Bayesian Analysis in Natural Language Processing by Kevin Duh

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Arabic natural language processing: An overview by Imane Guellil, Houda Saâdane, Faical Azouaou, Billel Gueni, Damien Nouvel

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Discovery of Kolmogorov Scaling in the Natural Language by Maurice H. P. M. van Putten

“…We consider the rate R and variance σ 2 of Shannon information in snippets of text based on word frequencies in the natural language. We empirically identify Kolmogorov’s scaling law in σ 2 ∝ k - 1 . 66 ± 0 . 12 (95% c.l.) as a function of k = 1 / N measured by word count N. …”
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Agile Logical Semantics for Natural Languages by Vincenzo Manca

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Formal Analysis of Meaning in Natural Languages by Ljiljana Saric

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Chinese Studies on the Logic of Natural Language by Chongli Zou, Kesheng Li

Subjects: “…logic of natural language (LNL)…”
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Querying knowledge graphs in natural language by Shiqi Liang, Kurt Stockinger, Tarcisio Mendes de Farias, Maria Anisimova, Manuel Gil

Subjects: “…Natural language processing…”
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Natural language processing in-and-for design research by L. Siddharth, Lucienne Blessing, Jianxi Luo

Subjects: “…Natural Language Processing…”
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Natural Language Processing and Computational Linguistics by Junichi Tsujii

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Pain—Linguistics and Natural Language Processing by Luke A. Carlson, BA, W. Michael Hooten, MD

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Considerations on Logical Consequence and Natural Language by Gil Sagi

“… In a recent article, “Logical Consequence and Natural Language,” Michael Glanzberg claims that there is no relation of logical consequence in natural language (2015). …”
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SpeakQL Natural Language to SQL by Shah Dhairya, Das Aniruddha, Shahane Aniket, Parikh Dharmik, Bari Pranit

“…Incorporating SQL questions from normal language is a long-standing open issue and has been drawing in extensive intrigue as of late. Natural Language Interface (NLI) is the confluence of Natural Language Processing (NLP) and Human-Computer Interaction, which allows interaction between humans and computers through the utilization of Natural Language. …”
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Generating visual explanations with natural language by Lisa Anne Hendricks, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Zeynep Akata

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Topic modeling in natural language texts by Anton Korshunov, Andrey Gomzin

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Bayesian Analysis in Natural Language Processing by Kevin Duh

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CLOUD SERVICES FOR NATURAL LANGUAGE PROCESSING by Ravil I. Mukhamediev, Adilkhan Symagulov, Yan I. Kuchin, Sabina Abdullayeva, Farida N. Abdoldina

Subjects: “…Natural language processing (NLP)…”
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Henkin semantics for reasoning with natural language by Michael Hahn, Frank Richter

“…The frequency of intensional and non-first-order definable operators in natural languages constitutes a challenge for automated reasoning with the kind of logical translations that are deemed adequate by formal semanticists. …”
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Techniques and components for natural language processing by O. Iosifova, I. Iosifov, O. Rolik

“…A dramatic change in the abilities of language models to provide state of the art accuracy in a number of Natural Language Processing tasks is currently observed. …”
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Implementing Natural Language Inference for comparatives by Izumi Haruta, Koji Mineshima, Daisuke Bekki

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Overview of Natural Language Video Localization by NIE Xiu-shan, PAN Jia-nan, TAN Zhi-fang, LIU Xin-fang, GUO Jie, YIN Yi-long

“…Natural language video localization(NLVL),which aims to locate a target moment from a video that semantically corresponds to a text query,is a novel and challenging task.Different from the task of temporal action localization,NLVL is more flexible without restrictions from predefined action categories.Meanwhile,NLVL is more challenging since it requires align semantic information from both visual and textual modalities.Besides,how to obtain the final timestamp from the alignment relationship is also a tough task.This paper first proposes the pipeline of NLVL,and then categorizes them into supervised and weakly-supervised methods according to whether there is supervised information,following by the analysis of the strengths and weaknesses of each kind of method.Subsequently,the dataset,evaluation protocols and the general performance analysis are presented.Finally,the possible perspectives are obtained by summarizing the existing methods.…”
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