Advanced Topics in Natural Language Processing Seminar- Fall 2016

The goal of this seminar is to function as a reading group for topics of interest in NLP. This semester the seminar will focus on topics in semantic parsing, and as a side effect we will encounter various contemporary challenges in Natural Language Processing.
Administrative details
When: Sun, 16-18
Where: Schreiber 309
Office hour: Thu, 1630
Introduction class
Suggested topics

Topic 1 (Lena Dankin): CHILL slides

  • Zelle and Mooney, 1996 Learning to Parse Database Queries Using Inductive Logic Programming
  • Tang and Mooney, 2001 Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing
  • GeoQuery knowledge-base
  • Topic 2 (Tomer Wolfson): WASP slides

  • Ge and Mooney, 2005 A Statistical Model that Integrates Syntax and Semantics
  • Colling, 1997 Three Generative, Lexicalised Models for Statistical Parsing (background)
  • Wong and Mooney, 2006 Learning for Semantic Parsing with Statistical Machine Translation
  • Wong and Mooney, 2007 Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus
  • Topic 3 (Dor Muhlgay): Learning slides

  • Zettlemoyer and Collins, 2005 Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
  • Zettlemoyer and Collins, 2007 Online Learning of Relaxed CCG Grammars for Parsing to Logical Form
  • Collins, 2002 Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms (background)
  • Topic 4 (Hila Weisman) Representations (4/12) slides:

  • Steedman, 1996 A Very Short Introduction to CCG
  • Liang, 2013 Lambda Dependency-Based Compositional Semantics
  • Topic 5 (Ben Bogin) Weak supervision (11/12) slides:

  • Clarke et al., 2010 Driving Semantic Parsing from the World's Response
  • Liang et al., 2011 Learning dependency-based compositional semantics
  • Berant et al., 2013 Semantic Parsing on Freebase from Question-Answer Pairs
  • Topic 5.5 (Jonathan) Demo (18/12)
    Topic 6 (Amir Bar and Roei Herzig) Search (1/1 and 8/1) slides 1 slides 2:

  • Berant and Liang, 2015 Imitation Learning of Agenda-based Semantic Parsers
  • Jiang et al., 2012 Learned Prioritization for Trading Off Accuracy and Speed (background)
  • Daume et al., 2009 Search-based Structured Prediction (background)
  • Lee et al., 2016 Global Neural CCG Parsing with Optimality Guarantees
  • Klein and Manning, 2003 A* Parsing: Fast Exact Viterbi Parse Selection (background)
  • Topic 7 (Shimi and Ofir) Deep learning (15/1 and 22/1) slides 1:

  • Dong and Lapata, 2016 Language to Logical Form with Neural Attention
  • Jia and Liang, 2016 Data Recombination for Neural Semantic Parsing
  • Liang et al., 2016 Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
  • Misra and Artzi, 2016 Neural Shift-Reduce CCG Semantic Parsing
  • Liang et al., 2016 Semantic Parsing with Semi-Supervised Sequential Autoencoders
  • Topic 8 (Meishar) Data (29/1) slides:

  • Wang et al, 2016 Building a Semantic Parser Overnight
  • Wang et al, 2016 Learning Language Games through Interaction