19 citations · 28 across the 12 of their papers we have counts for
12 papers
Improving LLMs' Learning for Coreference Resolution
Yujian Gan, Yuan Liang, Yanni Lin +2
Coreference Resolution (CR) is crucial for many NLP tasks, but existing LLMs struggle with hallucination and under-performance. In this paper, we investigate the limitations of exi…
Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Texts
Juntao Yu, Silviu Paun, Maris Camilleri +4
Although several datasets annotated for anaphoric reference/coreference exist, even the largest such datasets have limitations in terms of size, range of domains, coverage of anaph…
Scoring Coreference Chains with Split-Antecedent Anaphors
Silviu Paun, Juntao Yu, Nafise Sadat Moosavi +1
Anaphoric reference is an aspect of language interpretation covering a variety of types of interpretation beyond the simple case of identity reference to entities introduced via no…
Stay Together: A System for Single and Split-antecedent Anaphora Resolution
Juntao Yu, Nafise Sadat Moosavi, Silviu Paun +1
The state-of-the-art on basic, single-antecedent anaphora has greatly improved in recent years. Researchers have therefore started to pay more attention to more complex cases of an…
Neural Coreference Resolution for Arabic
Abdulrahman Aloraini, Juntao Yu, Massimo Poesio
No neural coreference resolver for Arabic exists, in fact we are not aware of any learning-based coreference resolver for Arabic since (Bjorkelund and Kuhn, 2014). In this paper, w…
Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution
Juntao Yu, Nafise Sadat Moosavi, Silviu Paun +1
Now that the performance of coreference resolvers on the simpler forms of anaphoric reference has greatly improved, more attention is devoted to more complex aspects of anaphora. O…
Named Entity Recognition as Dependency Parsing
Juntao Yu, Bernd Bohnet, Massimo Poesio
Named Entity Recognition (NER) is a fundamental task in Natural Language Processing, concerned with identifying spans of text expressing references to entities. NER research is oft…
Multi-task Learning Based Neural Bridging Reference Resolution
Juntao Yu, Massimo Poesio
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 b…
A Cluster Ranking Model for Full Anaphora Resolution
Juntao Yu, Alexandra Uma, Massimo Poesio
Anaphora resolution (coreference) systems designed for the CONLL 2012 dataset typically cannot handle key aspects of the full anaphora resolution task such as the identification of…
Neural Mention Detection
Juntao Yu, Bernd Bohnet, Massimo Poesio
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 hav…
Semi-Supervised Methods for Out-of-Domain Dependency Parsing
Juntao Yu
Dependency parsing is one of the important natural language processing tasks that assigns syntactic trees to texts. Due to the wider availability of dependency corpora and improved…
Dependency Language Models for Transition-based Dependency Parsing
Juntao Yu, Bernd Bohnet
In this paper, we present an approach to improve the accuracy of a strong transition-based dependency parser by exploiting dependency language models that are extracted from a larg…