Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
How Good is the Model in Model-in-the-loop Event Coreference Resolution Annotation?
Annotating cross-document event coreference links is a time-consuming and cognitively demanding task that can compromise annotation quality and efficiency. To address this, we propose a model-in-the-loop annotation appro…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionmodelGENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
We present GENTLE, a new mixed-genre English challenge corpus totaling 17K tokens and consisting of 8 unusual text types for out-of domain evaluation: dictionary entries, esports commentaries, legal documents, medical no…
coreference-resolutionCoreference ResolutionDependency ParsingDiscourse Parsing+1Light Coreference Resolution for Russian with Hierarchical Discourse Features
Coreference resolution is the task of identifying and grouping mentions referring to the same real-world entity. Previous neural models have mainly focused on learning span representations and pairwise scores for corefer…
coreference-resolutionCoreference ResolutionLanguage ModelingLanguage ModellingExamining risks of racial biases in NLP tools for child protective services
Although much literature has established the presence of demographic bias in natural language processing (NLP) models, most work relies on curated bias metrics that may not be reflective of real-world applications. At th…
coreference-resolutionCoreference ResolutionFairnessnamed-entity-recognition+3Parallel Data Helps Neural Entity Coreference Resolution
Coreference resolution is the task of finding expressions that refer to the same entity in a text. Coreference models are generally trained on monolingual annotated data but annotating coreference is expensive and challe…
coreference-resolutionCoreference ResolutionSentence-Incremental Neural Coreference Resolution
We propose a sentence-incremental neural coreference resolution system which incrementally builds clusters after marking mention boundaries in a shift-reduce method. The system is aimed at bridging two recent approaches …
coreference-resolutionCoreference ResolutionSentenceCOMET-M: Reasoning about Multiple Events in Complex Sentences
Understanding the speaker's intended meaning often involves drawing commonsense inferences to reason about what is not stated explicitly. In multi-event sentences, it requires understanding the relationships between even…
coreference-resolutionCoreference ResolutionSentenceLinear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective
Tasks that model the relation between pairs of tokens in a string are a vital part of understanding natural language. Such tasks, in general, require exhaustive pair-wise comparisons of tokens, thus having a quadratic ru…
coreference-resolutionCoreference ResolutionDependency ParsingStructured PredictionComparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution
Spurious correlations were found to be an important factor explaining model performance in various NLP tasks (e.g., gender or racial artifacts), often considered to be ''shortcuts'' to the actual task. However, humans te…
coreference-resolutionCoreference ResolutionDecision MakingQuestion AnsweringThe CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Language models (LMs) with less than 100B parameters are known to perform poorly on chain-of-thought (CoT) reasoning in contrast to large LMs when solving unseen tasks. In this work, we aim to equip smaller LMs with the …
Common Sense ReasoningCommon Sense Reasoning (Zero-Shot)Coreference ResolutionFew-Shot Learning+5Are Large Language Models Robust Coreference Resolvers?
Recent work on extending coreference resolution across domains and languages relies on annotated data in both the target domain and language. At the same time, pre-trained large language models (LMs) have been reported t…
coreference-resolutionCoreference ResolutionDomain AdaptationFew-Shot Learning+2PaLM 2 Technical Report
We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 is a Transformer-based model trained usin…
Code GenerationCommon Sense ReasoningCoreference ResolutionLanguage Modelling+4It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance
Progress in NLP is increasingly measured through benchmarks; hence, contextualizing progress requires understanding when and why practitioners may disagree about the validity of benchmarks. We develop a taxonomy of disag…
coreference-resolutionCoreference ResolutionQuestion AnsweringSurvey$2 * n$ is better than $n^2$: Decomposing Event Coreference Resolution into Two Tractable Problems
Event Coreference Resolution (ECR) is the task of linking mentions of the same event either within or across documents. Most mention pairs are not coreferent, yet many that are coreferent can be identified through simple…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionEvent Cross-Document Coreference Resolution+1LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions
Large language models (LLMs) with instruction fine-tuning demonstrate superior generative capabilities. However, these models are resource-intensive. To alleviate this issue, we explore distilling knowledge from instruct…
Common Sense ReasoningCoreference ResolutionDecoderDiversity+5Entity-Level Sentiment Analysis (ELSA): An exploratory task survey
This paper explores the task of identifying the overall sentiment expressed towards volitional entities (persons and organizations) in a document -- what we refer to as Entity-Level Sentiment Analysis (ELSA). While ident…
coreference-resolutionCoreference ResolutionSentenceSentiment Analysis+1Radar de Parité: An NLP system to measure gender representation in French news stories
We present the Radar de Parit\'e, an automated Natural Language Processing (NLP) system that measures the proportion of women and men quoted daily in six Canadian French-language media outlets. We outline the system's ar…
Articlescoreference-resolutionCoreference ResolutionBenCoref: A Multi-Domain Dataset of Nominal Phrases and Pronominal Reference Annotations
Coreference Resolution is a well studied problem in NLP. While widely studied for English and other resource-rich languages, research on coreference resolution in Bengali largely remains unexplored due to the absence of …
coreference-resolutionCoreference ResolutionPythia: A Suite for Analyzing Large Language Models Across Training and Scaling
How do large language models (LLMs) develop and evolve over the course of training? How do these patterns change as models scale? To answer these questions, we introduce \textit{Pythia}, a suite of 16 LLMs all trained on…
Common Sense ReasoningCoreference ResolutionLanguage ModellingMemorization+1Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective
It is increasingly common to evaluate the same coreference resolution (CR) model on multiple datasets. Do these multi-dataset evaluations allow us to draw meaningful conclusions about model generalization? Or, do they ra…
coreference-resolutionCoreference Resolution