Towards Understanding Situated Natural Language Antoine Bordes Nicolas Usunier Ronan Collobert LIP6, Universit´e Paris 6,

Source URL: ronan.collobert.com

Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks Sebastian Schuster and Christopher D. Manning Linguistics Department and Computer Science Department Stanford U

Source URL: nlp.stanford.edu

feature Talking to Computers in Natural Language Natural language understanding is as old as computing itself, but recent advances in machine learning and the rising demand

Source URL: cs.stanford.edu

Learning Executable Semantic Parsers for Natural Language Understanding Percy Liang Computer Science Department Stanford University Stanford, CA

Source URL: cs.stanford.edu

AN EXAMPLE FOR NATURAL LANGUAGE UNDERSTANDING AND THE AI PROBLEMS IT RAISES John McCarthy Computer Science Department Stanford University

Source URL: www-formal.stanford.edu

Adapting dependency parsing to spontaneous speech for open domain spoken language understanding Frederic Bechet, Alexis Nasr, Benoit Favre Aix Marseille Universite, CNRS-LIF Abstract Parsing human-human conversations con

Source URL: www.sensei-conversation.eu

• Linguistics
• Computational linguistics
• Corpus linguistics
• Natural language processing
• Corpora
• Speech recognition
• Treebank
• Parsing
• FrameNet
• Semantic role labeling
• PropBank
• Dependency grammar

In pursuit of decidable ‘logical form’ Michael Minock TCS/CSC KTH Royal Institute of Technology, Stockholm, Sweden Abstract

Source URL: www2.lingfil.uu.se

• Logic
• Mathematical logic
• Theoretical computer science
• Natural language processing
• Formal methods
• Computability theory
• Artificial intelligence
• Decidability
• First-order logic
• Natural language understanding
• Natural language user interface
• Entityrelationship model

Selected contributions, resulting from presentations at the workshop ‘‘Modeling Science-Understanding, Forecasting and Communicating the Science System,’’ held in Amsterdam, October 6–9, 2009 Guest Editors Katy

Source URL: cns.iu.edu

• Information science
• Information retrieval
• Cognitive science
• Simulation
• Natural language processing
• Bibliometrics
• Library and information science
• Relevance
• Scientometrics
• Conceptual model
• Agent-based model
• Scientific modelling

Structured Generative Models for Unsupervised Named-Entity Clustering Micha Elsner, Eugene Charniak and Mark Johnson Brown Laboratory for Linguistic Information Processing (BLLIP) Brown University Providence, RI 02912 {m

Source URL: bllip.cs.brown.edu

• Linguistics
• Computational linguistics
• Language
• Cognitive science
• Semantics
• Natural language processing
• Pronouns
• Machine learning
• Information extraction
• Named-entity recognition
• Entityrelationship model
• Message Understanding Conference

Processing spontaneous speech in deployed Spoken Language Understanding systems: a survey Frédéric Béchet LIA, Université d’Avignon

Source URL: pageperso.lif.univ-mrs.fr

• Computational linguistics
• Linguistics
• Natural language processing
• Humancomputer interaction
• Applied linguistics
• User interface techniques
• Speech recognition
• Computer accessibility
• Natural language understanding
• PropBank
• Speech translation