Deep Learning for Natural Language Parsing by Sardar Jaf, Calum Calder

Subjects: Get full text

Explicit and Implicit Negation in the Natural Language by Larisa N Lunkova

Get full text

PROGRAMMING IN NATURAL LANGUAGE: PUBLICATIONS REVIEW by E. G. Luttsev

“…A monograph in Russian devoted to the natural language interfaces is reviewed.…”
Get full text

Natural Language Understanding: Methodological Conceptualization by Vitalii Shymko

Subjects: “…computational psycholinguistics, natural language understanding, structural ontology, information metabolism, language consciousness, verbal intelligence, artificial intelligence, mind.…”
Get full text

Natural Language Processing in Vascular Surgery by Hinpetch Daungsupawong, Viroj Wiwanitkit

Get full text

Reinforcement learning with natural language signals by Sidor, Szymon

Get full text

Cognitive and communicative pressures in natural language by Mahowald, Kyle

Get full text

Grounding natural language with autonomous interaction by Narasimhan, Karthik Rajagopal

Get full text

Evaluating style transfer in natural language by Matthews, Nicholas (Nicholas J.)

Get full text

Natural Language Interfaces for Data Analytics by Wellens, Quentin

“…We propose to design new paradigms in which users rely on their own natural language to analyze and visualize data. To that end, we develop three different approaches (unsupervised, rule-based, and supervised) to infer formal specifications from natural language utterances. …”
Get full text

Self-Training for Natural Language Processing by Luo, Hongyin

“…Data annotation is critical for machine learning based natural language processing models. Although many large-scale corpora and standard benchmarks have been annotated and published, they cannot cover all possible applications. …”
Get full text

On Memory Limitations in Natural Language Processing by Church, Kenneth Ward

“…This paper proposes a welcome hypothesis: a computationally simple device is sufficient for processing natural language. Traditionally it has been argued that processing natural language syntax requires very powerful machinery. …”
Get full text

Analogical generalization in natural language syntax. by George, Leland Maurice

Get full text
Get full text

Semi-supervised learning for natural language by Liang, Percy

Get full text

Natural language search of structured documents by Oney, Stephen W

Get full text

Building representations from natural language by Seifter, Mark J

Get full text

Defining Natural Language Grammars in GPSG by Ristad, Eric Sven

“…This paper is a formal analysis of whether generalized phrase structure grammar's (GPSG) weak context-free generative power will allow it to achieve three of its central goals: (1) to characterize all and only the natural language grammars, (2) to algorithmically determine membership and generative power consequences of GPSG's and (3) to embody the universalism of natural language entirely in the formal system. …”
Get full text

Toward understanding natural language directions by Kollar, Thomas Fleming, Tellex, Stefanie A., Roy, Deb K., Roy, Nicholas

“…Speaking using unconstrained natural language is an intuitive and flexible way for humans to interact with robots. …”
Get full text
Get full text
Get full text

Lagrangian relaxation for natural language decoding by Rush, Alexander M. (Alexander Matthew)

Get full text

Natural language processing as autoregressive generation by Lin, Xiang

“…The advances in deep learning have led to great achievements in many Natural Language Processing (NLP) tasks. With the nature of language, i.e., sequential data, most NLP tasks can be framed into the sequence learning framework, such as text generation. …”
Get full text