Search · four archives
Search · four archives
15 papers · ranked by Valyu relevance
Wei Xiang, Bang Wang
A discourse containing one or more sentences describes daily issues and events for people to communicate their thoughts and opinions. As sentences are normally consist of multiple text segments, correct understanding of the theme of a discourse should take into consideration of the relations in between text segments.…
Hao Zhou, Man Lan, Yuanbin Wu, Yuefeng Chen + 1 more
Due to the absence of connectives, implicit discourse relation recognition (IDRR) is still a challenging and crucial task in discourse analysis. Most of the current work adopted multi-task learning to aid IDRR through explicit discourse relation recognition (EDRR) or utilized dependencies between discourse relation…
Zhongyang Fang, Yue Cong, Yuhan Chai, Chengliang Gao + 3 more
'Jing Qiu' 'Wray Buntine'] Implicit discourse relation recognition (IDRR) has long been considered a challenging problem in shallow discourse parsing. The absence of connectives makes such relations implicit and requires much more effort to understand the semantics of the text. Thus, it is important to preserve the…
Chenxu Wang, Ping Jian, Mu Huang
Implicit Discourse Relation Recognition (IDRR), which infers discourse relations without the help of explicit connectives, is still a crucial and challenging task for discourse parsing. Recent works tend to exploit the hierarchical structure information from the annotated senses, which demonstrate enhanced discourse…
Xinyi Cai
Implicit discourse relation recognition is a challenging task in discourse analysis due to the absence of explicit discourse connectives between spans of text. Recent pre-trained language models have achieved great success on this task. However, there is no fine-grained analysis of the performance of these pre-trained…
Chunkit Chan, Xin Liu, Jiayang Cheng, Z. Z. Li + 3 more
'Ginny Y. Wong' 'Simon See'] Implicit Discourse Relation Recognition (IDRR) is a sophisticated and challenging task to recognize the discourse relations between the arguments with the absence of discourse connectives. The sense labels for each discourse relation follow a hierarchical classification scheme in the…
Wei Liu, Stephen Wan, Michael Strube
Recognition? Authors: ['Wei Liu' 'Stephen Wan' 'Michael Strube'] We consider an unanswered question in the discourse processing community: why do relation classifiers trained on explicit examples (with connectives removed) perform poorly in real implicit scenarios? Prior work claimed this is due to linguistic…
Chinh Trong Nguyen, Dang Tuan Nguyen
Recently, many deep learning models have archived high results in question answering task with overall F1 scores above 0.88 on SQuAD datasets. However, many of these models have quite low F1 scores on why-questions. These F1 scores range from 0.57 to 0.7 on SQuAD v1.1 development set. This means these models are more…
James Britton, Yan Cong, Yu-Yin Hsu, Emmanuele Chersoni + 1 more
'Philippe Blache'] Psycholinguistic literature has consistently shown that humans rely on a rich and organized understanding of event knowledge to predict the forthcoming linguistic input during online sentence comprehension. We, the authors, expect sentences to maintain coherence with the preceding context, making…
Malihe Alikhani, Baber Khalid, Matthew Stone
Human communication often combines imagery and text into integrated presentations, especially online. In this paper, we show how image-text coherence relations can be used to model the pragmatics of image-text presentations in AI systems. In contrast to alternative frameworks that characterize image-text presentations…
Takahisa Uchida, Nicolas Lair, Hiroshi Ishiguro, Peter Ford Dominey
Language models (LMs) continue to reveal non-trivial relations to human language performance and the underlying neurophysiology. Recent research has characterized how word embeddings from an LM can be used to generate integrated discourse representations in order to perform inference on events. The current research…
Céline Pozniak, Barbara Hemforth
Differences in the processing of subject and object relative clauses have been explained by a combination of syntactic, semantic, and pragmatic factors, such as a general subject advantage based on syntactic constraints, effects of animacy, and the discourse status of relative clause internal subjects. In this paper…
Hasin Rehana, Junguk Hur
Pharmacovigilance relies on accurate extraction of structured biomedical entities and their semantic relationships from scientific literature. However, most biomedical information extraction systems address named entity recognition (NER) and relation extraction as separate tasks trained on corpus-specific…
Ahmad Aghaebrahimian, Maria Anisimova, Manuel Gil
Automatically extracting relationships from biomedical texts among multiple sorts of entities is an essential task in biomedical natural language processing with numerous applications, such as drug development or repurposing, precision medicine, and other biomedical tasks requiring knowledge discovery. Current Relation…
Maryam KafiKang, Abdeltawab Hendawi
Drug-drug interactions (DDIs) happen when two or more drugs interact. DDIs may change the effect of drugs in the body which can induce adverse effects and severe diseases for patients. As a result, detecting the interaction between drugs is essential. In the last years, many new DDIs have been found and added to the…