Results 91 to 100 of about 32,474 (200)
Narratives Contextualizing Numeric Disclosures: Insights From Earnings Calls
ABSTRACT We investigate how narrative disclosures during earnings conference calls (ECCs) provide context for quantitative numeric disclosures in quarterly earnings releases, enhancing their informativeness. Drawing on a large sample of 34,918 quarterly ECCs from 1621 US‐listed firms from 2007 to 2020, we extract interpretable textual attributes—such ...
Imelda Taraj, Ranik Raaen Wahlstrøm
wiley +1 more source
Research Direction and Science Evaluation: The Role of Coherence and Alignment
ABSTRACT The decisions of funding agencies greatly influence the direction of scientific research; however, our understanding of how applicants' research directions affect the selection process remains limited. In this study, we investigate how a project's coherence with a scientist's previous work and its alignment with current scientific trends ...
Charles Ayoubi +3 more
wiley +1 more source
Word2vec2syn : Synonymidentifiering med Word2vec
Inom NLP (eng. natural language processing) är synonymidentifiering en av de språkvetenskapliga utmaningarna som många antar. Fodina Language Technology AB är ett företag som skapat ett verktyg, Termograph, ämnad att samla termer inom företag och hålla den interna språkanvändningen konsekvent.
openaire +2 more sources
Resource Substitution: Local Governments' Issue Attention and Policy Reinvention
ABSTRACT Research on policy reinvention, where a government modifies rather than replicates policy innovations introduced by other governments, has progressed significantly, but how it is influenced by the government's issue attention has not been thoroughly examined.
Yingxin Zhang, Yixue Yao, Kaifeng Yang
wiley +1 more source
Temporal Analysis on Topics Using Word2Vec
The present study proposes a novel method of trend detection and visualization - more specifically, modeling the change in a topic over time. Where current models used for the identification and visualization of trends only convey the popularity of a singular word based on stochastic counting of usage, the approach in the present study illustrates the ...
Sandhu, Angad +4 more
openaire +2 more sources
AI‐Enhanced Semantic Feature Norms for 786 Concepts
Abstract Semantic feature norms have been foundational in the study of human conceptual knowledge, yet traditional methods face trade‐offs between concept/feature coverage and verifiability of quality due to the labor‐intensive nature of norming studies.
Siddharth Suresh +6 more
wiley +1 more source
The Influence of Feature Representation of Text on the Performance of Document Classification
In this paper we perform a comparative analysis of three models for a feature representation of text documents in the context of document classification.
Sanda Martinčić-Ipšić +2 more
doaj +1 more source
Language machines: Toward a linguistic anthropology of large language models
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux +2 more
wiley +1 more source
Punctuation and Parallel Corpus Based Word Embedding Model for Low-Resource Languages
To overcome the data sparseness in word embedding trained in low-resource languages, we propose a punctuation and parallel corpus based word embedding model.
Yang Yuan, Xiao Li, Ya-Ting Yang
doaj +1 more source

