Enriching models of natural language with auxiliary data by Malmaud, Jonathan Matthew.

Get full text

Natural Language Descriptions of Deep Visual Features by Hernandez, Evan

“…We introduce a procedure (called MILAN, for mutual-information guided linguistic annotation of neurons) that automatically labels neurons with open-ended, compositional, natural language descriptions. Given a neuron, MILAN generates a description by searching for a natural language string that maximizes pointwise mutual information with the image regions in which the neuron is active. …”
Get full text

Privacy-Preserving Natural Language Dataset Generation by Chen, Ashley

Get full text

A theory of syntactic recognition for natural language. by Marcus, Mitchell Philip

Get full text

Coherence in natural language : data structures and applications by Wolf, Florian, 1975-

Get full text

Wait-and-See Strategies for Parsing Natural Language by Marcus, Mitchell P.

Get full text

Representing the Semantics of Natural Language as Constraint Expressions by Grossman, Richard W.

Get full text

Decoding algorithms for complex natural language tasks by Deshpande, Pawan

Get full text

Sepia: a Framework for Natural Language Semantics by Marton, Gregory Adam, Westrick, Linda Brown

Get full text

Natural Language Syntax and First Order Preference by McAllester, David, Givan, Robert

Get full text

Computational Consequences of Agreement and Ambiguity in Natural Language by Ristad, Eric Sven, Berwick, Robert C.

“…Here we show that a simple, theory-neutral linguistic model of syntactic agreement and ambiguity demonstrates that natural language parsing may be computationally intractable. …”
Get full text

A computational model of quantification in natural language by Kenney, Avril (Avril Frances)

Get full text

Missing argument referent identification in natural language by Foran, Jeffrey (Jeffrey Matthew), 1977-

Get full text

Learning semantic maps from natural language by Hemachandra, Sachithra Madhawa

Get full text

Structured pointing networks for natural language understanding by Nguyen, Thanh Tung

“…Natural Language Understanding (NLU) is a subfield in Natural Language Processing (NLP) that deals with machine comprehension of the structure and meaning of human languages. …”
Get full text

Automatic question generation with natural language processing by Tran, Thuy Dung

“…In Natural Language Processing (NLP), Automatic Question Generation (AQG) is an important task that involves generating human-comprehensible questions from an input text. …”
Get full text

Adversarial attacks and defenses in natural language processing by Dong, Xinshuai

“…In this thesis, we first give a brief introduction of adversarial attacks and defenses. We focus on Natural Language Processing (NLP) and review some recent advances in attack algorithms and defense methods in Chapter 2. …”
Get full text

Application of parallel processing in natural language processing by Xu, Peng.

“…Natural Language Processing (NLP)is an important research direction, since it addresses the needs of building a next-generation multi-language-processing tool for fast information exchange and acquisition. …”
Get full text

Natural language processing for web document representation by Hoang, Manh Linh.

“…With important decision-makings becoming more dependent on these huge resources, there is a growing need for techniques which is able to produce more comprehensible representations of text documents for users by using Natural Language Processing (NLP) techniques NLP concerns the issues of portraying information in natural (human) language. …”
Get full text

Semantic representation learning for natural language understanding by Zhang, Yong

“…Researchers in the natural language processing community have delivered many marvelous technologies for various applications, such as information retrieval, machine translation, sentiment analysis, etc. …”
Get full text