16 papers · ranked by Valyu relevance
Chloé Braud, Ophélie Lacroix, Anders Søgaard
Discourse segmentation is a crucial step in building end-to-end discourse parsers. However, discourse segmenters only exist for a few languages and domains. Typically they only detect intra-sentential segment boundaries, assuming gold standard sentence and token segmentation, and relying on high-quality syntactic…
Vanessa Wei Feng, Graeme Hirst
Previous attempts at RST-style discourse segmentation typically adopt features centered on a single token to predict whether to insert a boundary before that token. In contrast, we develop a discourse segmenter utilizing a set of pairing features, which are centered on a pair of adjacent tokens in the sentence, by…
Iria da Cunha, Juan‐Manuel Torres‐Moreno
—Multilingual discourse parsing is a very prominent research topic. The first stage for discourse parsing is discourse segmentation. The study reported in this article addresses a review of two online available discourse segmenters (for English and Portuguese). We evaluate the possibility of developing similar…
Aitziber Atutxa, Kepa Bengoetxea, Arantza Diaz de Ilarraza, Mikel Iruskieta + 1 more
'Mikel Iruskieta' 'Harald Baayen'] Lately, discourse structure has received considerable attention due to the benefits its application offers in several NLP tasks such as opinion mining, summarization, question answering, text simplification, among others. When automatically analyzing texts, discourse parsers typically…
Iria da Cunha, Éric SanJuan, Juan‐Manuel Torres‐Moreno, Irene Castellón Masalles
'Irene Castellón Masalles'] > Abstract. At present, automatic discourse analysis is a relevant research topic in the field of NLP. However, discourse is one of the phenomena most difficult to process. Although discourse parsers have been already developed for several languages, this tool does not exist for Catalan. In…
Michael Heilman, Kenji Sagae
In recent years, There has been a variety of research on discourse parsing, particularly RST discourse parsing (Feng and Hirst, 2014; Li et al., 2014b; Ji and Eisenstein, 2014; Joty and Moschitti, 2014; Li et al., 2014a). Most of the recent work on RST parsing has focused on implementing new types of features or…
Sucheta Ghosh
Conversational discourse coherence depends on both linguistic and paralinguistic phenomena. In this work we combine both paralinguistic and linguistic knowledge into a hybrid framework through a multi-level hierarchy. Thus it outputs the discourse-level topic structures. The laughter occurrences are used as…
Kai Zhao, Liang Huang
Discourse parsing has long been treated as a stand-alone problem independent from constituency or dependency parsing. Most attempts at this problem are pipelined rather than end-to-end, sophisticated, and not self-contained: they assume goldstandard text segmentations (Elementary Discourse Units), and use external…
Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver + 1 more
'Catherine Higham'] Neural sentence encoders (NSE) are effective in many NLP tasks, including topic segmentation. However, no systematic comparison of their performance in topic segmentation has been performed. Here, we present such a comparison, using supervised and unsupervised segmentation models based on NSEs. We…
Peter Ford Dominey
During continuous perception of movies or stories, awake humans display cortical activity patterns that reveal hierarchical segmentation of event structure. Sensory areas like auditory cortex display high frequency segmentation related to the stimulus, while semantic areas like posterior middle cortex display a lower…
Joe Rodd, Caitlin Decuyper, Hans Rutger Bosker, Louis ten Bosch
Despite advances in automatic speech recognition (ASR), human input is still essential for producing research-grade segmentations of speech data. Conventional approaches to manual segmentation are very labor-intensive. We introduce POnSS, a browser-based system that is specialized for the task of segmenting the onsets…
Yunhao Mei, Fei Chen, Xiaoxiang Chen, Andrea Pavan
Background/Objectives: Normative perceptual segmentation facilitates event perception, comprehension, and memory. Given that native English listeners’ normative perceptual segmentation of English speech streams coexists with a highly selective attention pattern at segmentation boundaries, it is significant to test…
Ole Bialas, Edmund C. Lalor
In recent decades, research on the neural processing of speech and language increasingly investigated ongoing responses to continuously presented naturalistic speech, allowing researchers to ask interesting questions about different representations of speech and their relationships. This requires statistical models…
Yerai Doval, Carlos Gómez‐Rodríguez
Word segmentation is the task of inserting or deleting word boundary characters in order to separate character sequences that correspond to words in some language. In this article we propose an approach based on a beam search algorithm and a language model working at the byte/character level, the latter component…
S.B. Girimurugan, Yuhang Liu, Pei-Yau Lung, Daniel L. Vera + 3 more
Identification of functional elements of a genome often requires dividing a sequence of measurements along a genome into segments where adjacent segments have different properties, such as different mean values. This problem is often called the segmentation problem in the field of genomics, and the change-point problem…
Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen + 3 more
In materials research, the task of characterizing hundreds of different materials traditionally requires equally many human hours spent measuring samples one by one. We demonstrate that with the integration of computer vision into this material research workflow, many of these tasks can be automated, significantly…