Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Coreference Resolution without Span Representations
The introduction of pretrained language models has reduced many complex task-specific NLP models to simple lightweight layers. An exception to this trend is coreference resolution, where a sophisticated task-specific mod…
coreference-resolutionCoreference ResolutionCDLM: Cross-Document Language Modeling
We introduce a new pretraining approach geared for multi-document language modeling, incorporating two key ideas into the masked language modeling self-supervised objective. First, instead of considering documents in iso…
Citation RecommendationCoreference ResolutionCross-Document Language ModelingEntity Cross-Document Coreference Resolution+6Coreference Reasoning in Machine Reading Comprehension
Coreference resolution is essential for natural language understanding and has been long studied in NLP. In recent years, as the format of Question Answering (QA) became a standard for machine reading comprehension (MRC)…
coreference-resolutionCoreference ResolutionMachine Reading ComprehensionNatural Language Understanding+2Aspect Extraction Using Coreference Resolution and Unsupervised Filtering
Aspect extraction is a widely researched field of natural language processing in which aspects are identified from the text as a means for information. For example, in aspect-based sentiment analysis (ABSA), aspects need…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect Extractioncoreference-resolution+2Event Coreference Resolution with Non-Local Information
We present two extensions to a state-of-theart joint model for event coreference resolution, which involve incorporating (1) a supervised topic model for improving trigger detection by providing global context, and (2) a…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionBERT-based Cohesion Analysis of Japanese Texts
The meaning of natural language text is supported by cohesion among various kinds of entities, including coreference relations, predicate-argument structures, and bridging anaphora relations. However, predicate-argument …
coreference-resolutionCoreference ResolutionEvent Coreference Resolution with their Paraphrases and Argument-aware Embeddings
Event coreference resolution aims to classify all event mentions that refer to the same real-world event into the same group, which is necessary to information aggregation and many downstream applications. To resolve eve…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionMultitask Learning-Based Neural Bridging Reference Resolution
We propose a multi task learning-based neural model for resolving bridging references tackling two key challenges. The first challenge is the lack of large corpora annotated with bridging references. To address this, we …
coreference-resolutionCoreference ResolutionMulti-Task LearningBridging Resolution: A Survey of the State of the Art
Bridging reference resolution is an anaphora resolution task that is arguably more challenging and less studied than entity coreference resolution. Given that significant progress has been made on coreference resolution …
coreference-resolutionCoreference ResolutionSurveyA Neural Model for Aggregating Coreference Annotation in Crowdsourcing
Coreference resolution is the task of identifying all mentions in a text that refer to the same real-world entity. Collecting sufficient labelled data from expert annotators to train a high-performance coreference resolu…
coreference-resolutionCoreference ResolutionVariation in Coreference Strategies across Genres and Production Media
In response to (i) inconclusive results in the literature as to the properties of coreference chains in written versus spoken language, and (ii) a general lack of work on automatic coreference resolution on both spoken l…
coreference-resolutionCoreference ResolutionCreation of Corpus and Analysis in Code-Mixed Kannada-English Social Media Data for POS Tagging
Part-of-Speech (POS) is one of the essential tasks for many Natural Language Processing (NLP) applications. There has been a significant amount of work done in POS tagging for resource-rich languages. POS tagging is an e…
coreference-resolutionCoreference Resolutionnamed-entity-recognitionNamed Entity Recognition+5D-Coref: A Fast and Lightweight Coreference Resolution Model using DistilBERT
Smart devices are often deployed in some edge-devices, which require quality solutions in limited amount of memory usage. In most of the user-interaction based smart devices, coreference resolution is often required. Kee…
coreference-resolutionCoreference ResolutionIt’s absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution?
While it has been claimed that anaphora or coreference resolution plays an important role in opinion mining, it is not clear to what extent coreference resolution actually boosts performance, if at all. In this paper, we…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)coreference-resolutionCoreference Resolution+2Predicting Coreference in Abstract Meaning Representations
This work addresses coreference resolution in Abstract Meaning Representation (AMR) graphs, a popular formalism for semantic parsing. We evaluate several current coreference resolution techniques on a recently published …
Abstract Meaning Representationcoreference-resolutionCoreference ResolutionSemantic ParsingSequence to Sequence Coreference Resolution
Until recently, coreference resolution has been a critical task on the pipeline of any NLP task involving deep language understanding, such as machine translation, chatbots, summarization or sentiment analysis. However, …
coreference-resolutionCoreference ResolutionMachine TranslationSentiment Analysis+1Enhanced Labelling in Active Learning for Coreference Resolution
In this paper we describe our attempt to increase the amount of information that can be retrieved through active learning sessions compared to previous approaches. We optimise the annotator’s labelling process using acti…
Active Learningcoreference-resolutionCoreference ResolutionGeneralizing Cross-Document Event Coreference Resolution Across Multiple Corpora
Cross-document event coreference resolution (CDCR) is an NLP task in which mentions of events need to be identified and clustered throughout a collection of documents. CDCR aims to benefit downstream multi-document appli…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionThe Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets
Diagnostic datasets that can detect biased models are an important prerequisite for bias reduction within natural language processing. However, undesired patterns in the collected data can make such tests incorrect. For …
coreference-resolutionCoreference ResolutionDiagnosticA Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News
We evaluate a rule-based (Lee et al., 2013) and neural (Lee et al., 2018) coreference system on Dutch datasets of two domains: literary novels and news/Wikipedia text. The results provide insight into the relative streng…
coreference-resolutionCoreference Resolution