Results 31 to 40 of about 9,473,317 (319)

Natural language processing [PDF]

, 2003
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 ...
Adams, Amsler, Bangalore, Barker, Benoît, Bian, Bondale, Carrick, Ceric, Chandrasekar, Chang, Charniak, Chen, Chowdhury, Chowdhury, Costantino, Cowie, Craven, Craven, Craven, Dogru, Evans, Feldman, Fernandez, Gaizauskas, Glasgow, Haas, Hayes, Hayes, Hedlund, Herath, Ide, Isahara, Jelinek, Jeong, Jurafsky, Kazakov, Kehler, Khoo, Kim, King, Lange, Lee, Lehmam, Lehtokangas, Lewis, Liddy, Liddy, Lovis, Ma, Magnini, Mani, Manning, Marquez, Martinez, Martinez, McMurchie, Meyer, Mihalcea, Mock, Moens, Morin, Narita, Nerbonne, Oard, Ogura, Oudet, Owei, Paris, Pasero, Pedersen, Perez-Carballo, Petreley, Pirkola, Poesio, Rosenfield, Roux, Say, Scarlett, Schenker, Silber, Smeaton, Smeaton, Smith, Sokol, Song, Sparck Jones, Staab, Stock, Tolle, Trybula, Tsuda, Vickery, Waldrop, Warner, Weigard, Wilks, Wong, Yang, Yang, Zadrozny, Zweigenbaum   +101 more
core   +1 more source

Development of a software and hardware solution to identify trends in demand for goods

Вестник Дагестанского государственного технического университета: Технические науки, 2023
Objective. The aim of the research work is to develop a software solution for identifying trends in demand for consumer goods by analyzing big data.Method.
A. I. Miftahova, E. I. Yangirov, E. I. Karaseva, A. I. Yangirov, E. Yu. Nikulina, I. G. Drovnikova   +5 more
doaj   +1 more source

Connectionist natural language parsing [PDF]

, 2002
The key developments of two decades of connectionist parsing are reviewed. Connectionist parsers are assessed according to their ability to learn to represent syntactic structures from examples automatically, without being presented with symbolic grammar
Berg, Callan, Christiansen, Christiansen, Cleeremans, Cottrell, Cottrell, Dominic Palmer-Brown, Elman, Fanty, Fodor, Frazier, Friederici, Giles, Greene, Hadley, Heather M. Powell, Ho, Howells, Jonathan A. Tepper, Kwansy, Lane, Lawrence, MacDonald, Marcus, Martelli, Mayberry, McDonald, Miikkulainen, Miikkulainen, Moisl, Pearlmutter, Pollack, Rayner, Reilly, Rodriguez, Santos, Sells, Selman, Servan-Schreiber, Sharkey, Sharkey, St. John, Stevenson, Stowe, Tanenhaus, Taraban, Tepper, Tepper, Waltz, Wermter, Wiles, Zeng   +52 more
core   +1 more source

WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation [PDF]

Conference on Empirical Methods in Natural Language Processing, 2022
A recurring challenge of crowdsourcing NLP datasets at scale is that human writers often rely on repetitive patterns when crafting examples, leading to a lack of linguistic diversity. We introduce a novel approach for dataset creation based on worker and
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi   +3 more
semanticscholar   +1 more source

Performance Study of N-grams in the Analysis of Sentiments

Journal of Nigerian Society of Physical Sciences, 2021
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, A. Gelbukh, H. Calvo, O. O. Adebanji   +3 more
doaj   +1 more source

Readers and Reading in the First World War [PDF]

, 2015
This essay consists of three individually authored and interlinked sections. In ‘A Digital Humanities Approach’, Francesca Benatti looks at datasets and databases (including the UK Reading Experience Database) and shows how a systematic, macro-analytical
Edmund G. C. King, , Francesca Benatti, , Shafquat Towheed, , The Stanford Natural Language Processing Group, University of Sheffield   +4 more
core   +1 more source

Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark [PDF]

Computer Vision and Pattern Recognition, 2021
Tracking by natural language specification is a new rising research topic that aims at locating the target object in the video sequence based on its language description.
Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu   +6 more
semanticscholar   +1 more source

Research on Technology of Generating Multi-table SQL Query Statement by Natural Language

Jisuanji kexue yu tansuo, 2020
SQL (structured query language) query generation from natural language is not only one of the most important parts of constructing intelligent database query system, but also one of the difficulties in the individualized operation and maintenance of ...
CAO Jinchao, HUANG Tao, CHEN Gang, WU Xiaofan, CHEN Ke
doaj   +1 more source

Natural Language and its Ontology [PDF]

, 2019
This paper gives a characterization of the ontology implicit in natural language and the entities it involves, situates natural language ontology within metaphysics, and responds to Chomskys' dismissal of externalist ...
Moltmann, Friederike
core   +1 more source

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data [PDF]

Conference on Empirical Methods in Natural Language Processing, 2017
Many modern NLP systems rely on word embeddings, previously trained in an unsupervised manner on large corpora, as base features. Efforts to obtain embeddings for larger chunks of text, such as sentences, have however not been so successful.
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, Antoine Bordes   +4 more
semanticscholar   +1 more source