Results 11 to 20 of about 100,090 (264)
Natural language processing [PDF]
Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in this area since the last ARIST Chapter in 1996 (Haas, 1996), including: (i) natural language text processing systems - text summarization, information extraction, information retrieval, etc., including domain-specific applications; (ii) natural language ...
Chowdhury, Gobinda G. +3 more
openaire +5 more sources
On robustness for natural language processing [PDF]
As a discipline, machine learning has contributed to significant breakthroughs in Natural Language Processing (NLP), aiming to design algorithms to manipulate text and produce insights, such as classification and summarization, comparable to those of humans.
La Malfa, Emanuele
openaire +3 more sources
Biomedical Natural Language Processing [PDF]
Jin-Dong Kim
doaj +2 more sources
Organizing an in-class hackathon to correct PDF-to-text conversion errors of 1.0 [PDF]
This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first ...
Sunho Kim +44 more
doaj +1 more source
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning [PDF]
Developing artificial learning systems that can understand and generate natural language has been one of the long-standing goals of artificial intelligence.
Š +20 more
core +1 more source
Text-to-SQL is the problem of converting a user question into an SQL query, when the question and database are given. In this article, we present a neural network approach called RYANSQL (Recursively Yielding Annotation Network for SQL) to solve complex ...
DongHyun Choi +3 more
doaj +1 more source
Performance Study of N-grams in the Analysis of Sentiments
In this work, a study investigation was carried out using n-grams to classify sentiments with different machine learning and deep learning methods. We used this approach, which combines existing techniques, with the problem of predicting sequence tags to
O. E. Ojo +3 more
doaj +1 more source
Evaluating Sentence Representations for Biomedical Text: Methods and Experimental Results [PDF]
Text representations ar one of the main inputs to various Natural Language Processing (NLP) methods. Given the fast developmental pace of new sentence embedding methods, we argue that there is a need for a unified methodology to assess these different ...
Tawfik, N. +3 more
core +1 more source
On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning [PDF]
Recent work has shown evidence that the knowledge acquired by multilingual BERT (mBERT) has two components: a language-specific and a language-neutral one.
Dupoux, Emmanuel +12 more
core +1 more source
Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets
This article investigates the integration of machine learning in the political claim annotation workflow with the goal to partially automate the annotation and analysis of large text corpora.
Sebastian Haunss +6 more
doaj +1 more source

