMachine Translation+2BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels
This paper presents BiPaR, a bilingual parallel novel-style machine reading comprehension (MRC) dataset, developed to support multilingual and cross-lingual reading comprehension. The biggest difference between BiPaR and…
coreference-resolutionCoreference ResolutionMachine Reading ComprehensionReading Comprehension+1Multi-hop Question Answering via Reasoning Chains
Multi-hop question answering requires models to gather information from different parts of a text to answer a question. Most current approaches learn to address this task in an end-to-end way with neural networks, withou…
Coreference ResolutionMulti-hop Question AnsweringNamed Entity RecognitionNamed Entity Recognition (NER)+2Type-aware Convolutional Neural Networks for Slot Filling
The slot filling task aims at extracting answers for queries about entities from text, such as "Who founded Apple". In this paper, we focus on the relation classification component of a slot filling system. We propose ty…
coreference-resolutionCoreference ResolutionGeneral ClassificationRelation+5Context-aware Attention Model for Coreference Resolution
Coreference resolution is an important task for gaining more complete understanding about texts by artificial intelligence. The state-of-the-art end-to-end neural coreference model considers all spans in a document as po…
coreference-resolutionCoreference ResolutionmodelAll Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations
We describe and evaluate different approaches to the conversion of gold standard corpus data from Stanford Typed Dependencies (SD) and Penn-style constituent trees to the latest English Universal Dependencies representat…
Allcoreference-resolutionCoreference ResolutionNERWhat You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues
Grounding a pronoun to a visual object it refers to requires complex reasoning from various information sources, especially in conversational scenarios. For example, when people in a conversation talk about something all…
coreference-resolutionCoreference ResolutionNatural Language UnderstandingCross-Lingual Coreference: The Case of Bulgarian and English
The paper presents several common approaches towards cross- and multi-lingual coreference resolution in a search of the most effective practices to be applied within the work on Bulgarian-English manual coreference annot…
coreference-resolutionCoreference ResolutionEllipsis Resolution as Question Answering: An Evaluation
Most, if not all forms of ellipsis (e.g., so does Mary) are similar to reading comprehension questions (what does Mary do), in that in order to resolve them, we need to identify an appropriate text span in the preceding …
coreference-resolutionCoreference ResolutionMachine Reading ComprehensionQuestion Answering+1Partially-supervised Mention Detection
Learning to detect entity mentions without using syntactic information can be useful for integration and joint optimization with other tasks. However, it is common to have partially annotated data for this problem. Here,…
coreference-resolutionCoreference ResolutionBERT for Coreference Resolution: Baselines and Analysis
We apply BERT to coreference resolution, achieving strong improvements on the OntoNotes (+3.9 F1) and GAP (+11.5 F1) benchmarks. A qualitative analysis of model predictions indicates that, compared to ELMo and BERT-base,…
Coreference ResolutionWikiCREM: A Large Unsupervised Corpus for Coreference Resolution
Pronoun resolution is a major area of natural language understanding. However, large-scale training sets are still scarce, since manually labelling data is costly. In this work, we introduce WikiCREM (Wikipedia CoREferen…
coreference-resolutionCoreference ResolutionLanguage ModelingLanguage Modelling+2Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning
Machine comprehension of texts longer than a single sentence often requires coreference resolution. However, most current reading comprehension benchmarks do not contain complex coreferential phenomena and hence fail to …
coreference-resolutionCoreference ResolutionReading ComprehensionSentenceImproving Generalization in Coreference Resolution via Adversarial Training
In order for coreference resolution systems to be useful in practice, they must be able to generalize to new text. In this work, we demonstrate that the performance of the state-of-the-art system decreases when the names…
coreference-resolutionCoreference ResolutionFill the GAP: Exploiting BERT for Pronoun Resolution
In this paper, we describe our entry in the gendered pronoun resolution competition which achieved fourth place without data augmentation. Our method is an ensemble system of BERTs which resolves co-reference in an inter…
Coreference ResolutionData AugmentationNatural Language InferenceOn GAP Coreference Resolution Shared Task: Insights from the 3rd Place Solution
This paper presents the 3rd-place-winning solution to the GAP coreference resolution shared task. The approach adopted consists of two key components: fine-tuning the BERT language representation model (Devlin et al., 20…
coreference-resolutionCoreference ResolutionGendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling
This paper presents a strong set of results for resolving gendered ambiguous pronouns on the Gendered Ambiguous Pronouns shared task. The model presented here draws upon the strengths of state-of-the-art language and cor…
coreference-resolutionCoreference ResolutionEnd-to-End Neural Context Reconstruction in Chinese Dialogue
We tackle the problem of context reconstruction in Chinese dialogue, where the task is to replace pronouns, zero pronouns, and other referring expressions with their referent nouns so that sentences can be processed in i…
coreference-resolutionCoreference ResolutionPOSPosition+1Neural Mention Detection
Mention detection is an important preprocessing step for annotation and interpretation in applications such as NER and coreference resolution, but few stand-alone neural models have been proposed able to handle the full …
coreference-resolutionCoreference ResolutionNERA Hybrid Neural Network Model for Commonsense Reasoning
This paper proposes a hybrid neural network (HNN) model for commonsense reasoning. An HNN consists of two component models, a masked language model and a semantic similarity model, which share a BERT-based contextual enc…
Common Sense ReasoningCoreference ResolutionLanguage ModelingLanguage Modelling+6