21 papers · ranked by Valyu relevance
Authors not listed
An aspirational goal of the field of natural language processing (NLP) is to develop computer systems that can perform tasks that require understanding natural language. Imagine, for instance, a computer program that could seamlessly execute users' Englishlanguage instructions, even when they involve complex reasoning…
Halil Kilicoglu, Dina Demner-Fushman, Tudor Groza
Coreference resolution is one of the fundamental and challenging tasks in natural language processing. Resolving coreference successfully can have a significant positive effect on downstream natural language processing tasks, such as information extraction and question answering. The importance of coreference…
Halil Kilicoglu, Graciela Rosemblat, Marcelo Fiszman, Thomas C. Rindflesch
'Thomas C. Rindflesch'] Background Entity coreference is common in biomedical literature and it can affect text understanding systems that rely on accurate identification of named entities, such as relation extraction and automatic summarization. Coreference resolution is a foundational yet challenging natural language…
K. Bretonnel Cohen, Arrick Lanfranchi, Miji Joo-young Choi, Michael Bada + 5 more
'Michael Bada' 'William A. Baumgartner Jr.' 'Natalya Panteleyeva' 'Karin Verspoor' 'Martha Palmer' 'Lawrence E. Hunter'] Background Coreference resolution is the task of finding strings in text that have the same referent as other strings. Failures of coreference resolution are a common cause of false negatives in…
Ali Rahman, Vincent Ng
Traditional learning-based coreference resolvers operate by training the mention-pair model for determining whether two mentions are coreferent or not. Though conceptually simple and easy to understand, the mention-pair model is linguistically rather unappealing and lags far behind the heuristic-based coreference…
Jixing Li, Shaonan Wang, Wen-Ming Luh, Liina Pylkkänen + 2 more
Human language processing involves not only combining word meanings in accordance with semantic and syntactic constraints, but also figuring out who and what is being referred to. Here we present a first study towards a mechanistic understanding of the neural basis for referential processing. Using both functional MRI…
Ngan Nguyen, Jin-Dong Kim, Makoto Miwa, Takuya Matsuzaki + 1 more
'Junichi Tsujii'] Background Current research has shown that major difficulties in event extraction for the biomedical domain are traceable to coreference. Therefore, coreference resolution is believed to be useful for improving event extraction. To address coreference resolution in molecular biology literature, the…
Lingerew Bantie Asmare
Coreference resolution is the task of identifying all textual expressions that refer to the same real-world entity within a document. Coreference resolution is essential for several NLP applications, including machine translation, question answering, information extraction, summarization, and dialogue systems. While…
Hong Chen, Zhenhua Fan, Hao Lu, Alan Yuille + 1 more
We introduce PreCo, a large-scale English dataset for coreference resolution. The dataset is designed to embody the core challenges in coreference, such as entity representation, by alleviating the challenge of low overlap between training and test sets and enabling separated analysis of mention detection and mention…
Amir Zeldes
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 NLP practitioners, including the treatment of generic NPs, noun modifiers, indefinite anaphora…
Nafise Sadat Moosavi, Michael Strube
Coreference resolution is an intermediate step for text understanding. It is used in tasks and domains for which we do not necessarily have coreference annotated corpora. Therefore, generalization is of special importance for coreference resolution. However, while recent coreference resolvers have notable improvements…
Brendan O’Connor, Michael Heilman
ARKref is a tool for noun phrase coreference that is based on the system described by Haghighi and Klein (2009) (which was never publicly released). It was originally written in 2009. At the time of writing, the last released version was in March 2011. This document describes that version, which is open-source and…
Nikolaos Stylianou, Ioannis Vlahavas
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 great importance for downstream natural language processing tasks such as entity linking, machine…
Golomb Durán Tomas, Far Antoni Josep, Díaz Anna, Barroso María + 3 more
A vast amount of valuable information on species occurrences remains embedded within the unstructured and continuously expanding body of ecological literature written in natural language. When effectively extracted, such dispersed knowledge has the potential to significantly improve understanding of species…
Ping Chen, David Hinote, Guoqing Chen
Materials and Methods: Experiment materials used in this study is provided by the 2011 i2b2 Natural Language Processing Challenge. The 2011 i2b2 challenge involves coreference resolution in medical documents. Concept mentions have been annotated in clinical texts, and the mentions that co-refer in each document are to…
Shulin Zhang, Jixing Li, Yiming Yang, John Hale
Chinese is one of many languages that can drop subjects. We report an fMRI study of language comprehension processes in these “zero pronoun” cases. The fMRI data come from Chinese speakers who listened to an audiobook. We conducted both univariate GLM and multivariate pattern analysis (MVPA) on these data time-locked…
Mante S. Nieuwland, Andrea E. Martin
The ability to use words to refer to the world is vital to the communicative power of human language. In particular, the anaphoric use of words to refer to previously mentioned concepts (antecedents) allows dialogue to be coherent and meaningful. Psycholinguistic theory posits that anaphor comprehension involves…
Jacob Bor, William MacLeod, Katia Oleinik, James Potter + 7 more
Chronic disease management requires the ability to link patient records across multiple interactions with the health sector. South Africa’s National Health Laboratory Service (NHLS) conducts all routine laboratory monitoring for the country’s national public sector HIV program. However, the absence of a validated…
Guido Pauli, G. Joseph Ray, Anton Bzhelyansky, Birgit Jaki + 18 more
Classical 1D 1H NMR spectra are prototypic for NMR spectroscopy in that they represent a wealth of chemical information encoded into convoluted graphs or patterns that contain complex features (aka multiplets), even for seemingly simple molecules. Accordingly, the utility of NMR depends on the theoretical and visual…
Luke T Slater, William Bradlow, Dino FA Motti, Robert Hoehndorf + 2 more
Negation detection is an important task in biomedical text mining. Particularly in clinical settings, it is of critical importance to determine whether findings mentioned in text are present or absent. Rule-based negation detection algorithms are a common approach to the task, and more recent investigations have…
Authors not listed
The high lateral resolution and sensitivity of the NanoSIMS 50 and 50L series of dynamic SIMS instruments has enabled numerous scientific advances over the past 25 years. Here we report on the NanoSIMS-HR, the first major upgrade to the series, and analytical tests in a suite of sample types, including an aluminum…